Data analysis system

Abstract

The invention relates to an artificial intelligence-based data analysis system for translating and comparing file content. The system comprises: - a reading module configured to receive and process files in various formats; - a language conversion module configured to analyze and translate file content into simple and understandable language; - a module for comparing the converted data with that of other business entities; - a decision engine configured to receive information from the language conversion and comparison modules and to provide suggestions and strategies based on the results of the analyses performed; - a learning unit configured to undertake automated learning based on new data and new file formats, while continuously improving its performance and its ability to adapt to different business needs.Figure for the abridged version: 1.

Description

Title of the invention: Data analysis system Technical field of the invention

[0001] The present invention relates to an artificial intelligence-based data analysis system for translating and comparing the contents of files. Background of the invention

[0002] In the field of enterprise data management and analysis, there is a growing need for tools capable of processing information quickly and accurately, while efficiently translating the data into an appropriate, understandable language that facilitates comparison with other data sources. This is particularly relevant for companies and entities that need to perform comparative analyses, benchmarking, and strategic evaluations.

[0003] However, current data analysis tools often require in-depth knowledge and expertise in specific programming languages ​​and file formats, resulting in a considerable waste of time and resources. Furthermore, these tools are often inefficient at comparing data from different sources or in different formats, making comparative analysis difficult. Summary of the invention

[0004] The main object of the present invention is therefore to provide a data analysis system based on artificial intelligence capable of analyzing the content of a file, effectively translating this same content into a simple and understandable language, and comparing the data it contains with those of other commercial entities by accessing the relevant databases, which minimizes data processing times as well as the need for specialized expertise.

[0005] The objectives stated above are achieved by the present invention of an artificial intelligence-based data analysis system, as defined in claim 1. Brief description of the figures

[0006] The additional features and advantages of the present invention will become even clearer from the description of a preferred, though not exclusive, embodiment of an artificial intelligence-based data analysis system for translating and comparing the content of files, illustrated in an indicative but not limiting manner in the following accompanying figures: - [Fig.l]: general schematic representation of the system according to the invention; - [Fig.2]: General schematic and functional representation of a module linguistic translation of the system according to the invention; - [Fig. 3]: General schematic and functional representation of a module data comparison of the system according to the invention; - [Fig. 4]: General schematic and functional representation of an engine decision of the system according to the invention; - [Fig. 5]: Schematic representation of a possible embodiment and preferred for the implementation of the decision engine of the system according to the invention; - [Fig. 6]: General schematic and functional representation of a unit automatic learning of the system according to the invention.

[0007] Description of embodiments of the invention

[0008] Figure 1 illustrates a general diagram of the artificial intelligence-based data analysis system. The system includes a language translation module (Fig. 2) that analyzes the content of the files and translates them into simple and understandable language, thus enabling users to easily understand the information contained in the files.

[0009] The data comparison module ([Fig. 3]) performs the task of comparing the translated data with data from other business entities, which is made possible by access to external databases. This module allows for quick and efficient comparative analyses, benchmarking, and strategic evaluations.

[0010] The decision engine ([Fig.4]) is responsible for processing the information contained in the data translation and comparison modules, and also provides users with suggestions and strategies based on the results of the analyses performed.

[0011] Figure 5 illustrates a possible and preferred embodiment of the implementation of the decision engine, which includes advanced artificial intelligence algorithms designed to ensure the accuracy and reliability of the analyses performed.

[0012] Finally, [Fig. 6] shows a general functional diagram of a machine learning unit. This unit enables the system to undertake automated learning based on new data and file formats, while continuously improving its performance and its ability to adapt to different business needs.

[0013] With reference to the figures mentioned above, the numeral 20 is used to designate, overall, a data analysis system based on artificial intelligence (AI). The system 20 according to the invention uses artificial intelligence to analyze the content of a file, translate this same content into a simple language, and understandable, and then compare the data it contains with that of other business entities through access to databases.

[0014] System 20 uses technologies such as machine learning, deep learning, artificial intelligence and data analysis to interpret and analyze the data contained in the files and translate them into an easily understandable format.

[0015] Advantageously, in the event that the system 20 has to analyze data or file formats that it has never encountered before, the system 20 is configured so that it can learn autonomously, thereby continuously improving its performance and its ability to adapt to different business needs.

[0016] Advantageously, the system 20 is configured to operate efficiently on a wide range of file formats, such as, for example, spreadsheets, text documents, images and videos

Claims

Demands

1. - A system (20) based on artificial intelligence for analyzing business data, the system comprising: - a file reading module (Figure 1) configured to receive and process a variety of business files in different formats; - a language conversion module (Figure 2) configured to analyze and translate the content of the files into a simple and understandable language; - a data comparison module (Figure 3) configured to compare the converted data with that of other business entities; - a decision engine (Figure 4) configured to receive information from the language conversion and data comparison modules, and to provide suggestions and strategies based on the results of the analyses performed;- a machine learning unit (figure 6) configured to undertake automated learning based on new data and new file formats, while continuously improving its performance and ability to adapt to different business needs.

2. System (20) according to claim 1, characterized in that the file reading module (figure 1) is capable of processing files in a variety of formats such as PDF, Word, Excel, PowerPoint and other common file formats.

3. System (20) according to any one of the preceding claims characterized in that the language conversion module (figure 2) uses natural language processing techniques to translate the contents of the files into a simple and understandable language.

4. System (20) according to any one of the preceding claims, characterized in that the data comparison module (Figure 3) accesses external databases in order to obtain reference data for comparative analysis.

5. System (20) according to any one of the preceding claims, characterized in that the decision engine (Figure 4) uses advanced artificial intelligence algorithms to ensure the accuracy and reliability of the analyses performed

6. System (20) according to any one of the preceding claims, characterized in that the machine learning unit (Figure 6) uses machine learning and deep learning techniques to perform (automated) learning based on new data and file formats.

7. System (20) according to any one of the preceding claims, characterized in that the system is capable of continuously improving its performance and its ability to adapt to different business needs by means of continuous learning based on new data and file formats.

8. System (20) according to any one of the preceding claims, characterized in that the system provides users with suggestions and strategies based on the results of the analyses performed, thereby improving data-driven decision-making.

9. System (20) according to any one of the preceding claims characterized in that the system is configured to operate efficiently in a business environment, thus enabling accurate and understandable data analysis.

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