Bengaluru, India

Jayateerth Kulkarni

This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jayateerth Kulkarni. Retrieved from https://idiyas.com/inventor/jayateerth-kulkarni

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Jayateerth Kulkarni

Introduction

Jayateerth Kulkarni is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of technology, particularly in the area of machine learning. His innovative approach has led to the development of a patent that enhances the way users interact with information systems.

Latest Patents

Jayateerth holds a patent for "Utilizing machine learning models for identifying a subject of a query, a context for the subject, and a workflow." This invention involves a device that processes user queries and enterprise data to identify relevant subjects and contexts. It further determines workflows and key performance indicators, providing users with actionable insights through virtual assistants or user interfaces.

Career Highlights

Jayateerth is currently employed at Accenture Global Solutions Limited, where he applies his expertise in machine learning to develop innovative solutions. His work focuses on improving user experience and operational efficiency through advanced technology.

Collaborations

Some of his notable coworkers include Rajashree Chandrashekar and Raghuram Yaddanapudi, who contribute to the collaborative environment at Accenture.

Conclusion

Jayateerth Kulkarni's contributions to machine learning and information systems exemplify the impact of innovation in technology. His patent reflects a commitment to enhancing user interactions and decision-making processes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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