Abstract: Methods, systems, and computer storage media for providing glossary management using an artificial intelligence (AI)-integrated glossary engine in a glossary system are described. The AI-integrated glossary engine recommends definitions for terms and phrases associated with a query. In operation, the AI-integrated glossary engine identifies domain-specific glossary terms, which are terms or phrases (e.g., jargon) with a client-specific definition associated with several sources. A user can provide a query to an AI agent to generate a response, and the AI-integrated glossary engine, utilizing a machine learning model, retrieves domain-specific glossary terms that are unique to the domain in question and responsive to the query.

Abstract: Methods, systems, and computer storage media for providing glossary management using an artificial intelligence (AI)-integrated glossary engine in a glossary system are described. The AI-integrated glossary engine recommends definitions for terms and phrases associated with a query. In operation, the AI-integrated glossary engine identifies domain-specific glossary terms, which are terms or phrases (e.g., jargon) with a client-specific definition associated with several sources. A user can provide a query to an AI agent to generate a response, and the AI-integrated glossary engine, utilizing a machine learning model, retrieves domain-specific glossary terms that are unique to the domain in question and responsive to the query.

Abstract: A method for providing generating data extensions for a first data profile includes receiving a request for historical data, the data being associated with a first data profile, the first data profile being generated from data supplied by a data source system, creating a data model for obtaining the historical data based on data from at least one of the first data profile, a second data profile, or the data source system, executing the data model to obtain the historical data, and storing the historical data as a data extension of the first data profile. The first data profile and the data extension of the first data profile may be generated and stored separately, and the data extension of the first data profile is generated on the fly at runtime.

Abstract: A method for providing automatic restatement of a data environment includes receiving a request for restatement of a first dataset, accessing dependency data that describes a set of dependencies between the first dataset and one or more other datasets in the computer data environment, examining the dependency data to automatically identify one or more second dataset from among the one or more other datasets, the second datasets being datasets from which the first dataset depends, examining a first timing data related to the restatement of the first dataset and a second timing data related to the restatement of the identified second datasets to identify one or more third datasets from among the second datasets that require restatement as a result of the restatement of the first dataset, generating a restatement plan based on the identified third datasets, and initiating automatic execution of the restatement plan.