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:
Oct. 27, 2026
Filed:
May. 30, 2023
Oracle International Corporation, Redwood Shores, CA (US);
Uday Bhaskar Yalamanchi, Union City, CA (US);
Fnu Akshat, Seattle, WA (US);
Prashanth Ramanathan, Bellevue, WA (US);
Abhiram Jagarlapudi, Seattle, WA (US);
Ye Zhang, Redmond, WA (US);
Aditya Banerjee, Danville, CA (US);
Varaprasad Ballingam, Houston, TX (US);
Athinder Patlola, Seattle, WA (US);
Beiwen Guo, Seattle, WA (US);
Varun Ketanbhai Shah, Mill Creek, WA (US);
Safia Rahmat, Everett, WA (US);
Shreyas Vinayakumar, Santa Clara, CA (US);
Jigar Mody, Cedar Park, TX (US);
Elad Ziklik, Bellevue, WA (US);
Senthilkumar Ponnappan, Redmond, WA (US);
Pranav Varia, Bothell, WA (US);
Denesh Krishnan Rajaram, Bellevue, WA (US);
Hariharan Balasubramanian, Redmond, WA (US);
Oracle International Corporation, Redwood Shores, CA (US);
Abstract
Techniques for providing machine-learned (ML)-based artificial intelligence (AI) capabilities are described. In one technique, multiple AI capabilities are stored in a cloud environment. While the AI capabilities are stored, a request for a particular AI capability is received from a computing device of a user. Also, in response to receiving training data based on input from the user, the training data is stored in a tenancy, associated with the user, in the cloud environment. In response to receiving the request, the particular AI capability is accessed, a ML model is trained based on the particular AI capability and the training data to produce a trained ML model, and an endpoint, in the cloud environment, is generated that is associated with the trained ML model. The endpoint is provided to the tenancy associated with the user.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile