Abstract: A domain-general artificial intelligence platform or system and methods that enable data-informed decision making for anyone without the need for any coding ability are disclosed. This artificial intelligence platform has domain-generality, interoperability across heterogeneous sources of data, and controllability by tracking provenance. The artificial intelligence platform works by receiving a natural language query, converts the natural language query into executable code grounded in the deep semantic understanding of the underlying data, using a natural language artificial intelligence engine, runs the executable code on a distributed runtime engine to generate data output, and augments the data with a generated natural language report which becomes the ultimate output to the user.

Abstract: A domain-general artificial intelligence platform or system and methods that enable data-informed decision making for anyone without the need for any coding ability are disclosed. This artificial intelligence platform has domain-generality, interoperability across heterogeneous sources of data, and controllability by tracking provenance. The artificial intelligence platform works by receiving a natural language query, converts the natural language query into executable code grounded in the deep semantic understanding of the underlying data, using a natural language artificial intelligence engine, runs the executable code on a distributed runtime engine to generate data output, and augments the data with a generated natural language report which becomes the ultimate output to the user.