24 results about "Enterprise it" patented technology

This invention discloses a method and system for assessing technical consulting risks based on the internet, relating to the field of data protection technology. It involves defining an enterprise data pool and establishing connections between the enterprise data pool and both the enterprise itself and the technical consulting platform. The enterprise sends consulting data to the technical consulting platform, which then provides suggested data based on the data. The consulting data and corresponding suggested data are stored in the enterprise data pool. A tracking set is set for the enterprise data pool to statistically analyze access information, including the processing results of accessed data (removal / destruction and normal access), resulting in a risk assessment index for the technical consulting. This invention ensures the security of enterprise-related data storage and also helps identify the cybersecurity risks faced by the enterprise during technical consulting.

The application provides a method, device and equipment for big data fusion remote supervision of small and medium-sized enterprises and a storage medium. It is related to the technical field of environmental supervision. The method first acquires positive text data, extracts keywords and processes the positive index data through TF-IDF. Then, the reverse text data is acquired, and the reverse index data is obtained through text vectorization and clustering. Based on the enterprise ID association, an enterprise-index-behavior matrix is formed, key driving indicators are screened, a dynamic weight distribution model is constructed to determine the index weight, and the index is normalized to calculate the comprehensive score to determine the enterprise level, thereby assisting efficient and accurate remote enterprise supervision and providing a new technical solution for enterprise supervision.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for generating a workflow plan for completing a process. An example embodiment operates by receiving a user request from a user device in which the user request includes a natural language description of the workflow plan. The embodiment then retrieves, from a knowledge database, workflow information associated with a step of the workflow plan. The embodiment then generates a plurality of steps associated with the workflow plan. The embodiment then retrieves plan information from a storage database in which the plan information includes a sample workflow plan generated from a sample user request and the workflow information in which the workflow information is further associated with a step of the sample workflow plan. The embodiment then generates the workflow plan using a large language model (LLM) and a prompt.

The invention discloses an enterprise-level AI system and method based on a software and hardware deep fusion seven-layer integrated framework, and belongs to the technical field of artificial intelligence. The system comprises a hardware layer, a computing power layer, a reasoning layer, a middle layer, a platform layer, an application layer and a security layer from bottom to top; in combination with unified computing power scheduling, local private large model reasoning, a self-developed multi-modal document analysis engine, deep integration of an enterprise IT system and full-stack security management and control, an enterprise-level AI infrastructure integrating data, computing power, algorithm, application and security is constructed; the method has the advantages that the AI resource utilization rate is remarkably increased by 40% or above, the unstructured document analysis accuracy rate is remarkably increased by 90% or above, the AI application deployment period is shortened by 60% or above, and the requirements for privatization, safety, controllability and efficient landing of high-supervision industries such as finance, government affairs and medical treatment are met.

Various examples are provided related to identification of protected information elements associated with unique entities in data files present in data file collections associated with enterprise IT networks. The unique entities can be associated with one or more entity identifications in one or more data files. Computer-generated identification of entity identifications and protected information elements can be conducted, in part, by at least some human review. Information generated accordingly to the disclosed methodology can be used to generate plans for a time and number of human reviewers needed to review data files. Information generated from the processes herein can be configured as user notifications, reports, dashboards, machine learning for subsequent data file analyses, and notifications of unique entities having protected information elements present in one or more data files.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for multi-agent network and security operations. An example embodiment operates by determining a complexity level of the task is high based on identifying a requirement of a collaboration between a plurality of decentralized agents when executing the task. The embodiment then determines a distributable level of the task is low based on identifying a requirement of a central agent for task allocation when executing the task. The embodiment then, in response to determining the complexity level of the task being high and the distributable level of the task being low, selects a hybrid architecture as the optimal architecture associated with the task. The embodiment then assigns the task to an agent associated with the hybrid architecture. The embodiment then executes the task using the hybrid architecture.

The present subject matter relates to a system (100) and a method (300) for providing automated resolution to one or more anomalous events in an enterprise information technology (IT) environment. The system (100) integrates a processor (201) and a memory (202) that stores instructions to execute various tasks. The system (100) monitors activities within the enterprise IT environment, identifies one or more anomalous events, and correlates the identified anomalous events with one or more predefined resolution workflows. Each workflow includes specific operating instructions tailored to address the identified anomalies. Upon detecting an anomaly, the system (100) extracts the relevant operating instructions from the corresponding workflow and executes them to resolve the issue. Thus, the system (100) significantly reduces the mean time to resolve by automating the detection and resolution of anomalies, thereby improving operational efficiency and minimizing downtime in the enterprise IT environment.

The application discloses a blockchain-based double-trust on-chain and off-chain carbon emission right transaction method and system, acquires carbon emission data of an enterprise, combines the carbon emission data and carbon dioxide mass concentration as real-time carbon emission data, stores the real-time carbon emission data in a BigchainDB storage network, calculates minute, hour, day, month and year carbon emission of the enterprise according to the real-time carbon emission data and stores the carbon emission, then applies for a trusted carbon emission digital certificate, uploads the enterprise ID, enterprise name, enterprise carbon emission, enterprise trusted carbon emission digital certificate and enterprise credit value to a Fabric alliance chain transaction network, and the enterprise performs carbon emission right transaction on the alliance chain transaction network. The application uses the alliance chain technology to ensure data transparency and non-tamperability in the transaction process, and solves the technical problem that the current carbon emission right transaction system cannot guarantee the authenticity and credibility of carbon emission data.

1. The name of the design product: server power control module. 2. The use of the design product: the design product is used in the power supply frame of data center, cloud computing center and large enterprise IT infrastructure. The design product is matched with power supply unit to provide remote monitoring and management of power supply unit status, real-time power usage data and alarm function. 3. The design points of the design product: the overall shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. Other circumstances that need to be explained: A part enlarged view is an enlarged view of the A part area in the top view. B part enlarged view is an enlarged view of the B part area in the bottom view. C part enlarged view is a partial enlarged view of the C part area in perspective view 1. D part enlarged view is a partial enlarged view of the D part area in perspective view 2.

Systems and methods for buying, selling, and financing enterprise IT infrastructure capacity on a decentralized and distributed marketplace platform are disclosed. In one embodiment, the decentralized and distributed IT marketplace platform is based on the blockchain technology. In one embodiment, a blockchain-based IT marketplace platform provides a decentralized supply chain for IT assets and financial services and establishes a self-regulating and trustless marketplace of connected consumers, producers, and financiers. In one embodiment, the blockchain-based IT marketplace platform enables developing, executing, financing and monetizing modern, cloud native, enterprise compute infrastructure and software applications.

The application discloses a heterogeneous report integration method, device and medium, and the method comprises the following steps: determining an opened report standard interface, wherein the report standard interface comprises a table sample interface, a formula interface and a data interface; receiving heterogeneous report data sent by each report platform through the report standard interface, and analyzing the heterogeneous report data, so as to complete a reconciliation relationship verification; and managing the heterogeneous report data, so as to realize data classification of the heterogeneous report data based on a data warehouse concept, and obtaining enterprise internal report data sources. By combining the report technology and the data modeling, the report standard interface is formulated, the table sample format, the analysis formula and the report data are accessed, the report data of different versions and different storage structures are fused, and the control ability of the enterprise itself is improved.

The invention belongs to the technical field of enterprise IT resource operation and maintenance analysis, and discloses an IT resource maintenance influence range intelligent analysis method and system, and the method comprises the steps: retrieving a constructed IT resource RAG knowledge base according to maintenance plan information, and obtaining IT resource information related to the maintenance plan information; calling a large language model for analysis according to the IT resource information associated with the maintenance plan information to obtain an IT resource maintenance influence range; wherein the construction of the IT resource RAG knowledge base comprises the following steps: modeling IT resources to obtain an IT resource association relationship model; collecting IT resource data according to the IT resource association relationship model to obtain IT resource ledger data and IT resource association relationship data; and carrying out vectorization processing on the IT resource machine account data and the IT resource association relationship data, and constructing an IT resource RAG knowledge base. According to the invention, accurate analysis of the influence range of the IT resource maintenance plan is realized.

The invention discloses an enterprise service bus optimization method and device, electronic equipment and a program product, and relates to the technical field of service bus management. The method comprises the following steps: dividing log data of an enterprise service bus into a plurality of sub-time regions according to equal-time fine granularity of time regions; collecting operation log data and abnormal log data of each sub-time region, and calculating an operation efficiency index and an abnormal processing optimization index based on the operation log data and the abnormal log data, so as to obtain a comprehensive optimization index; and determining a control strategy by comparing the comprehensive optimization index with an optimization threshold value and an early warning threshold value. According to the technical scheme, real-time monitoring of the operation state of the enterprise service bus is achieved, the operation stability and the service adaptation capacity of the enterprise service bus are remarkably improved, the fault risk is reduced, and support is provided for efficient collaboration and service continuity of an enterprise IT architecture.

The invention discloses a business mail automatic processing method and system based on robot process automation. The method comprises the following steps: automatically analyzing a theme, a text and an attachment of a received mail through a natural language processing technology, extracting key information such as an enterprise ID (Identity), a chemical identifier and a mail type, and converting the key information into structured data; identifying task types according to the data and selecting corresponding automatic processes; a headless browser is used for simulating and logging in a third-party system, and automatic processing including attachment downloading, analysis, screenshot and multi-language translation is executed; the execution state is monitored in real time, the success rate and the average time are counted to optimize the performance, and meanwhile, various abnormities are captured and reports are generated to trigger the processing flow; and cleaning the resources after execution is finished, and generating a notification mail based on a result to send and archive. According to the scheme, full-process automation of mail processing is realized, and efficiency and accuracy are remarkably improved.

The invention relates to a method for limiting potentially unauthorized access to data from multiple IT infrastructures, particularly enterprise IT infrastructures, wherein IT systems of the IT infrastructures are examined, technical information of the examined IT systems is recorded, a signature of an IT system is generated using the recorded information, and the signature of the IT system is compared with signatures of IT systems in the other IT infrastructures. The invention further relates to a data processing system for carrying out the method according to the invention.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for generating a dashboard using a natural language command from a user device. An example embodiment operates by retrieving, from a knowledge database, dashboard information associated with an outcome in which the dashboard information includes a previous dashboard associated with the outcome. The embodiment then obtains, from a user context database, user information associated with the user device in which the user information includes a previous user preference of generating the previous dashboard. The embodiment then determines one or more available tools for generating a set of widgets associated with the dashboard. The embodiment then generates the set of widgets associated with the dashboard using the one or more available tools, a large language model (LLM), and a prompt. The embodiment then generates the dashboard using the set of widgets.

Various examples are provided related to identification of protected information elements associated with unique entities in data files present in data file collections associated with enterprise IT networks. The unique entities can be associated with one or more entity identifications in one or more data files. Computer-generated identification of entity identifications and protected information elements can be conducted, in part, by at least some human review. Information generated accordingly to the disclosed methodology can be used to generate plans for a time and number of human reviewers needed to review data files. Information generated from the processes herein can be configured as user notifications, reports, dashboards, machine learning for subsequent data file analyses, and notifications of unique entities having protected information elements present in one or more data files.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for generating a response to a user question. An example embodiment operates by querying a large language model (LLM) using a prompt associated with the user question and one or more available tools in a tool service. The embodiment then retrieves an endpoint from the tool service in which the endpoint is a digital location associated with a tool selected by the LLM. The embodiment then requests a database associated with the user question based on the endpoint meeting an endpoint requirement. The embodiment then executes a query at the database, thereby obtains data including the response to the user question. The embodiment then identifies an output format associated with the response. The embodiment then generates the response to the user question based on formatting the data using the output format.

The present subject matter relates to a system (100) and a method (300) for providing automated resolution to one or more anomalous events in an enterprise information technology (IT) environment. The system (100) integrates a processor (201) and a memory (202) that stores instructions to execute various tasks. The system (100) monitors activities within the enterprise IT environment, identifies one or more anomalous events, and correlates the identified anomalous events with one or more predefined resolution workflows. Each workflow includes specific operating instructions tailored to address the identified anomalies. Upon detecting an anomaly, the system (100) extracts the relevant operating instructions from the corresponding workflow and executes them to resolve the issue. Thus, the system (100) significantly reduces the mean time to resolve by automating the detection and resolution of anomalies, thereby improving operational efficiency and minimizing downtime in the enterprise IT environment.

A system for infrastructure dependency mapping of an enterprise IT environment includes an application cross-dependency mapping engine configured to generate a multi-tier call hierarchy that, between and within each tier, maps the IT environment across a plurality of software applications of different types via which the IT environment is implemented. The system also includes a topology manager configured to, map the multi-tier call hierarchy to infrastructure elements of the IT enterprise environment, and thereby generate an infrastructure map.

This invention relates to the field of computer software technology, specifically to a model-driven IT resource lifecycle management system and method. The method includes: hierarchically grouping resource models to build a standardized IT resource model system; creating IT resource instances based on the standardized IT resource models; managing resource instance-level relationships according to model association rules, combining manual configuration and automatic identification, and constructing two types of topology graphs; optimizing and building a full-text search engine based on MongoDB document indexes; integrating multi-dimensional data of resource instances and collecting asset performance data in real time. The system includes: a standardized construction module, a resource instance creation module, an instance association module, a permission-based search module, and a data integration and linkage monitoring module. This achieves standardized management and precise positioning of IT resources, improves operational efficiency, provides reliable data support for enterprise IT management, and reduces management costs.

This invention discloses an industrial intelligent agent system, including an intelligent decision-making platform, an equipment service bus, an application service bus, and an open service bus. The equipment service bus integrates real-time data from the production site in the OT domain; the open service bus integrates external enterprise information; and the application service bus integrates management data from the enterprise IT domain. These, along with the real-time production site data integrated by the equipment service bus and the external enterprise information integrated by the open service bus, are provided to the intelligent decision-making platform as services. The application service bus also provides a service catalog to the intelligent decision-making platform. The intelligent decision-making platform includes a core processing unit, a general-purpose model, and a local knowledge base. The core processing unit processes task requirements from input information and generates corresponding responses by calling the services provided by the general-purpose model, the local knowledge base, the application service bus, and integrated functional components. This invention can provide strong support for the intelligent transformation of the manufacturing industry.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for executing a task using an optimal architecture. An example embodiment operates by determining a complexity level of the task is high based on identifying a requirement of a collaboration between a plurality of decentralized agents when executing the task. The embodiment then determines a distributable level of the task is low based on identifying a requirement of a central agent for task allocation when executing the task. The embodiment then, in response to determining the complexity level of the task being high and the distributable level of the task being low, selects a hybrid architecture as the optimal architecture associated with the task. The embodiment then assigns the task to an agent associated with the hybrid architecture. The embodiment then executes the task using the hybrid architecture.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for multi-agent network and security operations. An example embodiment operates by determining a complexity level of the task is high based on identifying a requirement of a collaboration between a plurality of decentralized agents when executing the task. The embodiment then determines a distributable level of the task is low based on identifying a requirement of a central agent for task allocation when executing the task. The embodiment then, in response to determining the complexity level of the task being high and the distributable level of the task being low, selects a hybrid architecture as the optimal architecture associated with the task. The embodiment then assigns the task to an agent associated with the hybrid architecture. The embodiment then executes the task using the hybrid architecture.