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: Zhi Wang - Innovator in Artificial Intelligence Operations
Introduction
Zhi Wang is a prominent inventor based in Shanghai, 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
Zhi Wang 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 utilizing an artificial intelligence model to identify keywords for updating parser rules. This innovative approach allows for more effective management of IT operations data.
Career Highlights
Zhi Wang is currently employed at International Business Machines Corporation (IBM), where he continues to work on advancing technologies in artificial intelligence. His expertise in the field has positioned him as a valuable asset to the company. He has demonstrated a strong commitment to innovation and the development of cutting-edge solutions.
Collaborations
Zhi Wang collaborates with Qian Ke Fang, a fellow innovator in the field. Together, they work on projects that aim to push the boundaries of artificial intelligence and improve operational efficiencies.
Conclusion
Zhi Wang's contributions to artificial intelligence and IT operations are noteworthy. His patent reflects a deep understanding of the complexities involved in data management and showcases his innovative spirit. As he continues to work at IBM, his future endeavors are anticipated to further impact the field positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
