A system, method and computer-readable recording medium for managing functions, resources and services of a telecommunications network. The method includes receiving a query for a change of inventory in a telecommunications network; obtaining a specification of an inventory entity to be changed; evaluating the specification of the inventory entity to be changed based on type or property of the inventory entity; creating a vertex for the inventory entity to be changed among vertices of existing inventory of the telecommunications network; creating a relationship between the vertex of the inventory entity to be changed and the vertices of the existing inventory based on the evaluation; creating a constraint between the inventory entity to be changed and the existing inventory in the telecommunications network based on the relationship; validating the constraint; and commit the inventory entity to be changed based on the validation.

An innovative system for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced AI techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an AI-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface. The system also features a cross-departmental health monitoring and notification mechanism, alongside an intent-based interaction system. This solution enhances organizational efficiency, improves decision-making, and provides unprecedented levels of automation and insight in managing complex SaaS ecosystems.

Computer-implemented methods for a pipeline query transformation system are disclosed herein. Aspects include validating an input query of business logic in a pipeline query language using a pipeline dialect by a pipeline processor of a pipeline query transformation system. Aspects also include parsing the input query into pipeline operators. Aspects further include processing the pipeline operators using the pipeline dialect by the pipeline processor. Aspects include generating a query context by processing the pipeline operators. Aspects also include generating an SQL query from the query context.

A customized service providing robot according to an embodiment of the present disclosure includes: a moving device configured to move the robot to a location where a user is recognized; a collection device configured to capture an image of the user through a visual sensor and collect imaging information; and a processor configured to process the information collected by the collection device and control the moving device, and the processor inputs the information collected through the collection device into at least one pre-trained analysis model to derive element information for each analysis model (a), integrates the derived element information for each analysis model to generate integrated information and recognizes the user's current situation based on the integrated information to generate situation information (b), and provides a customized service to the user based on the situation information (c).

A computer-implemented method for providing user interfaces is disclosed. The method includes requesting transaction-specific information for a cloud service resource offered by a cloud server application. The requesting causes the cloud server application to send the transaction-specific information that indicates the resources required to access the cloud service resource. The method also includes receiving the transaction-specific information from the cloud server application, and providing a platform-specific application programming interface (API) that identifies a part of the transaction-specific information as applicable for a resource utilization criterion related to the cloud service resource. The resource utilization criterion includes an availability in a geographical region, a resource size preference of a target user, and a resource category preference of the target user. The method further includes selecting and displaying only the identified part of the transaction-specific information to the target user.

The present invention relates generally to distributed computing systems, and more specifically, to a computerized system and method that allows for dynamic updating of distributed hardware using reconfigurable data management agents.

This program causes a computer (10) to function as reception means (22), calculation means (24), and determination means (26). The reception means (22) receives information on at least a real estate safety rate and a device equipment safety rate of each of a plurality of data centers (110) coordinated with each other and to be provided for composing a data storage system (100). The calculation means (24) calculates a safety rate of each data center (110) to be provided, based on each received real estate safety rate and each received device equipment safety rate, and calculates a safety rate of the data storage system (100), based on the calculated safety rates of the data centers (110).

Systems and methods for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. One of the computer-implemented methods are for querying a generative AI model about structured data in a SaaS environment, enabling users to interact with and manipulate data through AI-assisted interfaces. One of the systems maintains a generative AI agent configured to interact with SaaS platform data as a virtual team member, capable of understanding context and nuances of project data. Also described are methods for color-context aware data analysis, generation of interactive elements in messaging sessions, and cross-application generative AI agent interactions triggered by user mentions. Also described is facilitating the creation of custom SaaS platform products by combining functionalities from existing products using generative AI. The systems and methods represent advancement in AI-driven SaaS customization and data analysis.

A method of providing efficient universal user identifier (UUID) generation and resolution. The method includes receiving records associated with a user across different data sources, wherein each of the records comprises one or more personal identifiable information (PII) attributes; generating first signatures, each based on one or more PII attributes in a respective one of the records; searching for the first signatures in a database comprising UUIDs in association with customer signatures; determining, based on the searching, that one or more first signatures of the first signatures respectively match to one or more customer signatures of the customer signatures associated with a first UUID of the UUIDs; calculating a confidence score for the one or more matched customer signatures; determining that the user is a customer based on the confidence score satisfying a threshold; and configuring a telecommunications service configuration for the user based on the user being the customer.

A method of constraint generating using large language models according to an embodiment includes configuring a first large language model of a knowledge base orchestrator based on a first master prompt, configuring a second large language model of a workplan builder orchestrator based on a second master prompt, providing a set of predefined constraint queries to the knowledge base orchestrator, generating a set of first responses to the set of predefined constraint queries based on a knowledge base and the first large language model, providing the set of predefined constraint queries and the respective first responses to the set of predefined constraint queries to the workplan builder orchestrator, generating a set of second responses to the set of predefined constraint queries based on the second large language model, and determining workplan constraints based on the set of second responses.