This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignees: Amazon Technologies, Inc., Dell Products Inc.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Abhishek Sharma: Innovator in Data Anomaly Detection
Introduction
Abhishek Sharma is a notable inventor based in Berlin, Germany. He has made significant contributions to the field of artificial intelligence, particularly in the area of data anomaly detection. His innovative approach combines advanced technology with practical applications, making a substantial impact in the industry.
Latest Patents
Abhishek Sharma holds a patent for a method titled "Automatically detecting data anomalies using artificial intelligence techniques." This patent outlines methods, apparatus, and processor-readable storage media designed to automatically detect data anomalies. The computer-implemented method involves obtaining data related to multiple tasks within an enterprise, predicting values within this data using artificial intelligence techniques, and generating recommendations based on detected anomalies. This innovative solution aims to enhance decision-making processes by automating actions based on data insights.
Career Highlights
Abhishek currently works at Dell Products Inc., where he applies his expertise in artificial intelligence to develop cutting-edge solutions. His work has been instrumental in advancing the company's capabilities in data analysis and anomaly detection. With a focus on innovation, he continues to push the boundaries of technology in his field.
Collaborations
Abhishek collaborates with talented professionals, including Norbert Adear and Prateek Srivastava. Together, they work on various projects that leverage artificial intelligence to solve complex problems in data management and analysis.
Conclusion
Abhishek Sharma is a pioneering inventor whose work in data anomaly detection exemplifies the intersection of technology and practical application. His contributions continue to shape the future of artificial intelligence in enterprise settings.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

