This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Qian Ke Fang
Introduction
Qian Ke Fang is a notable inventor based in Zhengjiang, China. He has made significant contributions to the field of artificial intelligence, particularly in the area of IT operations data management. His innovative approach has led to the development of a unique patent that enhances the efficiency of event grouping in IT operations.
Latest Patents
Qian Ke Fang holds a patent titled "Artificial intelligence operations adaptive multi-granularity event grouping." This patent describes a system and methods for adaptive multi-granularity event groupings. The method involves determining the level of granularity for grouping IT operations data based on user input. It includes parsing the data into groups of similar events, obtaining user feedback for modifications, and updating parser rules using an artificial intelligence model. This innovative approach allows for more effective management of IT operations data.
Career Highlights
Qian Ke Fang is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on leveraging artificial intelligence to improve IT operations. With a patent portfolio that includes 1 patent, he has established himself as a key player in the field of technology and innovation.
Collaborations
Qian Ke Fang collaborates with Zhi Wang, who is also involved in similar technological advancements. Their partnership enhances the development of innovative solutions within their organization.
Conclusion
Qian Ke Fang's contributions to artificial intelligence and IT operations data management exemplify the impact of innovation in technology. His patent and ongoing work at IBM highlight the importance of adaptive systems in improving operational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
