The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 29, 2025
Filed:
Aug. 31, 2023
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Shaily Jignesh Fozdar, Boston, MA (US);
David Joseph Donahue, Cambridge, MA (US);
Fang Liu, Shanghai, CN;
Noelle Yanhui Li, New York, NY (US);
Abhishek Narain, Woodinville, WA (US);
Irene Rogan Shaffer, Cambridge, MA (US);
Wee Hyong Tok, Redmond, WA (US);
Ehimwenma Nosakhare, Newton, MA (US);
Vivek Gupta, Groton, MA (US);
Gust Verbruggen, Keerbergen, BE;
Vu Minh Le, Redmond, WA (US);
Jordan Joseph Henkel, Madison, WI (US);
Avrilia Floratou, Sunnyvale, CA (US);
Joyce Yu Cahoon, Woodinville, WA (US);
Richard Anarfi, Boston, MA (US);
Jason Wang, Boston, MA (US);
Daniel Muñoz Huerta, Cambridge, MA (US);
Yan Qiu, Shanghai, CN;
Microsoft Technology Licensing, LLC, Redmond, WA (US);
Abstract
A computer-implemented method for performing natural language-based data integration includes causing execution of a data integration application on a remote device via a network and causing surfacing of a GUI corresponding to the data integration application on a display of the remote device. The method includes receiving, via the GUI, a natural language input representing a data integration task, generating, via an LLM, a set of ordered activities corresponding to the data integration task represented by the natural language input, and selecting, via the LLM, one or more APIs for performing each activity within the set of ordered activities. The method also includes generating a data pipeline based on the set of ordered activities and the API(s) for performing each activity, as well as back-translating the data pipeline to a desired data format for execution by the data integration application.