Abstract: Described herein are methods, systems, and media for knowledge article prediction from historical or open service tickets comprising service ticket summarization and intent extraction and knowledge article prediction in off-line or real-time pipelines.

Abstract: Described herein are methods, systems, and media for ticket field values prediction from historical or open service tickets comprising service ticket summarization and intent extraction and ticket field values prediction in off-line training or real-time prediction pipelines.

Abstract: Described herein are methods and systems for optimizing the retrieval of data from multiple different destination software applications or systems comprising a planner module, a navigator module, an executor module, and a response generator module, which together divide natural language queries of users into manageable sub-tasks using a large language learning model (LLM), convert sub-tasks into computer executable sub-tasks involving LLM-generated code, extract relevant data from destination software systems, and return a natural language result to the user utilizing an LLM. The methods and systems also include internal verifications and user feedback-implemented output modifications.

Abstract: Described herein are methods, systems, and media for deriving operational insights about customer infrastructure comprising (a) obtaining customer incident data reported by one or more customers, wherein the customer incident data is pre-encoded using one or more encoding techniques that are specific or unique to the one or more customers; and (b) using a decoder module to directly process the customer incident data to generate an output, wherein the output comprises a plurality of configuration item(s) (CIs) discovered, derived or extracted from the customer incident data.

Abstract: Described herein are methods, systems, and media for supporting multi-language user sessions and fulfillments comprising: maintaining a repository of fulfillment objects each comprising a language and a region; establishing a user session with a user; determining a user region for the user in association with establishing the user session; identifying one or more fulfillment objects in the repository available for the user region; processing the user session, the user session comprising one or more user requests; applying a language detection model to each request to determine a user request spoken language; applying an understanding module to each request to recommend one or more of the fulfillment objects matching the region for the user; and rendering a response to each request to the user, utilizing the one or more of the fulfillment objects matching the region for the user, in the user request spoken language.

Abstract: Described herein are methods and systems for optimizing the retrieval of data from multiple different destination software applications or systems comprising a planner module, a navigator module, an executor module, and a response generator module, which together divide natural language queries of users into manageable sub-tasks using a large language learning model (LLM), convert sub-tasks into computer executable sub-tasks involving LLM-generated code, extract relevant data from destination software systems, and return a natural language result to the user utilizing an LLM. The methods and systems also include internal verifications and user feedback-implemented output modifications.

Abstract: A method, article of manufacture, and apparatus for processing data. In some embodiments, this includes determining a policy, intercepting communication between a user and a cloud service provider, applying the determined policy to the intercepted communication, storing at least a portion of the intercepted communication in an intermediary. In some embodiments, information stored in the intermediary may be retrieved without the cloud service provider.

Abstract: A system for facilitating data discovery on a network, wherein the network has one or more data storage devices. The system may include a crawler program configured to select at least a first set of files and a second set of files, each of the first set of files and the second set of files being stored in at least one of the one or more data storage devices. The system may also include a data fetcher program configured to obtain a copy of the first set of files, the data fetcher program being further configured to resist against obtaining a copy of the second set of files. The system may also include circuit hardware implementing one or more functions of one or more of the crawler program and the data fetcher program.

Abstract: A system for facilitating data discovery on a network, wherein the network has one or more data storage devices. The system may include a crawler program configured to select at least a first set of files and a second set of files, each of the first set of files and the second set of files being stored in at least one of the one or more data storage devices. The system may also include a data fetcher program configured to obtain a copy of the first set of files, the data fetcher program being further configured to resist against obtaining a copy of the second set of files. The system may also include circuit hardware implementing one or more functions of one or more of the crawler program and the data fetcher program.

Abstract: A method and apparatus for controlling the data transfer rates of data sources in an asynchronous transfer mode-based network utilizes maximum and minimum data transfer rates of sources in the network. A switch instructs data sources within the network to modify their data transfer rates by detecting "potential congestion" and "congested" states.