38 results about "Enterprise computing" patented technology

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.

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.

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.

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.

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.

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.

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.

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 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.

Various aspects of the disclosure relate to automated conversion of time and / or date information from a first format to a second format and initiating computing functionality based on a successful conversion event. Mainframe computer hardware and software are provided for automatically converting differing time formats used across an enterprise computing network, automatically presenting times in multiple formats and / or translations of times across time zones for different regional computing systems of the enterprise computing network, and translating time formats based on an input and automatically pulling data records based on time zones of one or more of the involved computing systems and / or a location associated with the input source.

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.

A computing system may include a network connecting ally computers, a server, and an enterprise computer. The ally computers may be configured to send and to receive a patron endorsement from one line to another line. The server may be configured to index the patron endorsement into an endorsement data set by a unique patron number associated with a patron name, a sending line, a receiving line, and a patron needs met indication. The server may transform transform an enterprise patron needs met indication based on both sending line and receiving line as indexed in the first endorsement data set. The graphical user interface may depict first and second graphical user interfaces containing data fields populatable with the sending / receiving line and a number of endorsements, the patron needs met indication, and a conversion rate. A third graphical user interface may include data fields populatable with the enterprise patrons needs met.

The application provides a kind of city creative area identification method and system based on ST-DBSCAN space-time clustering algorithm, comprising: step 1, collecting target enterprise data of target city and preprocessing;Step 2, generate city creative enterprise electronic map based on the enterprise address of the target enterprise;Step 3, on the city creative enterprise electronic map, the target enterprise is clustered and partitioned for the first time based on the DBSCAN algorithm of spatial distance, and the DBSCAN candidate area is preliminarily identified;Step 4, based on the target enterprise data, the target enterprise calculation index is screened, the weight of each calculation index of the target enterprise is determined by entropy method, weighted summation, and the enterprise creativity is calculated;Step 5, in the DBSCAN candidate area, the kernel density is calculated with the enterprise creativity as the weight, and the density partition is formed;different grades of creative areas are divided according to the different density levels.The application provides a kind of city creative area identification and method and system based on DBSCAN-KDE joint clustering algorithm, to realize the accurate identification of city creative area.

The invention discloses an automatic marketing method and system, and the method comprises the steps: S1, screening a target enterprise, and calculating the basic weight of the target enterprise and the weight of a target contact person; extracting an activeness parameter of the target enterprise from the historical reach record, and generating a reach frequency weight of the target enterprise; s2, calculating the comprehensive weight of the target enterprise based on the basic weight of the target enterprise, the weight of the target contact person and the reaching frequency weight; s3, based on the pseudo-random number sequence, generating a plurality of touch resource nicks for the touch task, and sorting the touch resource nicks according to time; s4, screening a target contact person based on the push channel; through a bipartite graph maximum matching method, matching a plurality of arriving resource niches which are ranked in the first place with a plurality of target contacts under the corresponding pushing channels, calculating matching weights between the arriving resource niches and the target contacts, and obtaining an optimal matching scheme when the sum of the matching weights is maximum; and S5, based on the optimal matching scheme, executing a touch task to the corresponding target contact person through the corresponding push channel.

The present disclosure provides a system and method for identifying domain specific contextual information with an enterprise computing environment. The system is configured to generate a domain specific semantic model (M) based on one or more domain specific articles and assets dataset from web, (ii) generate one or more enterprise specific semantic models for all N organizations by fine tuning the domain specific semantic model with the one or more articles and assets from an enterprise, and (iii) identifying a list of relevant knowledge assets within the enterprise using the one or more enterprise specific semantic models in response to a search query.

An example method includes obtaining a result of a business application discovery process, where the result lists a plurality of software packages installed on a computing system of an enterprise, identifying a first software package of the plurality of software packages for which an end of service life is scheduled to occur within a defined period of time, identifying a set of business applications of the enterprise that uses the first software package, delivering, for each business application of the set of business applications, a notification to an owner of the each business application alerting the owner to the end of service life for the first software package, wherein the notification includes a hyperlink to a survey about the each business application, collecting responses of the owner to the survey, and generating a dashboard that aggregates the responses with data about other software packages used by the owner.

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 Al 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 Al agents from a total set of Al agents to address the trigger event by performing an Al-based intervention.

Various aspects of the disclosure relate to enforcing dynamically updated network security policies in real-time (or upon an identified update) from multiple organizations and anonymously analyze computing system configuration information uploaded from third-party computing systems. An analysis engine monitors compliance information and compare the compliance information against the security rules and / or requirements for one or more enterprise networks. A visualization providing a network map with a visual representation of each product system service system may include communication links between internal applications and / or computing systems and drill-down capability to identify issues as they are occurring or are predicted to occur. The security escrow system may include a mechanism to automatically enable / disable access between third party networks and one or more enterprise computing systems in real-time based on identified compliance information.

Systems and methods for automatic generation of business intelligence (BI) data models using data introspection and curation, such as may be used in an enterprise resource planning (ERP) or other enterprise computing or data analytics environment.SOLUTION: The method derives a target BI data model using a combination of manually curated artifacts and automatic generation of a model of the source data environment via data introspection, evaluates, in a pipeline generator framework, dimensions of transaction types, degenerate attributes, and application metrics, and uses the output of this process to create an output target model and a pipeline or load plan.EFFECT: To provide technical improvement in terms of construction of a new target area or BI data model in a short period of time.SELECTED DRAWING: Figure 17