67 results about "Enterprise computing" patented technology

The invention relates to the technical field of computing power resource sharing in a data center application environment, and discloses an enterprise computing power layout and intelligent decision mobile application system and an implementation method thereof. And real-time monitoring and dynamic scheduling of internal or cloud computing resources of an enterprise are realized. Historical data and real-time load are processed by using machine learning and an optimization algorithm, an optimal scheduling scheme is generated, and an alarm is automatically triggered when abnormality is detected, so that efficient utilization of enterprise resources is ensured. The method has the advantages of being high in real-time performance, intelligent, flexible in expansion, safe, reliable and the like, and the operation and maintenance efficiency and decision response speed of enterprises can be remarkably improved.

An agent deployment system for adaptively managing artificial intelligence agents within an enterprise computing environment. The system can include an agent subsystem having a control agent configured to receive source data from one or more data sources of the enterprise, continuously monitor the source data for an occurrence of a trigger event indicative of a condition requiring an AI based intervention, detect the trigger event, evaluate the trigger event to identify a relevant operational context, and then based on the trigger event and the operational context, select and deploy the plurality of AI agents from a total set of AI agents to address the trigger event by performing an AI-based intervention.

A computer-implemented system and method for evaluating an AI agent associated with an enterprise computing environment by aggregating a plurality of AI agents associated with the enterprise computing environment, and evaluating, with an agent evaluation unit, a selected AI agent of the plurality of AI agents using evaluation data, wherein the evaluation data includes operational behavior data and trustworthiness data. The agent evaluation unit can be configured to determine a total agent evaluation score for the selected AI agent from a plurality of category specific evaluation scores. The agent specific categories can have associated therewith a category evaluation score and the agent specific categories can include categories associated with the operational behavior and the trustworthiness of the selected AI agent. An AI-based intervention can be applied in response to the total agent evaluation score.

The invention provides an ocean and related industry classification and identification method and system. The method comprises the following steps: S1, establishing an enterprise credit information database; s2, acquiring a standard file, and performing text preprocessing on the standard file and the manual identification sample; s3, establishing a sea-related enterprise identification model according to an artificial identification sample and the standard file; s4, identifying the to-be-identified enterprise by using the sea-related enterprise identification model to obtain a model identification sample, and calculating the identification accuracy and the extra identification ratio of each marine industry by comparing the model identification sample with the artificial identification sample; s5, adjusting the sea-related enterprise identification model, and identifying the to-be-identified enterprise by using the adjusted sea-related enterprise identification model to obtain an enterprise classification result; and S6, calculating an evaluation score of each identified marine industry for the enterprises in the enterprise classification result. The method can improve the accuracy of the recognition result, has interpretability, and can display the classification basis.

A system and method for the dynamic authentication revocation using privilege assurance of enterprise computer network environments using lateral movement detection and prevention. The system uses local session monitors to monitor logon sessions within a network, generating and verifying event logs and authentication records to ensure the legitimacy of authenticated user sessions and to revoke credentials when an illicit session is detected and further removing potentially compromised network components from the network, halting lateral movement in real-time.

An enterprise engineering and configuration system includes a common configuration database and support services stored in and executed in a compute fabric of an enterprise. The configuration database and support services use and implement a common configuration data schema to support the configuration of hardware and software in the compute fabric and at multiple different sites or physical locations of the enterprise even when different control and automation systems are used at these different sites or physical locations. The configuration system enables implementing hardware or software configuration changes to various different sites or locations of an enterprise either centrally from a configuration device connected directly to the compute fabric of the enterprise or locally from any physical location or site of the enterprise, while maintaining a single integrated enterprise configuration database that stores configuration data for each of the multiple sites of the enterprise. This configuration system is flexible as it enables engineering and configuration changes to be made by users anywhere in the enterprise for any of the sites of the enterprise and across different sites of the enterprise.

A. method of application modernization engine executed by processors. The application modernization engine provides improved application development through simulated intelligence and expanded tooling. The method includes determining, by the application modernization engine, a collection of resources to support a first functionality within an existing enterprise computer system and provide a set of outcomes. The method includes developing, by the application modernization engine, an application including the collection of resources with no-code and full-code operations. The method includes augmenting, by the application modernization engine, the application with a second functionality not present in the existing enterprise computer system. The method includes deploying, by the application modernization engine, the application into the existing enterprise computer system.

Systems and methods are provided for agentless attestation. Agentless attestation can measure the integrity of customer servers without requiring an agent software program to be downloaded to each of the enterprise computer devices. In particular, the system can integrate several standalone components to measure the integrity of monitored devices. This also allows the data center to authenticate, verify, audit, and update any hardware change, including a Platform Certificate.

Various embodiments relate generally to data science and data analysis, computer software and systems, and computing architectures and data models configured to facilitate management and performance of enterprise functions, and, more specifically, to an enterprise computing and data processing platform configured to implement applications and computerized tools configured to facilitate implementation of an enterprise data model to generate and manage component data objects representing enterprise tasks and processes, as well as portions thereof, any of which may be used to create and modify an enterprise data flow or a process flow, for example, using an enterprise computerized tool. In some examples, a method includes activating one or more applications as computerized tools to access subsets of one or more permissions, identifying an enterprise function data object to generate a third subset of permissions.

A method of application modernization engine executed by processors. The application modernization engine provides an improved contextual document processing and specific information extraction. The method includes receiving, by document intelligence sub-system of the application modernization engine, data of an enterprise computer system generated by artificial intelligence agents. The method includes processing, by the document intelligence sub-system, the data by extracting and ingesting specific contextual information to achieve document classification and feature extraction. The method includes providing, by the document intelligence sub-system, the specific contextual information, the document classification, and the feature extraction to the artificial intelligence agents to implement processes on top of the existing enterprise computer system to achieve objectives.

Embodiments of systems and methods disclosed herein provide an application development platform in an enterprise computing environment. More specifically, in certain embodiments, systems and methods are disclosed that enable an application development platform to reuse, extend, and / or customize entity-based applications in an enterprise computing environment. The application development platform can extend an entity to include user configured settings including zero or at least one of a property, a permission, an action, a behavior, or a resource to the entity to generate user customized versions of the entity. The applications may be customized by an end user, while allowing the underlying application to be updated without losing any user customizations.

A method and system for synchronizing secrets in an enterprise computing network include a secret and a representation of a directed acyclic graph (DAG) generated at a secret client vault device. The representation of the DAG having a plurality of nodes and a plurality of edges, the plurality of nodes including a record node associated with the record, a leaf node associated with a second secret vault client device, and one or more intermediate nodes and the plurality of edges specify a traversal path from the record node to the leaf node. Transmitting a data stream to the second secret vault client device that comprises multiply encrypted data generated in accordance with a traversal of the representation of DAG and representations of the encryption keys associated with the record node and the one or more intermediate nodes of the DAG traversed to generate the multiply encrypted data.

Computer-implemented systems and methods provision a virtual machine sandbox for evaluating software. Firewall means are provisioned for a cloud network to permit access to an internet site from which source code is downloadable. A client computer device, via virtualization, controls a virtual machine. The client computer device is on an on-premises network that is different from, and in communication with, the cloud network. The virtual machine is controlled to: (a) download to the virtual machine, via the firewall means, the source code from the internet site; and (b) execute the source code for evaluation of the source code. The virtual machine is deleted after a predetermined time period. The source code is prohibited, after provisioning the virtual machine and through deletion of it, from being downloaded from the virtual machine to computer devices on the on-premises network.

A system associated with an enterprise computing environment infrastructure may include a chaos testing tool data store that contains a plurality of electronic records, each record including a chaos engineering fault parameter. A computer processor of a chaos testing tool may receive, from a chaos testing user, injection information associated with an element of the enterprise computing environment infrastructure. The chaos testing tool may then access the chaos engineering fault parameter from the chaos testing tool data store and automatically arrange to inject a chaos engineering fault into operation of the element of the enterprise computing environment infrastructure in accordance with the injection information and the chaos fault parameter. A response of the element of the enterprise computing environment infrastructure may then be measured subsequent to said injection, and the system may output an indication of the measured response to the chaos testing user.

The invention relates to the crossing field of artificial intelligence and enterprise computing, in particular to an information alignment system based on an AI proxy network and a dynamic consensus mechanism, which comprises an AI proxy network module, a consensus verification system and an arbitration module, the AI proxy network module comprises one or more sites; information is transmitted between the sites through a structured communication protocol; the AI proxy network module and the consensus verification system transmit response information through a data link; the consensus verification system and the arbitration module transmit a consistency check result through a preset communication channel; the arbitration module is connected with the AI proxy network module and communicates with an external entity through a man-machine interaction interface. According to the invention, a distributed AI proxy network and a dynamic consensus mechanism are adopted, so that decentralized reliable operation is realized, and a single-point fault is avoided; conflicts are accurately detected through semantic alignment, deduction alignment and echo technologies, and the AI error rate is reduced; site roles are flexibly adjusted through modular design, multi-scene tasks are adapted, cost is reduced, efficiency is improved, and decision-making precision is improved.

Various embodiments relate generally to data science and data analysis, computer software and systems, and computing architectures and data models configured to facilitate management and performance of enterprise functions, and, more specifically, to an enterprise computing and data processing platform configured to implement applications and computerized tools configured to facilitate implementation of an enterprise data model to generate and manage component data objects representing enterprise tasks and processes, as well as portions thereof, any of which may be used to create and modify an enterprise data flow or a process flow, for example, using an enterprise computerized tool. In some examples, a method includes activating one or more applications as computerized tools to access user account and enterprise function data, identifying permissions, and filtering access to logical components as a function of, for example, persona application data generated using a persona builder application.

A system and method for monitoring and optimizing work assistant search engines implemented within secured enterprise computing systems include one or more processing devices to receive diagnostic data of a work assistant search engine from a secured enterprise computing system. The one or more processing devices may further determine, by analyzing the diagnostic data, a search quality metric value associated with the feature values and the scores. Responsive to determining that the search quality metric value differs from a target search quality metric value by a predetermined threshold value, the one or more processing devices may further determine an updated score model, and provide the updated score model to the secured enterprise computing system to update the work assistant search engine.

The invention relates to a business relation chain reaching method and system based on a relation graph. The method comprises the following steps: receiving identification information of a target enterprise; based on the identification information, collecting multi-dimensional relation data of the target enterprise; according to the multi-dimensional relation data, constructing a graph data structure with enterprises as nodes and relations between the enterprises as edges; by taking the target enterprise as a starting point, carrying out multi-level relation expansion in a graph data structure, and discovering a reachable enterprise; for a reachable enterprise, calculating a relation path from the target enterprise to the reachable enterprise; based on the calculation result of the relation path, generating an analysis result containing a relation link list, a path analysis report and a reachable enterprise relation graph; and outputting a visual result of the analysis result. The method has the effects of comprehensive integration of multi-dimensional relations, intelligent discovery of multi-level accessible resources, efficient relation path analysis, visual and interactive graph visualization and real-time dynamic updating of data.

The arrangement and composition of elements herein describe an enterprise-level cloud computing capability having a small and portable form factor. This highly capable and portable system is made possible through the combination of high-density computing elements, storage elements, networking elements, cooling elements, and power distribution elements in a single unit that result in a system able to be carried by one person. This portable system therefore affords the functionality and capability of an enterprise cloud server stack where space and / or physical infrastructure limitations prevent the utilization of traditional on-prem cloud server racks typically housed in a remote server rack farm or data center. In addition to the privacy and security benefits of an on-premises enterprise cloud capability, this also provides processing, storage, and networking mobility, as the unit can more easily and quickly be moved from location to location and without the need for server rack equipment.

Techniques are disclosed relating to a method that includes receiving, by a particular computer system included in an enterprise computer system, deployment instructions, from a user, for a particular version of a machine-learning model. One or more versions of the machine-learning model may be stored in a database. The particular computer system may select, based on the deployment instructions, a destination within the enterprise computer system for deploying the particular version. The selected destination may provide access to a particular data set. The particular computer system may schedule a deployment of the particular version from the database to the selected destination. The deployed version of the machine-learning model may operate on the particular data set. Performance data associated with operation of the deployed version of the machine-learning model is collected.

Systems and methods for securely and privately monitoring risky web activities in an enterprise computing system. A service is provided that communicates with a first client- application deployed on a user device and a second client-application deployed on an administrator device. A secure enclave is deployed by the service that ensures zero-knowledge to store sensitive user data (e.g., activity logs of risky web activity logged by the first client- application). Team-Service Logged-Out keys and Team-Enclave Logged-Out keys are deployed to the user device. When an end user associated with the user device is not logged into the service, the Team-Service Logged-Out keys and Team-Enclave Logged-Out keys are used to authenticate the logged-out end user so that an activity log can be sent to the secure enclave and stored. The activity log can be accessed by the second client-application upon authentication of the administrator using a Device-Enclave key pair associated with the administrator.

Disclosed is a system and method for automated data collaboration protection of sensitive content across an enterprise computer network. A machine learning model is trained to determine whether users are authorized to view instances of the sensitive content based on a plurality of signals. Responsive to an indication that an instance the sensitive content was shared with a user, the disclose system determines whether the user is authorized to view the instance based on the training of the machine learning model and, only when the model determines that the respective user is authorized to view the sensitive content, allows the instance of sensitive content to be shared with the user, and when the model determines that the respective user was not authorized to view the instance of sensitive content, prevents the instance from being shared with the user.

The present invention relates to a secure artificial intelligence based document management and intelligent content classification system implemented within a controlled enterprise computing environment for regulated industries. The system is configured to receive digital documents from multiple enterprise sources, normalize heterogeneous document formats into a standardized internal representation, and perform multi-dimensional content analysis to extract structural, semantic, and metadata characteristics. Adaptive artificial intelligence based classification logic is applied to determine document category, sensitivity, and regulatory relevance, followed by computational validation procedures that ensure deterministic and auditable classification outcomes. The invention further incorporates document content fingerprinting, continuous integrity monitoring, and real-time regulatory compliance evaluation to prevent unauthorized modification, misclassification, or non-compliant document handling.

A method for providing a symbiotic network orchestrator utilized to automatically commission edge computing devices on corporate computing networks and edge site computing networks is presented. The method includes receiving an indication of a potential connection of an edge computing device to one or more computing networks associated with the orchestrator. The one or more computing networks includes a corporate computing network and an edge site computing network. The method further includes determining, based on the corporate computing network, the edge site computing network, and a predetermined set of rules, an intent for commissioning the edge computing device, reconfiguring, based on the intent, the corporate computing network and the edge site computing network, and commissioning the edge computing device on one or more of the corporate computing network or the edge site computing network in accordance with the reconfiguring.

Disclosed herein are examples of systems and methods that may provide multiple virtual mobile phones for a user. For example, a back-end enterprise computer network architecture may interact with an application installed on a client device. Using the application, the user may generate multiple virtual mobile phones for different purposes, e.g., a “work” phone and a “personal” phone. The computer network architecture may further allow the user to label data to correspond to the different virtual mobile phones for an efficient storage and retrieval of the data. A back-end session manager may allow the user to seamlessly switch between the different virtual mobiles within a single client device or across multiple client devices.

Disclosed are embodiments that communicate label information for documents between two enterprise computer systems. The two computer systems operate asynchronous from each other, and have limited available resources for use in buffering information passing between them. To that end, traditional API architectures that utilize method calls and return parameters do not operate well in this environment, as a first computer systems resources can become exhausted if a second computer system is able to generate data faster than the first computer system can consume it. The problem is exacerbated if an error is experienced when processing the consumed data, especially if there are no resources available to store the data until the error can be cleared. To solve this problem, the disclosed embodiments provide an ability for a consumer to request that data previously delivered to it be delivered again by the producer, in some embodiments, after a specified time delay.

Aspects of the disclosure relate to quantum cloud computing. A computing platform may receive an event processing request from a user. The computing platform may obtain, via a first API, external consumer data corresponding to the user. The computing platform may generate, based on the external consumer data, a response code, indicating whether or not the external consumer data is authenticated. The computing platform may generate, based on the response code, response information, indicating whether or not to process the event processing request. Based on identifying that the response information indicates that the event processing request should be processed, the computing platform may send, to an enterprise computing device, one or more commands directing the enterprise computing device to process the event processing request, which may cause the enterprise computing device to process the event processing request.

The invention provides a city creative area identification method and system based on an ST-DBSCAN spatial-temporal clustering algorithm. The method comprises the steps of 1, collecting target enterprise data of a target city and performing preprocessing; 2, generating a city creative enterprise electronic map based on the enterprise address of the target enterprise; step 3, on the urban creative enterprise electronic map, performing first clustering partition on the target enterprise based on a spatial distance DBSCAN algorithm, and preliminarily identifying a DBSCAN candidate area; 4, screening target enterprise calculation indexes based on the target enterprise data, determining the weight of each calculation index of the target enterprise through an entropy evaluation method, carrying out weighted summation, and calculating the creativity of the enterprise; step 5, in the DBSCAN candidate area, calculating kernel density by taking the enterprise creativity as a weight to form density partitions; and creative areas of different grades are divided according to different density grades. According to the urban creative area identification method and system based on the DBSCAN-KDE joint clustering algorithm, accurate identification of the urban creative area is realized.

The invention discloses a language model training method and device, a storage medium and a computer program product, and relates to the technical field of natural language process.The method comprises the steps that after a second device trains a small language model, text data are input into the small language model to obtain a second prediction result; the first device inputs the text data into the large language model to obtain a first prediction result, calculates first knowledge distillation loss and optimizes the large language model based on the aligned first prediction result and second prediction result, and inputs the text data into the large language model to obtain a third prediction result; the second equipment calculates second knowledge distillation loss and optimizes the small language model based on the aligned second prediction result and third prediction result; and obtaining a trained large language model until a preset training ending condition is met. According to the method, under the condition that enterprise computing power resources are limited, the big language model absorbs privacy knowledge of the field where each enterprise is located, and meanwhile, the data privacy of each enterprise is also protected.

A method of application modernization engine executed by processors. The application modernization engine provides an improved augmentation of an existing enterprise computer system. The method includes connecting, by the application modernization engine, to an existing enterprise computer system including first data and enterprise interfaces. The method includes reviving, by the application modernization engine, the existing enterprise computer system by building digital products on top of the existing enterprise computer system using the first data. The digital products read the first data and write second data back to the existing enterprise computer system. The digital products provide corresponding interfaces seamless with the enterprise interfaces. The method includes augmenting, by the application modernization engine, the existing enterprise computer system with capabilities.