system

Abstract

The system according to this embodiment aims to transform an entrepreneur's ideas and vision into a concrete business plan, even without specialized knowledge. [Solution] The system according to this embodiment comprises an analysis unit, a provision unit, a planning unit, and a strategy unit. The analysis unit analyzes the entrepreneur's ideas and vision. The provision unit provides the necessary skills and procedures based on the results analyzed by the analysis unit. The planning unit supports the selection of a business domain and the creation of a business plan based on the information provided by the provision unit. The strategy unit provides branding and marketing strategies based on the business plan created by the planning unit.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, there is a problem that the process of converting the ideas and visions held by entrepreneurs into specific business plans is complex and difficult to execute without specialized knowledge.

[0005] The system according to the embodiment aims to convert the ideas and visions held by entrepreneurs into specific business plans even without specialized knowledge.

Means for Solving the Problems

[0006] The system according to this embodiment comprises an analysis unit, a provision unit, a planning unit, and a strategy unit. The analysis unit analyzes the entrepreneur's ideas and vision. The provision unit provides the necessary skills and procedures based on the results analyzed by the analysis unit. The planning unit supports the selection of a business domain and the creation of a business plan based on the information provided by the provision unit. The strategy unit provides branding and marketing strategies based on the business plan created by the planning unit. [Effects of the Invention]

[0007] The system according to this embodiment can transform an entrepreneur's ideas and vision into a concrete business plan, even without specialized knowledge. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10]This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

[0011] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), or TPU (Tensor Processing Unit).

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0013] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0014] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, etc. The communication I / F manages communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0016] [First Embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] As shown in FIG. 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 comprises a computer 36, a receiving device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0023] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0025] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The business creation support system according to an embodiment of the present invention is a system that precisely analyzes an entrepreneur's ideas and vision and, based on that, provides the necessary skills, procedures, business domain selection, business plan creation, branding, and marketing strategies. This business creation support system uses AI to precisely analyze the entrepreneur's ideas and vision and, based on the analysis results, provides the necessary skills, procedures, business domain selection, business plan creation, branding, and marketing strategies for starting a business. As a result, entrepreneurs can execute using the optimized business plan provided by the AI ​​as a guideline. This mechanism makes it possible to promote the creation and growth of new businesses and drive bold innovation. For example, the business creation support system uses AI to precisely analyze the entrepreneur's ideas and vision. In this process, the AI ​​performs a detailed analysis based on the ideas and vision entered by the entrepreneur. For example, if the entrepreneur has a new business idea, the AI ​​analyzes its market potential and competitive situation. This allows the entrepreneur to understand how likely their idea is to succeed. Next, based on the analysis results, the AI ​​provides the necessary skills and procedures for starting a business. For example, the AI ​​suggests the skill set required by the entrepreneur and the legal procedures necessary to start a business. This allows entrepreneurs to clearly understand what they need to learn and what procedures they need to follow. Furthermore, AI supports the selection of business domains and the creation of business plans. For example, AI suggests which markets entrepreneurs should enter and what business models they should adopt. AI also assists in creating concrete business plans. This allows entrepreneurs to act with a concrete business plan. Next, AI provides branding and marketing strategies. For example, AI suggests what kind of brand image entrepreneurs should build and what marketing methods they should adopt. This enables entrepreneurs to conduct effective branding and marketing. Finally, entrepreneurs execute the optimized business plan provided by AI as a guideline. This makes it possible to create and grow new businesses and drive bold innovation.For example, an entrepreneur can develop and launch a new product based on AI suggestions, paving the way to success. This system allows for the creation of entirely new ideas, free from traditional business models, and provides powerful support for leading businesses to success. For instance, when an entrepreneur starts a business utilizing new technology, AI can analyze the market potential and competitive landscape of that technology and provide an optimal business plan, allowing the entrepreneur to proceed with confidence.

[0029] The business creation support system according to this embodiment comprises an analysis unit, a provision unit, a planning unit, and a strategy unit. The analysis unit analyzes the entrepreneur's ideas and visions. For example, the analysis unit analyzes market potential and competitive landscape based on the ideas and visions entered by the entrepreneur. For example, if the entrepreneur has a new business idea, the analysis unit can analyze its market potential and competitive landscape. The analysis unit can also use AI to analyze the entrepreneur's ideas and visions in detail. For example, the analysis unit uses AI to collect market data and competitive information and provides the analysis results. The provision unit provides the necessary skills and procedures based on the results analyzed by the analysis unit. For example, the provision unit proposes the skill set required by the entrepreneur and the legal procedures necessary to start a business. For example, the provision unit can use AI to propose the skills and procedures required by the entrepreneur. The provision unit can also use AI to clarify the skills that the entrepreneur should learn and the procedures that they should take. The planning unit supports the selection of business domains and the creation of business plans based on the information provided by the provision unit. For example, the planning unit proposes which market the entrepreneur should enter and what kind of business model they should adopt. For example, the Planning Department can use AI to suggest markets that entrepreneurs should enter and business models they should adopt. The Planning Department can also use AI to assist in creating concrete business plans. The Strategy Department provides branding and marketing strategies based on the business plans created by the Planning Department. For example, the Strategy Department suggests what kind of brand image entrepreneurs should build and what marketing methods they should adopt. For example, the Strategy Department can use AI to suggest the brand image entrepreneurs should build and the marketing methods they should adopt. Furthermore, the Strategy Department can use AI to provide concrete branding and marketing strategies. As a result, the business creation support system according to this embodiment can comprehensively support entrepreneurs in creating businesses and promote the creation and growth of new businesses.

[0030] The analytics department analyzes entrepreneurs' ideas and visions. For example, it analyzes market potential and competitive landscape based on the ideas and visions entered by entrepreneurs. Specifically, if an entrepreneur has a new business idea, the analytics department can analyze its market potential and competitive landscape in detail. For example, if an entrepreneur has devised a new product or service, the analytics department investigates which markets will accept that product or service and what kind of competitors exist. Market potential analysis evaluates the size of the target market, its growth rate, consumer needs, and trends. Competitive landscape analysis analyzes the strengths and weaknesses of major competitors, their pricing strategies, and market share. Furthermore, the analytics department can also use AI to analyze entrepreneurs' ideas and visions in detail. For example, AI automatically collects large amounts of market data and competitive information and analyzes this data using natural language processing technology. Based on past market data and competitive information, AI can predict future market trends and competitor movements. This allows entrepreneurs to understand how their ideas will be received in the market and what advantages they have over competitors. Furthermore, the analytics department can conduct technical feasibility studies and cost-benefit analyses to assess the feasibility of an entrepreneur's vision. This allows entrepreneurs to understand whether their business idea is viable and what resources are needed.

[0031] The service provider provides the necessary skills and procedures based on the analysis conducted by the analytics department. Specifically, it proposes the skill sets required by entrepreneurs and the legal procedures necessary to start a business. For example, to provide entrepreneurs with the skills and knowledge needed to launch a new business, the service provider can use AI to clarify the skills that entrepreneurs should learn and the procedures they should take. Based on the entrepreneur's business idea and vision, the AI ​​identifies the necessary skill sets and proposes appropriate training programs and educational resources. For example, if an entrepreneur needs technical skills, the AI ​​proposes online courses and workshops to learn skills such as programming, data analysis, and project management. The service provider also provides information on the legal procedures and regulations necessary to start a business. For example, it proposes legal procedures such as company registration, patent and trademark acquisition, and tax filing necessary for entrepreneurs to launch a new business. Based on the entrepreneur's business idea and vision, the AI ​​can identify the necessary legal procedures and introduce appropriate resources and experts. This allows the service provider to quickly and efficiently provide entrepreneurs with the skills and procedures necessary to launch a business, supporting their business creation. Furthermore, the service provider can continuously update the skills and procedures that entrepreneurs need, providing them with the latest information. This allows entrepreneurs to always acquire the latest skills and knowledge and prepare themselves for business success.

[0032] The Planning Department supports entrepreneurs in selecting business domains and creating business plans based on information provided by the Delivery Department. Specifically, it proposes which markets entrepreneurs should enter and what business models they should adopt. For example, when an entrepreneur is launching a new business, the Planning Department can use AI to suggest the markets they should enter and the business models they should adopt. Based on historical market data and competitor information, the AI ​​identifies the optimal market and business model and creates a concrete business plan based on that. For example, the AI ​​analyzes market growth rates, consumer needs, and competitor trends to identify the market where entrepreneurs are most likely to succeed. The AI ​​also proposes the optimal business model based on the entrepreneur's business idea and vision. For example, it selects the best model from various business models such as subscription models, freemium models, and on-demand models. Furthermore, the Planning Department can also use AI to assist in creating concrete business plans. The AI ​​automatically generates each element of the business plan (market analysis, competitor analysis, marketing strategy, financial plan, etc.) and provides it to the entrepreneur. This allows entrepreneurs to quickly and efficiently create business plans and prepare for business launch. In addition, the Planning Department can monitor the progress of the business plan and revise it as needed. This allows entrepreneurs to always have business plans based on the latest information and to take appropriate actions to ensure business success.

[0033] The Strategy Department provides branding and marketing strategies based on the business plan created by the Planning Department. Specifically, it proposes what kind of brand image entrepreneurs should build and what marketing methods they should adopt. For example, the Strategy Department can use AI to suggest the brand image entrepreneurs should build and the marketing methods they should adopt. The AI ​​analyzes consumer preferences and trends to identify the optimal brand image and marketing methods. For example, the AI ​​analyzes social media data to identify what kind of brand image consumers prefer and what marketing methods are effective. The AI ​​can also suggest the most effective marketing methods based on data from past marketing campaigns. Furthermore, the Strategy Department can also use AI to provide specific branding and marketing strategies. The AI ​​automatically generates and provides specific branding and marketing strategies, such as brand logo and slogan design, advertising campaign planning, and social media management, to entrepreneurs. This allows entrepreneurs to quickly and efficiently implement branding and marketing strategies and prepare for business success. In addition, the Strategy Department can monitor the effectiveness of marketing campaigns and revise strategies as needed. This ensures that entrepreneurs always have branding and marketing strategies based on the latest information and can take appropriate actions to achieve business success.

[0034] The service provider can propose the skill sets and legal procedures that entrepreneurs need. For example, the service provider can propose the skill sets that entrepreneurs need. For example, the service provider can use AI to propose the technical and business skills that entrepreneurs need. The service provider can also propose the legal procedures that entrepreneurs need. For example, the service provider can use AI to propose company incorporation procedures and intellectual property rights acquisition procedures. This allows entrepreneurs to clearly understand the skills and procedures they need. Some or all of the above processes in the service provider may be performed using AI, or not using AI. For example, the service provider can input the skill sets and legal procedures that entrepreneurs need into AI, and the AI ​​can propose the most suitable skill sets and procedures.

[0035] The analysis department can analyze market potential and competitive landscape based on ideas and visions entered by entrepreneurs. For example, if an entrepreneur has a new business idea, the analysis department can analyze its market potential and competitive landscape. For example, the analysis department can use AI to analyze the entrepreneur's ideas and visions in detail. The analysis department can also use AI to collect market data and competitive information and provide analysis results. This allows entrepreneurs to understand the market potential and competitiveness of their ideas. Some or all of the above-described processes in the analysis department may be performed using AI, or not. For example, the analysis department can input ideas and visions entered by entrepreneurs into AI, and the AI ​​can analyze market potential and competitive landscape.

[0036] The planning department can suggest which markets entrepreneurs should enter and what business models they should adopt. For example, the planning department can suggest markets that entrepreneurs should enter. For example, the planning department can use AI to suggest markets that entrepreneurs should enter. The planning department can also suggest business models that entrepreneurs should adopt. For example, the planning department can use AI to suggest business models that entrepreneurs should adopt. This allows entrepreneurs to act with concrete business plans. Some or all of the above processes in the planning department may be performed using AI, or not using AI. For example, the planning department can input the markets that entrepreneurs should enter and the business models they should adopt into AI, and the AI ​​can suggest the optimal markets and business models.

[0037] The Strategy Department can propose what kind of brand image an entrepreneur should build and what marketing methods they should adopt. For example, the Strategy Department can propose a brand image that an entrepreneur should build. For example, the Strategy Department can use AI to propose a brand image that an entrepreneur should build. The Strategy Department can also propose marketing methods that an entrepreneur should adopt. For example, the Strategy Department can use AI to propose marketing methods that an entrepreneur should adopt. This enables entrepreneurs to conduct effective branding and marketing. Some or all of the above processes in the Strategy Department may be performed using AI, or not using AI. For example, the Strategy Department can input the brand image that an entrepreneur should build and the marketing methods they should adopt into AI, and the AI ​​can propose the optimal brand image and marketing methods.

[0038] The Strategy Department can provide entrepreneurs with concrete action plans to develop and market new products based on AI suggestions. For example, the Strategy Department can provide entrepreneurs with action plans to develop new products. For example, the Strategy Department can use AI to provide entrepreneurs with action plans to develop new products. The Strategy Department can also provide entrepreneurs with action plans to market new products. For example, the Strategy Department can use AI to provide entrepreneurs with action plans to market new products. This allows entrepreneurs to market new products with concrete action plans. Some or all of the above processes in the Strategy Department may be performed using AI, or not. For example, the Strategy Department can input an action plan for entrepreneurs to develop and market new products into an AI, and the AI ​​can propose an optimal action plan.

[0039] The analysis department can analyze an entrepreneur's past business experience and select the most suitable analysis method. For example, the analysis department can use AI to select a similar analysis method based on a business model that the entrepreneur has previously succeeded with. Alternatively, the analysis department can use AI to select a different analysis method based on a business model that the entrepreneur has previously failed with. For example, the analysis department can use AI to select a different analysis method based on a business model that the entrepreneur has previously failed with. Furthermore, the analysis department can comprehensively analyze an entrepreneur's past business experience and have AI select the most effective analysis method. For example, the analysis department can use AI to comprehensively analyze an entrepreneur's past business experience and select the most effective analysis method. This allows the analysis department to provide the most suitable analysis method based on the entrepreneur's past experience. Some or all of the above processes in the analysis department may be performed using AI or not. For example, the analysis department can input an entrepreneur's past business experience into AI, which can then select the most suitable analysis method.

[0040] The analysis department can filter ideas and visions based on the entrepreneur's current market and competitive landscape. For example, the analysis department can use AI to evaluate the marketability of an idea based on current market trends. The analysis department can also use AI to evaluate the competitiveness of an idea based on the actions of competitors. The analysis department can also use AI to evaluate the competitiveness of an idea based on the balance of supply and demand in the market. This allows the analysis department to provide analysis based on the current market and competitive landscape. Some or all of the above processes in the analysis department may be performed using AI, or not. For example, the analysis department can input the entrepreneur's current market and competitive landscape into the AI, which can then perform filtering.

[0041] The analysis department can prioritize the analysis of highly relevant information based on the entrepreneur's geographical location when analyzing ideas and visions. For example, the analysis department can prioritize the analysis of region-specific market information based on the entrepreneur's location. For example, the analysis department can use AI to prioritize the analysis of region-specific market information based on the entrepreneur's location. The analysis department can also prioritize the analysis of information on local competitors based on the entrepreneur's location. For example, the analysis department can use AI to prioritize the analysis of information on local competitors based on the entrepreneur's location. The analysis department can also prioritize the analysis of local consumer trends based on the entrepreneur's location. For example, the analysis department can use AI to prioritize the analysis of local consumer trends based on the entrepreneur's location. This allows for the provision of highly relevant information based on geographical location. Some or all of the above processing in the analysis department may be performed using AI, or not. For example, the analysis department can input the entrepreneur's geographical location information into AI, which can then prioritize the analysis of highly relevant information.

[0042] The analysis department can analyze an entrepreneur's social media activity and obtain relevant information when analyzing ideas and visions. For example, the analysis department can analyze an entrepreneur's social media posts to understand trends and interests. For example, the analysis department can use AI to analyze an entrepreneur's social media posts to understand trends and interests. The analysis department can also analyze the reactions of an entrepreneur's followers to evaluate the marketability of an idea. For example, the analysis department can use AI to analyze the reactions of an entrepreneur's followers to evaluate the marketability of an idea. The analysis department can also analyze an entrepreneur's social media network to identify potential collaborating partners. For example, the analysis department can use AI to analyze an entrepreneur's social media network to identify potential collaborating partners. This allows the analysis department to provide relevant information based on social media activity. Some or all of the above processes in the analysis department may be performed using AI, or not. For example, the analysis department can input an entrepreneur's social media activity into AI, which can then obtain relevant information.

[0043] The service provider can analyze the entrepreneur's past skill set and legal procedures at the time of service delivery and select the optimal delivery method. For example, the service provider can use AI to provide relevant new skills based on the skills the entrepreneur has acquired in the past. The service provider can also use AI to suggest efficient procedures based on the legal procedures the entrepreneur has previously undergone. The service provider can also use AI to suggest efficient procedures based on the legal procedures the entrepreneur has previously undergone. The service provider can also comprehensively analyze the entrepreneur's past skill set and have AI select the most effective delivery method. For example, the service provider can use AI to comprehensively analyze the entrepreneur's past skill set and select the most effective delivery method. This allows the service provider to provide the optimal delivery method based on past skill set and legal procedures. Some or all of the above processing in the service provider may be performed using AI, or not using AI. For example, the service provider can input the entrepreneur's past skill set and legal procedures into AI, and the AI ​​can select the optimal delivery method.

[0044] The service provider can filter information based on the entrepreneur's current business situation and areas of interest at the time of delivery. For example, the service provider can use AI to provide relevant skills and procedures based on the entrepreneur's current business situation. The service provider can also use AI to provide relevant skills and procedures based on the entrepreneur's areas of interest. For example, the service provider can use AI to provide relevant skills and procedures based on the entrepreneur's areas of interest. The service provider can also comprehensively analyze the entrepreneur's business situation and areas of interest and have the AI ​​provide the most relevant skills and procedures. For example, the service provider can use AI to comprehensively analyze the entrepreneur's business situation and areas of interest and have the AI ​​provide the most relevant skills and procedures. This allows the service provider to provide skills and procedures based on the current business situation and areas of interest. Some or all of the above processing in the service provider may be performed using AI, or not using AI. For example, the service provider can input the entrepreneur's current business situation and areas of interest into the AI, and the AI ​​can perform filtering.

[0045] The service provider can prioritize providing highly relevant skills and procedures based on the entrepreneur's geographical location information at the time of provision. For example, the service provider can prioritize providing region-specific skills and procedures based on the entrepreneur's location. For example, the service provider can use AI to prioritize providing region-specific skills and procedures based on the entrepreneur's location. The service provider can also prioritize providing regional legal procedures based on the entrepreneur's location. For example, the service provider can use AI to prioritize providing regional legal procedures based on the entrepreneur's location. The service provider can also prioritize providing skills and procedures that are appropriate for the regional business environment based on the entrepreneur's location. For example, the service provider can use AI to prioritize providing skills and procedures that are appropriate for the regional business environment based on the entrepreneur's location. This allows for the provision of highly relevant skills and procedures based on geographical location information. Some or all of the above processing in the service provider may be performed using AI, for example, or without AI. For example, the service provider can input the entrepreneur's geographical location information into AI, and the AI ​​can prioritize providing highly relevant skills and procedures.

[0046] The service provider can analyze an entrepreneur's social media activity and provide relevant skills and procedures at the time of service provision. For example, the service provider can analyze an entrepreneur's social media posts and provide skills and procedures based on trends and interests. For example, the service provider can use AI to analyze an entrepreneur's social media posts and provide skills and procedures based on trends and interests. The service provider can also analyze the reactions of an entrepreneur's followers and provide skills and procedures in high demand. For example, the service provider can use AI to analyze the reactions of an entrepreneur's followers and provide skills and procedures in high demand. The service provider can also analyze an entrepreneur's social media network and provide skills and procedures based on potential partnerships. For example, the service provider can use AI to analyze an entrepreneur's social media network and provide skills and procedures based on potential partnerships. This allows the service provider to provide relevant skills and procedures based on social media activity. Some or all of the above processing in the service provider may be performed using AI, for example, or not using AI. For example, the service provider can input an entrepreneur's social media activity into AI, and the AI ​​can provide relevant skills and procedures.

[0047] The planning department can analyze an entrepreneur's past business plans and select the optimal planning method when creating a plan. For example, the planning department can use AI to select a similar planning method based on the entrepreneur's past successful business plans. The planning department can also use AI to select a different planning method based on the entrepreneur's past unsuccessful business plans. The planning department can also use AI to select a different planning method based on the entrepreneur's past unsuccessful business plans. The planning department can also use AI to comprehensively analyze an entrepreneur's past business plans and select the most effective planning method. This allows the planning department to provide the optimal planning method based on past business plans. Some or all of the above processes in the planning department may be performed using AI, or not. For example, the planning department can input an entrepreneur's past business plans into AI, and the AI ​​can select the optimal planning method.

[0048] The planning department can filter business plans based on the entrepreneur's current market and competitive landscape during the planning process. For example, the planning department can use AI to evaluate the marketability of business plans based on current market trends. The planning department can also use AI to evaluate the competitiveness of business plans based on the actions of competitors. The planning department can also use AI to evaluate the competitiveness of business plans based on the balance of market supply and demand. This allows the planning department to provide business plans that are based on the current market and competitive landscape. Some or all of the above processes in the planning department may be performed using AI, or not. For example, the planning department can input the entrepreneur's current market and competitive landscape into the AI, which can then perform the filtering.

[0049] The planning department can prioritize creating highly relevant business domains and plans based on the entrepreneur's geographical location information when creating plans. For example, the planning department can prioritize creating region-specific business domains and plans based on the entrepreneur's location. For example, the planning department can use AI to prioritize creating region-specific business domains and plans based on the entrepreneur's location. The planning department can also prioritize creating business domains and plans that are suitable for the local market conditions based on the entrepreneur's location. For example, the planning department can use AI to prioritize creating business domains and plans that are suitable for the local market conditions based on the entrepreneur's location. The planning department can also prioritize creating business domains and plans that take into account the local competitive landscape based on the entrepreneur's location. For example, the planning department can use AI to prioritize creating business domains and plans that take into account the local competitive landscape based on the entrepreneur's location. This allows for the provision of highly relevant business domains and plans based on geographical location information. Some or all of the above processing in the planning department may be performed using AI, for example, or without AI. For example, the planning department can input entrepreneurs' geographical location information into the AI, which can then prioritize creating business domains and plans that are highly relevant.

[0050] The planning department can analyze an entrepreneur's social media activity when creating a plan and generate relevant business domains and plans. For example, the planning department can analyze an entrepreneur's social media posts and generate business domains and plans based on trends and interests. For example, the planning department can use AI to analyze an entrepreneur's social media posts and generate business domains and plans based on trends and interests. The planning department can also analyze the reactions of an entrepreneur's followers and generate business domains and plans with high demand. For example, the planning department can use AI to analyze the reactions of an entrepreneur's followers and generate business domains and plans with high demand. The planning department can also analyze an entrepreneur's social media network and generate business domains and plans based on potential partnerships. For example, the planning department can use AI to analyze an entrepreneur's social media network and generate business domains and plans based on potential partnerships. This allows the planning department to provide relevant business domains and plans based on social media activity. Some or all of the above processes in the planning department may be performed using AI or not. For example, the planning department can input an entrepreneur's social media activity into AI, which can then generate relevant business domains and plans.

[0051] The Strategy Department can analyze an entrepreneur's past branding and marketing strategies when providing a strategy and select the optimal delivery method. For example, the Strategy Department can use AI to suggest similar strategies based on the entrepreneur's past successful branding strategies. The Strategy Department can also use AI to suggest different strategies based on the entrepreneur's past unsuccessful marketing strategies. The Strategy Department can also use AI to suggest different strategies based on the entrepreneur's past unsuccessful marketing strategies. The Strategy Department can also comprehensively analyze an entrepreneur's past branding and marketing strategies and have AI select the most effective delivery method. For example, the Strategy Department can use AI to comprehensively analyze an entrepreneur's past branding and marketing strategies and select the most effective delivery method. This allows for the provision of the optimal delivery method based on past branding and marketing strategies. Some or all of the above processes in the Strategy Department may be performed using AI, or not. For example, the Strategy Department can input an entrepreneur's past branding and marketing strategies into AI, and the AI ​​can select the optimal delivery method.

[0052] The Strategy Department can filter strategies based on the entrepreneur's current market and competitive landscape when providing strategies. For example, the Strategy Department can use AI to evaluate the marketability of branding strategies based on current market trends. The Strategy Department can also use AI to evaluate the competitiveness of marketing strategies based on the actions of competitors. The Strategy Department can also use AI to evaluate the feasibility of branding and marketing strategies based on the balance of market supply and demand. This allows the Strategy Department to provide branding and marketing strategies that are relevant to the current market and competitive landscape. Some or all of the above processes performed by the Strategy Department may be carried out using AI, or not. For example, the Strategy Department can input the entrepreneur's current market and competitive landscape into the AI, which can then perform the filtering.

[0053] The Strategy Department can prioritize providing highly relevant branding and marketing strategies based on the entrepreneur's geographical location when delivering strategies. For example, the Strategy Department can prioritize providing region-specific branding strategies based on the entrepreneur's location. For example, the Strategy Department can use AI to prioritize providing region-specific branding strategies based on the entrepreneur's location. The Strategy Department can also prioritize providing marketing strategies that are appropriate for the local market conditions based on the entrepreneur's location. For example, the Strategy Department can use AI to prioritize providing marketing strategies that are appropriate for the local market conditions based on the entrepreneur's location. The Strategy Department can also prioritize providing branding and marketing strategies that take into account the local competitive landscape based on the entrepreneur's location. For example, the Strategy Department can use AI to prioritize providing branding and marketing strategies that take into account the local competitive landscape based on the entrepreneur's location. This allows for the provision of highly relevant branding and marketing strategies based on geographical location information. Some or all of the above-described processes in the Strategy Department may be performed using AI, for example, or without AI. For example, the strategy department can input an entrepreneur's geographical location information into an AI, which can then prioritize providing highly relevant branding and marketing strategies.

[0054] The Strategy Department can analyze an entrepreneur's social media activities and provide relevant branding and marketing strategies when providing strategies. For example, the Strategy Department can analyze an entrepreneur's social media posts and provide branding and marketing strategies based on trends and interests. For example, the Strategy Department can use AI to analyze an entrepreneur's social media posts and provide branding and marketing strategies based on trends and interests. The Strategy Department can also analyze the reactions of an entrepreneur's followers and provide branding and marketing strategies that are in high demand. For example, the Strategy Department can use AI to analyze the reactions of an entrepreneur's followers and provide branding and marketing strategies that are in high demand. The Strategy Department can also analyze an entrepreneur's social media network and provide branding and marketing strategies based on potential partnerships. For example, the Strategy Department can use AI to analyze an entrepreneur's social media network and provide branding and marketing strategies based on potential partnerships. This allows for the provision of relevant branding and marketing strategies based on social media activities. Some or all of the above processes performed by the Strategy Department may be carried out using AI, for example, or not. For example, the Strategy Department can input an entrepreneur's social media activities into AI, which can then provide relevant branding and marketing strategies.

[0055] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0056] The service provider can analyze an entrepreneur's past business experience and provide the most suitable skills and procedures. For example, it can provide relevant skills and procedures based on a business model that the entrepreneur has previously succeeded with. It can also provide different skills and procedures based on a business model that the entrepreneur has previously failed with. Furthermore, it can comprehensively analyze an entrepreneur's past business experience and provide the most effective skills and procedures. This allows the service provider to offer the most suitable skills and procedures based on past business experience.

[0057] The analysis department can prioritize the analysis of highly relevant information based on the entrepreneur's geographical location. For example, it can prioritize the analysis of region-specific market information based on the entrepreneur's location. It can also prioritize the analysis of information on local competitors. Furthermore, it can prioritize the analysis of local consumer trends. This allows for the provision of highly relevant information based on geographical location.

[0058] The service provider can analyze entrepreneurs' social media activities and offer relevant skills and procedures. For example, they can analyze entrepreneurs' social media posts and offer skills and procedures based on trends and interests. They can also analyze follower responses and offer high-demand skills and procedures. Furthermore, they can analyze social media networks and offer skills and procedures based on potential partnerships. This allows them to provide relevant skills and procedures based on social media activities.

[0059] The planning department can analyze an entrepreneur's past business plans and select the most suitable planning method. For example, it can select a similar method based on a successful business plan the entrepreneur has had in the past. It can also select a different method based on a failed business plan. Furthermore, it can comprehensively analyze past business plans to select the most effective method. This allows the department to provide the most suitable planning method based on past business plans.

[0060] The Strategy Department can prioritize providing highly relevant branding and marketing strategies based on the entrepreneur's geographical location. For example, it can prioritize providing region-specific branding strategies based on the entrepreneur's location. It can also prioritize providing marketing strategies suited to the local market conditions. Furthermore, it can prioritize providing branding and marketing strategies that take into account the local competitive landscape. This allows for the provision of highly relevant branding and marketing strategies based on geographical location information.

[0061] The planning department can analyze entrepreneurs' social media activities and create relevant business domains and plans. For example, it can analyze entrepreneurs' social media posts and create business domains and plans based on trends and interests. It can also analyze follower responses and create business domains and plans with high demand. Furthermore, it can analyze social media networks and create business domains and plans based on potential partnerships. This allows them to provide relevant business domains and plans based on social media activity.

[0062] The following briefly describes the processing flow for example form 1.

[0063] Step 1: The analysis department analyzes the entrepreneur's ideas and vision. For example, it analyzes market potential and competitive landscape based on the ideas and vision entered by the entrepreneur. Furthermore, it can use AI to collect market data and competitive information and provide detailed analysis results. Step 2: The provisioning department provides the necessary skills and procedures based on the analysis results from the analysis department. For example, it suggests the skill sets that entrepreneurs need and the legal procedures required to start a business. Furthermore, AI can be used to clarify the skills that entrepreneurs should learn and the procedures they should follow. Step 3: The Planning Department supports the selection of business domains and the creation of business plans based on the information provided by the Providing Department. For example, it suggests which markets entrepreneurs should enter and what kind of business models they should adopt. Furthermore, it can also use AI to assist in the creation of specific business plans. Step 4: The Strategy Department provides branding and marketing strategies based on the business plan created by the Planning Department. For example, they suggest what kind of brand image the entrepreneur should build and what marketing methods should be adopted. Furthermore, they can also provide specific branding and marketing strategies using AI.

[0064] (Example of form 2) The business creation support system according to an embodiment of the present invention is a system that precisely analyzes an entrepreneur's ideas and vision and, based on that, provides the necessary skills, procedures, business domain selection, business plan creation, branding, and marketing strategies. This business creation support system uses AI to precisely analyze the entrepreneur's ideas and vision and, based on the analysis results, provides the necessary skills, procedures, business domain selection, business plan creation, branding, and marketing strategies for starting a business. As a result, entrepreneurs can execute using the optimized business plan provided by the AI ​​as a guideline. This mechanism makes it possible to promote the creation and growth of new businesses and drive bold innovation. For example, the business creation support system uses AI to precisely analyze the entrepreneur's ideas and vision. In this process, the AI ​​performs a detailed analysis based on the ideas and vision entered by the entrepreneur. For example, if the entrepreneur has a new business idea, the AI ​​analyzes its market potential and competitive situation. This allows the entrepreneur to understand how likely their idea is to succeed. Next, based on the analysis results, the AI ​​provides the necessary skills and procedures for starting a business. For example, the AI ​​suggests the skill set required by the entrepreneur and the legal procedures necessary to start a business. This allows entrepreneurs to clearly understand what they need to learn and what procedures they need to follow. Furthermore, AI supports the selection of business domains and the creation of business plans. For example, AI suggests which markets entrepreneurs should enter and what business models they should adopt. AI also assists in creating concrete business plans. This allows entrepreneurs to act with a concrete business plan. Next, AI provides branding and marketing strategies. For example, AI suggests what kind of brand image entrepreneurs should build and what marketing methods they should adopt. This enables entrepreneurs to conduct effective branding and marketing. Finally, entrepreneurs execute the optimized business plan provided by AI as a guideline. This makes it possible to create and grow new businesses and drive bold innovation.For example, an entrepreneur can develop and launch a new product based on AI suggestions, paving the way to success. This system allows for the creation of entirely new ideas, free from traditional business models, and provides powerful support for leading businesses to success. For instance, when an entrepreneur starts a business utilizing new technology, AI can analyze the market potential and competitive landscape of that technology and provide an optimal business plan, allowing the entrepreneur to proceed with confidence.

[0065] The business creation support system according to this embodiment comprises an analysis unit, a provision unit, a planning unit, and a strategy unit. The analysis unit analyzes the entrepreneur's ideas and visions. For example, the analysis unit analyzes market potential and competitive landscape based on the ideas and visions entered by the entrepreneur. For example, if the entrepreneur has a new business idea, the analysis unit can analyze its market potential and competitive landscape. The analysis unit can also use AI to analyze the entrepreneur's ideas and visions in detail. For example, the analysis unit uses AI to collect market data and competitive information and provides the analysis results. The provision unit provides the necessary skills and procedures based on the results analyzed by the analysis unit. For example, the provision unit proposes the skill set required by the entrepreneur and the legal procedures necessary to start a business. For example, the provision unit can use AI to propose the skills and procedures required by the entrepreneur. The provision unit can also use AI to clarify the skills that the entrepreneur should learn and the procedures that they should take. The planning unit supports the selection of business domains and the creation of business plans based on the information provided by the provision unit. For example, the planning unit proposes which market the entrepreneur should enter and what kind of business model they should adopt. For example, the Planning Department can use AI to suggest markets that entrepreneurs should enter and business models they should adopt. The Planning Department can also use AI to assist in creating concrete business plans. The Strategy Department provides branding and marketing strategies based on the business plans created by the Planning Department. For example, the Strategy Department suggests what kind of brand image entrepreneurs should build and what marketing methods they should adopt. For example, the Strategy Department can use AI to suggest the brand image entrepreneurs should build and the marketing methods they should adopt. Furthermore, the Strategy Department can use AI to provide concrete branding and marketing strategies. As a result, the business creation support system according to this embodiment can comprehensively support entrepreneurs in creating businesses and promote the creation and growth of new businesses.

[0066] The analytics department analyzes entrepreneurs' ideas and visions. For example, it analyzes market potential and competitive landscape based on the ideas and visions entered by entrepreneurs. Specifically, if an entrepreneur has a new business idea, the analytics department can analyze its market potential and competitive landscape in detail. For example, if an entrepreneur has devised a new product or service, the analytics department investigates which markets will accept that product or service and what kind of competitors exist. Market potential analysis evaluates the size of the target market, its growth rate, consumer needs, and trends. Competitive landscape analysis analyzes the strengths and weaknesses of major competitors, their pricing strategies, and market share. Furthermore, the analytics department can also use AI to analyze entrepreneurs' ideas and visions in detail. For example, AI automatically collects large amounts of market data and competitive information and analyzes this data using natural language processing technology. Based on past market data and competitive information, AI can predict future market trends and competitor movements. This allows entrepreneurs to understand how their ideas will be received in the market and what advantages they have over competitors. Furthermore, the analytics department can conduct technical feasibility studies and cost-benefit analyses to assess the feasibility of an entrepreneur's vision. This allows entrepreneurs to understand whether their business idea is viable and what resources are needed.

[0067] The service provider provides the necessary skills and procedures based on the analysis conducted by the analytics department. Specifically, it proposes the skill sets required by entrepreneurs and the legal procedures necessary to start a business. For example, to provide entrepreneurs with the skills and knowledge needed to launch a new business, the service provider can use AI to clarify the skills that entrepreneurs should learn and the procedures they should take. Based on the entrepreneur's business idea and vision, the AI ​​identifies the necessary skill sets and proposes appropriate training programs and educational resources. For example, if an entrepreneur needs technical skills, the AI ​​proposes online courses and workshops to learn skills such as programming, data analysis, and project management. The service provider also provides information on the legal procedures and regulations necessary to start a business. For example, it proposes legal procedures such as company registration, patent and trademark acquisition, and tax filing necessary for entrepreneurs to launch a new business. Based on the entrepreneur's business idea and vision, the AI ​​can identify the necessary legal procedures and introduce appropriate resources and experts. This allows the service provider to quickly and efficiently provide entrepreneurs with the skills and procedures necessary to launch a business, supporting their business creation. Furthermore, the service provider can continuously update the skills and procedures that entrepreneurs need, providing them with the latest information. This allows entrepreneurs to always acquire the latest skills and knowledge and prepare themselves for business success.

[0068] The Planning Department supports entrepreneurs in selecting business domains and creating business plans based on information provided by the Delivery Department. Specifically, it proposes which markets entrepreneurs should enter and what business models they should adopt. For example, when an entrepreneur is launching a new business, the Planning Department can use AI to suggest the markets they should enter and the business models they should adopt. Based on historical market data and competitor information, the AI ​​identifies the optimal market and business model and creates a concrete business plan based on that. For example, the AI ​​analyzes market growth rates, consumer needs, and competitor trends to identify the market where entrepreneurs are most likely to succeed. The AI ​​also proposes the optimal business model based on the entrepreneur's business idea and vision. For example, it selects the best model from various business models such as subscription models, freemium models, and on-demand models. Furthermore, the Planning Department can also use AI to assist in creating concrete business plans. The AI ​​automatically generates each element of the business plan (market analysis, competitor analysis, marketing strategy, financial plan, etc.) and provides it to the entrepreneur. This allows entrepreneurs to quickly and efficiently create business plans and prepare for business launch. In addition, the Planning Department can monitor the progress of the business plan and revise it as needed. This allows entrepreneurs to always have business plans based on the latest information and to take appropriate actions to ensure business success.

[0069] The Strategy Department provides branding and marketing strategies based on the business plan created by the Planning Department. Specifically, it proposes what kind of brand image entrepreneurs should build and what marketing methods they should adopt. For example, the Strategy Department can use AI to suggest the brand image entrepreneurs should build and the marketing methods they should adopt. The AI ​​analyzes consumer preferences and trends to identify the optimal brand image and marketing methods. For example, the AI ​​analyzes social media data to identify what kind of brand image consumers prefer and what marketing methods are effective. The AI ​​can also suggest the most effective marketing methods based on data from past marketing campaigns. Furthermore, the Strategy Department can also use AI to provide specific branding and marketing strategies. The AI ​​automatically generates and provides specific branding and marketing strategies, such as brand logo and slogan design, advertising campaign planning, and social media management, to entrepreneurs. This allows entrepreneurs to quickly and efficiently implement branding and marketing strategies and prepare for business success. In addition, the Strategy Department can monitor the effectiveness of marketing campaigns and revise strategies as needed. This ensures that entrepreneurs always have branding and marketing strategies based on the latest information and can take appropriate actions to achieve business success.

[0070] The service provider can propose the skill sets and legal procedures that entrepreneurs need. For example, the service provider can propose the skill sets that entrepreneurs need. For example, the service provider can use AI to propose the technical and business skills that entrepreneurs need. The service provider can also propose the legal procedures that entrepreneurs need. For example, the service provider can use AI to propose company incorporation procedures and intellectual property rights acquisition procedures. This allows entrepreneurs to clearly understand the skills and procedures they need. Some or all of the above processes in the service provider may be performed using AI, or not using AI. For example, the service provider can input the skill sets and legal procedures that entrepreneurs need into AI, and the AI ​​can propose the most suitable skill sets and procedures.

[0071] The analysis department can analyze market potential and competitive landscape based on ideas and visions entered by entrepreneurs. For example, if an entrepreneur has a new business idea, the analysis department can analyze its market potential and competitive landscape. For example, the analysis department can use AI to analyze the entrepreneur's ideas and visions in detail. The analysis department can also use AI to collect market data and competitive information and provide analysis results. This allows entrepreneurs to understand the market potential and competitiveness of their ideas. Some or all of the above-described processes in the analysis department may be performed using AI, or not. For example, the analysis department can input ideas and visions entered by entrepreneurs into AI, and the AI ​​can analyze market potential and competitive landscape.

[0072] The planning department can suggest which markets entrepreneurs should enter and what business models they should adopt. For example, the planning department can suggest markets that entrepreneurs should enter. For example, the planning department can use AI to suggest markets that entrepreneurs should enter. The planning department can also suggest business models that entrepreneurs should adopt. For example, the planning department can use AI to suggest business models that entrepreneurs should adopt. This allows entrepreneurs to act with concrete business plans. Some or all of the above processes in the planning department may be performed using AI, or not using AI. For example, the planning department can input the markets that entrepreneurs should enter and the business models they should adopt into AI, and the AI ​​can suggest the optimal markets and business models.

[0073] The Strategy Department can propose what kind of brand image an entrepreneur should build and what marketing methods they should adopt. For example, the Strategy Department can propose a brand image that an entrepreneur should build. For example, the Strategy Department can use AI to propose a brand image that an entrepreneur should build. The Strategy Department can also propose marketing methods that an entrepreneur should adopt. For example, the Strategy Department can use AI to propose marketing methods that an entrepreneur should adopt. This enables entrepreneurs to conduct effective branding and marketing. Some or all of the above processes in the Strategy Department may be performed using AI, or not using AI. For example, the Strategy Department can input the brand image that an entrepreneur should build and the marketing methods they should adopt into AI, and the AI ​​can propose the optimal brand image and marketing methods.

[0074] The Strategy Department can provide entrepreneurs with concrete action plans to develop and market new products based on AI suggestions. For example, the Strategy Department can provide entrepreneurs with action plans to develop new products. For example, the Strategy Department can use AI to provide entrepreneurs with action plans to develop new products. The Strategy Department can also provide entrepreneurs with action plans to market new products. For example, the Strategy Department can use AI to provide entrepreneurs with action plans to market new products. This allows entrepreneurs to market new products with concrete action plans. Some or all of the above processes in the Strategy Department may be performed using AI, or not. For example, the Strategy Department can input an action plan for entrepreneurs to develop and market new products into an AI, and the AI ​​can propose an optimal action plan.

[0075] The analysis unit can estimate the entrepreneur's emotions and adjust the analysis method of ideas and visions based on the estimated emotions. For example, if the entrepreneur is stressed, the analysis unit can use AI to provide concise and to-the-point analysis results. For example, the analysis unit can use AI to provide concise and to-the-point analysis results when the entrepreneur is stressed. The analysis unit can also use AI to provide detailed analysis results and present in-depth information when the entrepreneur is relaxed. For example, the analysis unit can use AI to provide detailed analysis results and present in-depth information when the entrepreneur is relaxed. The analysis unit can also use AI to present analysis results using visually appealing graphs and charts when the entrepreneur is excited. For example, the analysis unit can use AI to present analysis results using visually appealing graphs and charts when the entrepreneur is excited. This allows for the provision of analysis methods tailored to the entrepreneur's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above-described processes in the analysis department may be performed using AI, for example, or without AI. For example, the analysis department can input entrepreneur's emotional data into AI, which can then adjust the analysis method based on the emotions.

[0076] The analysis department can analyze an entrepreneur's past business experience and select the most suitable analysis method. For example, the analysis department can use AI to select a similar analysis method based on a business model that the entrepreneur has previously succeeded with. Alternatively, the analysis department can use AI to select a different analysis method based on a business model that the entrepreneur has previously failed with. For example, the analysis department can use AI to select a different analysis method based on a business model that the entrepreneur has previously failed with. Furthermore, the analysis department can comprehensively analyze an entrepreneur's past business experience and have AI select the most effective analysis method. For example, the analysis department can use AI to comprehensively analyze an entrepreneur's past business experience and select the most effective analysis method. This allows the analysis department to provide the most suitable analysis method based on the entrepreneur's past experience. Some or all of the above processes in the analysis department may be performed using AI or not. For example, the analysis department can input an entrepreneur's past business experience into AI, which can then select the most suitable analysis method.

[0077] The analysis department can filter ideas and visions based on the entrepreneur's current market and competitive landscape. For example, the analysis department can use AI to evaluate the marketability of an idea based on current market trends. The analysis department can also use AI to evaluate the competitiveness of an idea based on the actions of competitors. The analysis department can also use AI to evaluate the competitiveness of an idea based on the balance of supply and demand in the market. This allows the analysis department to provide analysis based on the current market and competitive landscape. Some or all of the above processes in the analysis department may be performed using AI, or not. For example, the analysis department can input the entrepreneur's current market and competitive landscape into the AI, which can then perform filtering.

[0078] The analysis unit can estimate the entrepreneur's emotions and prioritize the analysis results based on the estimated emotions. For example, if the entrepreneur is anxious, the AI ​​can prioritize presenting the most important analysis results. The analysis unit can also use AI to prioritize presenting the most important analysis results when the entrepreneur is anxious. If the entrepreneur is relaxed, the AI ​​can sequentially present detailed analysis results. The analysis unit can also use AI to sequentially present detailed analysis results when the entrepreneur is relaxed. If the entrepreneur is feeling anxious, the AI ​​can prioritize presenting analysis results that provide reassurance. The analysis unit can use AI to prioritize presenting analysis results that provide reassurance when the entrepreneur is feeling anxious. This allows for the provision of analysis results with priorities tailored to the entrepreneur's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the analysis department may be performed using AI, for example, or without AI. For example, the analysis department can input entrepreneurs' emotional data into AI, which can then prioritize the analysis results based on those emotions.

[0079] The analysis department can prioritize the analysis of highly relevant information based on the entrepreneur's geographical location when analyzing ideas and visions. For example, the analysis department can prioritize the analysis of region-specific market information based on the entrepreneur's location. For example, the analysis department can use AI to prioritize the analysis of region-specific market information based on the entrepreneur's location. The analysis department can also prioritize the analysis of information on local competitors based on the entrepreneur's location. For example, the analysis department can use AI to prioritize the analysis of information on local competitors based on the entrepreneur's location. The analysis department can also prioritize the analysis of local consumer trends based on the entrepreneur's location. For example, the analysis department can use AI to prioritize the analysis of local consumer trends based on the entrepreneur's location. This allows for the provision of highly relevant information based on geographical location. Some or all of the above processing in the analysis department may be performed using AI, or not. For example, the analysis department can input the entrepreneur's geographical location information into AI, which can then prioritize the analysis of highly relevant information.

[0080] The analysis department can analyze an entrepreneur's social media activity and obtain relevant information when analyzing ideas and visions. For example, the analysis department can analyze an entrepreneur's social media posts to understand trends and interests. For example, the analysis department can use AI to analyze an entrepreneur's social media posts to understand trends and interests. The analysis department can also analyze the reactions of an entrepreneur's followers to evaluate the marketability of an idea. For example, the analysis department can use AI to analyze the reactions of an entrepreneur's followers to evaluate the marketability of an idea. The analysis department can also analyze an entrepreneur's social media network to identify potential collaborating partners. For example, the analysis department can use AI to analyze an entrepreneur's social media network to identify potential collaborating partners. This allows the analysis department to provide relevant information based on social media activity. Some or all of the above processes in the analysis department may be performed using AI, or not. For example, the analysis department can input an entrepreneur's social media activity into AI, which can then obtain relevant information.

[0081] The service provider can estimate the entrepreneur's emotions and adjust the content of the skills and procedures offered based on the estimated emotions. For example, if the entrepreneur is feeling anxious, the AI ​​can prioritize providing basic skills and procedures. For example, the service provider can use AI to prioritize providing basic skills and procedures when the entrepreneur is feeling anxious. The service provider can also use AI to provide advanced skills and procedures when the entrepreneur is feeling confident. For example, the service provider can use AI to provide advanced skills and procedures when the entrepreneur is feeling confident. The service provider can also use AI to suggest new skills and procedures when the entrepreneur is feeling excited. For example, the service provider can use AI to suggest new skills and procedures when the entrepreneur is feeling excited. This allows the service provider to offer skills and procedures that are tailored to the entrepreneur's emotions. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or a generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the service provider may be performed using AI, for example, or without AI. For example, the service provider can input entrepreneurs' emotional data into the AI, which can then adjust the skills and procedures it provides based on those emotions.

[0082] The service provider can analyze the entrepreneur's past skill set and legal procedures at the time of service delivery and select the optimal delivery method. For example, the service provider can use AI to provide relevant new skills based on the skills the entrepreneur has acquired in the past. The service provider can also use AI to suggest efficient procedures based on the legal procedures the entrepreneur has previously undergone. The service provider can also use AI to suggest efficient procedures based on the legal procedures the entrepreneur has previously undergone. The service provider can also comprehensively analyze the entrepreneur's past skill set and have AI select the most effective delivery method. For example, the service provider can use AI to comprehensively analyze the entrepreneur's past skill set and select the most effective delivery method. This allows the service provider to provide the optimal delivery method based on past skill set and legal procedures. Some or all of the above processing in the service provider may be performed using AI, or not using AI. For example, the service provider can input the entrepreneur's past skill set and legal procedures into AI, and the AI ​​can select the optimal delivery method.

[0083] The service provider can filter information based on the entrepreneur's current business situation and areas of interest at the time of delivery. For example, the service provider can use AI to provide relevant skills and procedures based on the entrepreneur's current business situation. The service provider can also use AI to provide relevant skills and procedures based on the entrepreneur's areas of interest. For example, the service provider can use AI to provide relevant skills and procedures based on the entrepreneur's areas of interest. The service provider can also comprehensively analyze the entrepreneur's business situation and areas of interest and have the AI ​​provide the most relevant skills and procedures. For example, the service provider can use AI to comprehensively analyze the entrepreneur's business situation and areas of interest and have the AI ​​provide the most relevant skills and procedures. This allows the service provider to provide skills and procedures based on the current business situation and areas of interest. Some or all of the above processing in the service provider may be performed using AI, or not using AI. For example, the service provider can input the entrepreneur's current business situation and areas of interest into the AI, and the AI ​​can perform filtering.

[0084] The service provider can estimate the entrepreneur's emotions and prioritize the skills and procedures to be provided based on the estimated emotions. For example, if the entrepreneur is anxious, the AI ​​can prioritize providing the most important skills and procedures. For example, the service provider can use AI to prioritize providing the most important skills and procedures when the entrepreneur is anxious. Also, if the entrepreneur is relaxed, the AI ​​can sequentially provide detailed skills and procedures. For example, the service provider can use AI to sequentially provide detailed skills and procedures when the entrepreneur is relaxed. Also, if the entrepreneur is feeling anxious, the AI ​​can prioritize providing skills and procedures that provide a sense of security. For example, the service provider can use AI to prioritize providing skills and procedures that provide a sense of security when the entrepreneur is feeling anxious. This allows for the provision of skills and procedures with priorities that correspond to the entrepreneur's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the processing described above in the service delivery unit may be performed using AI, for example, or without AI. For example, the service delivery unit can input entrepreneur's emotional data into AI, which can then determine the priority of skills and procedures to provide based on those emotions.

[0085] The service provider can prioritize providing highly relevant skills and procedures based on the entrepreneur's geographical location information at the time of provision. For example, the service provider can prioritize providing region-specific skills and procedures based on the entrepreneur's location. For example, the service provider can use AI to prioritize providing region-specific skills and procedures based on the entrepreneur's location. The service provider can also prioritize providing regional legal procedures based on the entrepreneur's location. For example, the service provider can use AI to prioritize providing regional legal procedures based on the entrepreneur's location. The service provider can also prioritize providing skills and procedures that are appropriate for the regional business environment based on the entrepreneur's location. For example, the service provider can use AI to prioritize providing skills and procedures that are appropriate for the regional business environment based on the entrepreneur's location. This allows for the provision of highly relevant skills and procedures based on geographical location information. Some or all of the above processing in the service provider may be performed using AI, for example, or without AI. For example, the service provider can input the entrepreneur's geographical location information into AI, and the AI ​​can prioritize providing highly relevant skills and procedures.

[0086] The service provider can analyze an entrepreneur's social media activity and provide relevant skills and procedures at the time of service provision. For example, the service provider can analyze an entrepreneur's social media posts and provide skills and procedures based on trends and interests. For example, the service provider can use AI to analyze an entrepreneur's social media posts and provide skills and procedures based on trends and interests. The service provider can also analyze the reactions of an entrepreneur's followers and provide skills and procedures in high demand. For example, the service provider can use AI to analyze the reactions of an entrepreneur's followers and provide skills and procedures in high demand. The service provider can also analyze an entrepreneur's social media network and provide skills and procedures based on potential partnerships. For example, the service provider can use AI to analyze an entrepreneur's social media network and provide skills and procedures based on potential partnerships. This allows the service provider to provide relevant skills and procedures based on social media activity. Some or all of the above processing in the service provider may be performed using AI, for example, or not using AI. For example, the service provider can input an entrepreneur's social media activity into AI, and the AI ​​can provide relevant skills and procedures.

[0087] The planning department can estimate the entrepreneur's emotions and adjust the selection of business domains and the creation of business plans based on the estimated emotions. For example, if the entrepreneur is feeling anxious, the planning department can use AI to suggest low-risk business domains. For example, if the entrepreneur is feeling anxious, the planning department can use AI to suggest low-risk business domains. For example, if the entrepreneur is feeling confident, the planning department can use AI to suggest challenging business domains. For example, if the entrepreneur is feeling confident, the planning department can use AI to suggest challenging business domains. For example, if the entrepreneur is feeling excited, the planning department can use AI to suggest innovative business domains. For example, if the entrepreneur is feeling excited, the planning department can use AI to suggest innovative business domains. This allows for the selection of business domains and the creation of business plans that are tailored to the entrepreneur's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the processes described above in the planning department may be performed using AI, for example, or not using AI. For example, the planning department can input entrepreneur's emotional data into AI, which can then adjust the selection of business domains and the creation of business plans based on those emotions.

[0088] The planning department can analyze an entrepreneur's past business plans and select the optimal planning method when creating a plan. For example, the planning department can use AI to select a similar planning method based on the entrepreneur's past successful business plans. The planning department can also use AI to select a different planning method based on the entrepreneur's past unsuccessful business plans. The planning department can also use AI to select a different planning method based on the entrepreneur's past unsuccessful business plans. The planning department can also use AI to comprehensively analyze an entrepreneur's past business plans and select the most effective planning method. This allows the planning department to provide the optimal planning method based on past business plans. Some or all of the above processes in the planning department may be performed using AI, or not. For example, the planning department can input an entrepreneur's past business plans into AI, and the AI ​​can select the optimal planning method.

[0089] The planning department can filter business plans based on the entrepreneur's current market and competitive landscape during the planning process. For example, the planning department can use AI to evaluate the marketability of business plans based on current market trends. The planning department can also use AI to evaluate the competitiveness of business plans based on the actions of competitors. The planning department can also use AI to evaluate the competitiveness of business plans based on the balance of market supply and demand. This allows the planning department to provide business plans that are based on the current market and competitive landscape. Some or all of the above processes in the planning department may be performed using AI, or not. For example, the planning department can input the entrepreneur's current market and competitive landscape into the AI, which can then perform the filtering.

[0090] The planning department can estimate the entrepreneur's emotions and, based on the estimated emotions, determine the selection of business domains and the prioritization of business plans. For example, if the entrepreneur is anxious, the planning department can use AI to prioritize suggesting the most important business domains and plans. The planning department can also use AI to prioritize suggesting the most important business domains and plans when the entrepreneur is relaxed. For example, if the entrepreneur is relaxed, the planning department can use AI to sequentially suggest detailed business domains and plans. The planning department can also use AI to prioritize suggesting business domains and plans that provide a sense of security when the entrepreneur is feeling anxious. For example, if the entrepreneur is feeling anxious, the planning department can use AI to prioritize suggesting business domains and plans that provide a sense of security when the entrepreneur is feeling anxious. This allows for the provision of business domains and plans with priorities tailored to the entrepreneur's emotions. Emotion estimation is achieved using emotion estimation functions, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the processes described above in the planning department may be performed using AI, for example, or not using AI. For example, the planning department can input entrepreneur's emotional data into an AI, which can then determine the selection of a business domain and the prioritization of business plans based on those emotions.

[0091] The planning department can prioritize creating highly relevant business domains and plans based on the entrepreneur's geographical location information when creating plans. For example, the planning department can prioritize creating region-specific business domains and plans based on the entrepreneur's location. For example, the planning department can use AI to prioritize creating region-specific business domains and plans based on the entrepreneur's location. The planning department can also prioritize creating business domains and plans that are suitable for the local market conditions based on the entrepreneur's location. For example, the planning department can use AI to prioritize creating business domains and plans that are suitable for the local market conditions based on the entrepreneur's location. The planning department can also prioritize creating business domains and plans that take into account the local competitive landscape based on the entrepreneur's location. For example, the planning department can use AI to prioritize creating business domains and plans that take into account the local competitive landscape based on the entrepreneur's location. This allows for the provision of highly relevant business domains and plans based on geographical location information. Some or all of the above processing in the planning department may be performed using AI, for example, or without AI. For example, the planning department can input entrepreneurs' geographical location information into the AI, which can then prioritize creating business domains and plans that are highly relevant.

[0092] The planning department can analyze an entrepreneur's social media activity when creating a plan and generate relevant business domains and plans. For example, the planning department can analyze an entrepreneur's social media posts and generate business domains and plans based on trends and interests. For example, the planning department can use AI to analyze an entrepreneur's social media posts and generate business domains and plans based on trends and interests. The planning department can also analyze the reactions of an entrepreneur's followers and generate business domains and plans with high demand. For example, the planning department can use AI to analyze the reactions of an entrepreneur's followers and generate business domains and plans with high demand. The planning department can also analyze an entrepreneur's social media network and generate business domains and plans based on potential partnerships. For example, the planning department can use AI to analyze an entrepreneur's social media network and generate business domains and plans based on potential partnerships. This allows the planning department to provide relevant business domains and plans based on social media activity. Some or all of the above processes in the planning department may be performed using AI or not. For example, the planning department can input an entrepreneur's social media activity into AI, which can then generate relevant business domains and plans.

[0093] The Strategy Department can estimate the emotions of entrepreneurs and adjust the way branding and marketing strategies are delivered based on those estimated emotions. For example, if an entrepreneur is feeling anxious, the Strategy Department can use AI to suggest a low-risk branding strategy. For example, the Strategy Department can use AI to suggest a low-risk branding strategy when an entrepreneur is feeling anxious. The Strategy Department can also use AI to suggest a challenging marketing strategy when an entrepreneur is feeling confident. For example, the Strategy Department can use AI to suggest a challenging marketing strategy when an entrepreneur is feeling confident. The Strategy Department can also use AI to suggest an innovative branding strategy when an entrepreneur is feeling excited. For example, the Strategy Department can use AI to suggest an innovative branding strategy when an entrepreneur is feeling excited. This allows for the provision of branding and marketing strategies tailored to the emotions of entrepreneurs. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the processes described above in the Strategy Department may be performed using AI, for example, or not using AI. For example, the Strategy Department could input entrepreneur's emotional data into AI, which could then adjust how branding and marketing strategies are delivered based on those emotions.

[0094] The Strategy Department can analyze an entrepreneur's past branding and marketing strategies when providing a strategy and select the optimal delivery method. For example, the Strategy Department can use AI to suggest similar strategies based on the entrepreneur's past successful branding strategies. The Strategy Department can also use AI to suggest different strategies based on the entrepreneur's past unsuccessful marketing strategies. The Strategy Department can also use AI to suggest different strategies based on the entrepreneur's past unsuccessful marketing strategies. The Strategy Department can also comprehensively analyze an entrepreneur's past branding and marketing strategies and have AI select the most effective delivery method. For example, the Strategy Department can use AI to comprehensively analyze an entrepreneur's past branding and marketing strategies and select the most effective delivery method. This allows for the provision of the optimal delivery method based on past branding and marketing strategies. Some or all of the above processes in the Strategy Department may be performed using AI, or not. For example, the Strategy Department can input an entrepreneur's past branding and marketing strategies into AI, and the AI ​​can select the optimal delivery method.

[0095] The Strategy Department can filter strategies based on the entrepreneur's current market and competitive landscape when providing strategies. For example, the Strategy Department can use AI to evaluate the marketability of branding strategies based on current market trends. The Strategy Department can also use AI to evaluate the competitiveness of marketing strategies based on the actions of competitors. The Strategy Department can also use AI to evaluate the feasibility of branding and marketing strategies based on the balance of market supply and demand. This allows the Strategy Department to provide branding and marketing strategies that are relevant to the current market and competitive landscape. Some or all of the above processes performed by the Strategy Department may be carried out using AI, or not. For example, the Strategy Department can input the entrepreneur's current market and competitive landscape into the AI, which can then perform the filtering.

[0096] The Strategy Department can estimate the emotions of entrepreneurs and prioritize branding and marketing strategies based on those estimated emotions. For example, if an entrepreneur is anxious, the Strategy Department can use AI to prioritize providing the most important branding and marketing strategies. The Strategy Department can also use AI to prioritize providing the most important branding and marketing strategies when an entrepreneur is anxious. For example, if an entrepreneur is relaxed, the Strategy Department can use AI to sequentially provide detailed branding and marketing strategies. The Strategy Department can also use AI to prioritize providing branding and marketing strategies that provide a sense of security when an entrepreneur is feeling anxious. For example, if an entrepreneur is feeling anxious, the Strategy Department can use AI to prioritize providing branding and marketing strategies that provide a sense of security when an entrepreneur is feeling anxious. This allows for the provision of branding and marketing strategies with priorities tailored to the entrepreneur's emotions. Emotion estimation is achieved using emotion estimation functions, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the processes described above in the strategy department may be performed using AI, or not using AI. For example, the strategy department could input entrepreneurial sentiment data into an AI, which could then determine the priorities of branding and marketing strategies based on those sentiments.

[0097] The Strategy Department can prioritize providing highly relevant branding and marketing strategies based on the entrepreneur's geographical location when delivering strategies. For example, the Strategy Department can prioritize providing region-specific branding strategies based on the entrepreneur's location. For example, the Strategy Department can use AI to prioritize providing region-specific branding strategies based on the entrepreneur's location. The Strategy Department can also prioritize providing marketing strategies that are appropriate for the local market conditions based on the entrepreneur's location. For example, the Strategy Department can use AI to prioritize providing marketing strategies that are appropriate for the local market conditions based on the entrepreneur's location. The Strategy Department can also prioritize providing branding and marketing strategies that take into account the local competitive landscape based on the entrepreneur's location. For example, the Strategy Department can use AI to prioritize providing branding and marketing strategies that take into account the local competitive landscape based on the entrepreneur's location. This allows for the provision of highly relevant branding and marketing strategies based on geographical location information. Some or all of the above-described processes in the Strategy Department may be performed using AI, for example, or without AI. For example, the strategy department can input an entrepreneur's geographical location information into an AI, which can then prioritize providing highly relevant branding and marketing strategies.

[0098] The Strategy Department can analyze an entrepreneur's social media activities and provide relevant branding and marketing strategies when providing strategies. For example, the Strategy Department can analyze an entrepreneur's social media posts and provide branding and marketing strategies based on trends and interests. For example, the Strategy Department can use AI to analyze an entrepreneur's social media posts and provide branding and marketing strategies based on trends and interests. The Strategy Department can also analyze the reactions of an entrepreneur's followers and provide branding and marketing strategies that are in high demand. For example, the Strategy Department can use AI to analyze the reactions of an entrepreneur's followers and provide branding and marketing strategies that are in high demand. The Strategy Department can also analyze an entrepreneur's social media network and provide branding and marketing strategies based on potential partnerships. For example, the Strategy Department can use AI to analyze an entrepreneur's social media network and provide branding and marketing strategies based on potential partnerships. This allows for the provision of relevant branding and marketing strategies based on social media activities. Some or all of the above processes performed by the Strategy Department may be carried out using AI, for example, or not. For example, the Strategy Department can input an entrepreneur's social media activities into AI, which can then provide relevant branding and marketing strategies.

[0099] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0100] The analysis department can estimate the entrepreneur's emotions and adjust the presentation of the analysis results based on those estimates. For example, if the entrepreneur is stressed, the analysis department can provide concise and to-the-point analysis results. If the entrepreneur is relaxed, it can provide detailed analysis results and in-depth information. Furthermore, if the entrepreneur is excited, it can present the analysis results using visually appealing graphs and charts. This allows for the presentation of analysis results tailored to the entrepreneur's emotions.

[0101] The service provider can analyze an entrepreneur's past business experience and provide the most suitable skills and procedures. For example, it can provide relevant skills and procedures based on a business model that the entrepreneur has previously succeeded with. It can also provide different skills and procedures based on a business model that the entrepreneur has previously failed with. Furthermore, it can comprehensively analyze an entrepreneur's past business experience and provide the most effective skills and procedures. This allows the service provider to offer the most suitable skills and procedures based on past business experience.

[0102] The planning department can estimate the entrepreneur's emotions and adjust the selection of business domains and the creation of business plans based on those estimated emotions. For example, if the entrepreneur is feeling anxious, a low-risk business domain can be suggested. If the entrepreneur is confident, a challenging business domain can be suggested. Furthermore, if the entrepreneur is excited, an innovative business domain can be suggested. This allows the department to provide business domain selection and business plan creation methods that are tailored to the entrepreneur's emotions.

[0103] The strategy department can estimate the entrepreneur's emotions and adjust the way branding and marketing strategies are delivered based on those estimates. For example, if the entrepreneur is feeling anxious, a low-risk branding strategy can be proposed. If the entrepreneur is confident, a challenging marketing strategy can be proposed. Furthermore, if the entrepreneur is excited, an innovative branding strategy can be proposed. This allows for the delivery of branding and marketing strategies that are tailored to the entrepreneur's emotions.

[0104] The service provider can estimate the entrepreneur's emotions and prioritize the skills and procedures to be provided based on those estimates. For example, if the entrepreneur is anxious, the most important skills and procedures can be provided first. If the entrepreneur is relaxed, detailed skills and procedures can be provided sequentially. Furthermore, if the entrepreneur is feeling anxious, skills and procedures that provide reassurance can be provided first. This allows for the provision of skills and procedures in a priority order that aligns with the entrepreneur's emotions.

[0105] The analysis department can prioritize the analysis of highly relevant information based on the entrepreneur's geographical location. For example, it can prioritize the analysis of region-specific market information based on the entrepreneur's location. It can also prioritize the analysis of information on local competitors. Furthermore, it can prioritize the analysis of local consumer trends. This allows for the provision of highly relevant information based on geographical location.

[0106] The service provider can analyze entrepreneurs' social media activities and offer relevant skills and procedures. For example, they can analyze entrepreneurs' social media posts and offer skills and procedures based on trends and interests. They can also analyze follower responses and offer high-demand skills and procedures. Furthermore, they can analyze social media networks and offer skills and procedures based on potential partnerships. This allows them to provide relevant skills and procedures based on social media activities.

[0107] The planning department can analyze an entrepreneur's past business plans and select the most suitable planning method. For example, it can select a similar method based on a successful business plan the entrepreneur has had in the past. It can also select a different method based on a failed business plan. Furthermore, it can comprehensively analyze past business plans to select the most effective method. This allows the department to provide the most suitable planning method based on past business plans.

[0108] The Strategy Department can prioritize providing highly relevant branding and marketing strategies based on the entrepreneur's geographical location. For example, it can prioritize providing region-specific branding strategies based on the entrepreneur's location. It can also prioritize providing marketing strategies suited to the local market conditions. Furthermore, it can prioritize providing branding and marketing strategies that take into account the local competitive landscape. This allows for the provision of highly relevant branding and marketing strategies based on geographical location information.

[0109] The planning department can analyze entrepreneurs' social media activities and create relevant business domains and plans. For example, it can analyze entrepreneurs' social media posts and create business domains and plans based on trends and interests. It can also analyze follower responses and create business domains and plans with high demand. Furthermore, it can analyze social media networks and create business domains and plans based on potential partnerships. This allows them to provide relevant business domains and plans based on social media activity.

[0110] The following briefly describes the processing flow for example form 2.

[0111] Step 1: The analysis department analyzes the entrepreneur's ideas and vision. For example, it analyzes market potential and competitive landscape based on the ideas and vision entered by the entrepreneur. Furthermore, it can use AI to collect market data and competitive information and provide detailed analysis results. Step 2: The provisioning department provides the necessary skills and procedures based on the analysis results from the analysis department. For example, it suggests the skill sets that entrepreneurs need and the legal procedures required to start a business. Furthermore, AI can be used to clarify the skills that entrepreneurs should learn and the procedures they should follow. Step 3: The Planning Department supports the selection of business domains and the creation of business plans based on the information provided by the Providing Department. For example, it suggests which markets entrepreneurs should enter and what kind of business models they should adopt. Furthermore, it can also use AI to assist in the creation of specific business plans. Step 4: The Strategy Department provides branding and marketing strategies based on the business plan created by the Planning Department. For example, they suggest what kind of brand image the entrepreneur should build and what marketing methods should be adopted. Furthermore, they can also provide specific branding and marketing strategies using AI.

[0112] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0113] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0114] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0115] Each of the multiple elements described above, including the analysis unit, provision unit, planning unit, and strategy unit, is implemented by, for example, at least one of the smart device 14 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the smart device 14 and analyzes the ideas and visions entered by the entrepreneur. The provision unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and proposes the necessary skills and procedures. The planning unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports the selection of business domains and the creation of business plans. The strategy unit is implemented by, for example, the control unit 46A of the smart device 14 and provides branding and marketing strategies. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be changed in various ways.

[0116] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0117] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0118] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0119] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0120] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0121] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0122] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0123] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0124] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0125] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0126] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0127] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0128] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0129] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0130] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0131] Each of the multiple elements described above, including the analysis unit, provision unit, planning unit, and strategy unit, is implemented by, for example, at least one of the smart glasses 214 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the smart glasses 214 and analyzes the ideas and visions entered by the entrepreneur. The provision unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and suggests the necessary skills and procedures. The planning unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports the selection of business domains and the creation of business plans. The strategy unit is implemented by, for example, the control unit 46A of the smart glasses 214 and provides branding and marketing strategies. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be changed in various ways.

[0132] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0133] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0134] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0135] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0136] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0137] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0138] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0139] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0140] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0141] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0142] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0143] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0144] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0145] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0146] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0147] Each of the multiple elements described above, including the analysis unit, provision unit, planning unit, and strategy unit, is implemented by at least one of the headset terminal 314 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the headset terminal 314 and analyzes the ideas and visions entered by the entrepreneur. The provision unit is implemented by the specific processing unit 290 of the data processing unit 12 and proposes the necessary skills and procedures. The planning unit is implemented by the specific processing unit 290 of the data processing unit 12 and supports the selection of business domains and the creation of business plans. The strategy unit is implemented by the control unit 46A of the headset terminal 314 and provides branding and marketing strategies. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be modified in various ways.

[0148] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0149] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0150] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0151] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0152] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0153] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0154] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0155] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0156] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0157] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0158] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0159] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0160] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0161] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0162] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0163] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0164] Each of the multiple elements described above, including the analysis unit, provision unit, planning unit, and strategy unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the robot 414 and analyzes the ideas and visions entered by the entrepreneur. The provision unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and proposes the necessary skills and procedures. The planning unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports the selection of business domains and the creation of business plans. The strategy unit is implemented by, for example, the control unit 46A of the robot 414 and provides branding and marketing strategies. The correspondence between each unit and the equipment or control unit is not limited to the examples described above and can be changed in various ways.

[0165] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0166] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0167] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0168] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0169] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0170] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0171] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0172] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0173] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0174] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0175] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0176] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0177] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0178] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0179] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0180] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0181] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0182] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0183] (Note 1) The analysis department analyzes entrepreneurs' ideas and visions, Based on the results of the analysis conducted by the aforementioned analysis unit, the provision unit provides the necessary skills and procedures. Based on the information provided by the aforementioned provisioning department, the planning department supports the selection of business domains and the creation of business plans. The system comprises a Strategy Department that provides branding and marketing strategies based on the business plan created by the Planning Department. A system characterized by the following features. (Note 2) The aforementioned supply unit is, We propose the skill sets and legal procedures that entrepreneurs need. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned analysis unit is The system analyzes market potential and competitive landscape based on the ideas and visions entered by entrepreneurs. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned planning department, This book proposes which markets entrepreneurs should enter and what business models they should adopt. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned Strategy Department, This book proposes what kind of brand image entrepreneurs should build and what kind of marketing methods they should adopt. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned Strategy Department, We provide entrepreneurs with concrete action plans to develop and bring to market new products based on AI suggestions. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned analysis unit is We estimate the entrepreneur's emotions and adjust the analysis method of ideas and visions based on the estimated entrepreneur's emotions. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned analysis unit is Analyze the entrepreneur's past business experience and select the most suitable analytical method. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned analysis unit is When analyzing ideas and visions, filter them based on the entrepreneur's current market situation and competitive landscape. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned analysis unit is The system estimates the entrepreneur's emotions and prioritizes the analysis results based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned analysis unit is When analyzing ideas and visions, prioritize analyzing highly relevant information based on the entrepreneur's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned analysis unit is When analyzing ideas and visions, we analyze entrepreneurs' social media activity and obtain relevant information. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned supply unit is, We estimate the entrepreneur's emotions and adjust the skills and procedures we offer based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned supply unit is, When providing services, we analyze the entrepreneur's past skill set and legal procedures to select the most suitable delivery method. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned supply unit is, When providing information, filtering is performed based on the entrepreneur's current business situation and areas of interest. The system described in Appendix 1, characterized by the features described herein. (Note 16) The aforementioned supply unit is, Estimate the entrepreneur's emotions and prioritize the skills and procedures to provide based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 17) The aforementioned supply unit is, When providing services, we prioritize offering highly relevant skills and procedures based on the entrepreneur's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 18) The aforementioned supply unit is, When providing support, we analyze the entrepreneur's social media activities and offer relevant skills and procedures. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned planning department, It estimates the sentiments of entrepreneurs and adjusts the selection of business domains and the creation of business plans based on those estimated sentiments. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned planning department, When creating a plan, we analyze the entrepreneur's past business plans and select the most suitable planning method. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned planning department, When creating a plan, filtering is performed based on the entrepreneur's current market situation and competitive landscape. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned planning department, It estimates the entrepreneur's emotions and uses those emotions to determine the selection of business domains and the prioritization of business plans. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned planning department, When creating a plan, prioritize highly relevant business domains and plans based on the entrepreneur's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned planning department, When creating a plan, analyze the entrepreneur's social media activity and develop relevant business domains and plans. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned Strategy Department, We estimate the emotions of entrepreneurs and adjust the way we deliver branding and marketing strategies based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned Strategy Department, When providing a strategy, we analyze the entrepreneur's past branding and marketing strategies to select the most suitable delivery method. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned Strategy Department, When providing strategies, filtering is performed based on the entrepreneur's current market situation and competitive landscape. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned Strategy Department, Estimate the emotions of entrepreneurs and prioritize branding and marketing strategies based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned Strategy Department, When providing strategies, we prioritize offering highly relevant branding and marketing strategies based on the entrepreneur's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned Strategy Department, When providing strategies, we analyze the entrepreneur's social media activities and offer relevant branding and marketing strategies. The system described in Appendix 1, characterized by the features described herein. [Explanation of symbols]

[0184] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. The analysis department analyzes entrepreneurs' ideas and visions, Based on the results of the analysis conducted by the aforementioned analysis unit, the provision unit provides the necessary skills and procedures. Based on the information provided by the aforementioned provisioning department, the planning department supports the selection of business domains and the creation of business plans. The system comprises a Strategy Department that provides branding and marketing strategies based on the business plan created by the Planning Department. A system characterized by the following features.

2. The aforementioned supply unit is, We propose the skill sets and legal procedures that entrepreneurs need. The system according to feature 1.

3. The aforementioned analysis unit is The system analyzes market potential and competitive landscape based on the ideas and visions entered by entrepreneurs. The system according to feature 1.

4. The aforementioned planning department, This book proposes which markets entrepreneurs should enter and what business models they should adopt. The system according to feature 1.

5. The aforementioned Strategy Department, This book proposes what kind of brand image entrepreneurs should build and what kind of marketing methods they should adopt. The system according to feature 1.

6. The aforementioned Strategy Department, This service provides entrepreneurs with concrete action plans to develop and market new products based on AI suggestions. The system according to feature 1.

7. The aforementioned analysis unit is We estimate the entrepreneur's emotions and adjust the analysis method of ideas and visions based on the estimated entrepreneur's emotions. The system according to feature 1.

8. The aforementioned analysis unit is Analyze the entrepreneur's past business experience and select the most suitable analytical method. The system according to feature 1.

Images