Abstract: Artificial Intelligence (AI) in implemented to integrate disparate data sources. Machine Learning (ML) is trained and subsequently implemented to analyze disparate data sources to determine differences/gaps between the data sources and subsequently Generative Artificial Intelligence (GenAI) is used to generate an integration adapter that is data source-specific, acts as an intermediary for integrating (e.g., connecting or converting) the data sources and serves to address the determined differences/gaps between the data sources.

Abstract: Increasing programming functionality of data sources through the use of Artificial Intelligence (AI), specifically Machine Learning (ML) models and Generative AI (GenAI). ML model(s) that have been trained to acquire a knowledge base from a data source are implemented and once acquired, further ML models are implemented that have been trained to identify, based on the knowledge base, opportunities for additional programming functionalities. Once the additional programming functionalities have been determined, the present invention implements GenAI to generate at least a portion of the technology stack associated with the data source. Generating a portion of the technology stack includes one or more rebuilding/revising the data source, generating a new data source, revising use application and/or data source management software and/or generating new use application and/or data source management software.