This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Sap Se. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Riccardo Spina: Innovator in Data Correlation and Anomaly Detection
Introduction
Riccardo Spina is a notable inventor based in Burlingame, CA (US). He has made significant contributions to the field of data analysis and presentation through his innovative patent. His work focuses on enhancing the way asset information is presented by utilizing advanced methods and systems.
Latest Patents
Riccardo Spina holds a patent titled "Suggestion of views based on correlation of data." This patent describes methods, software, and systems for providing suggested views of asset information for presentation. The disclosure outlines a method for identifying a set of correlated records for a plurality of assets. This includes analyzing these records to establish anomaly-detection rules. The system is designed to indicate assets associated with potential anomalies and provide suggested views for user interfaces. Riccardo's patent is a testament to his expertise in leveraging data for improved decision-making.
Career Highlights
Riccardo Spina is currently employed at SAP SE, where he applies his innovative ideas to real-world applications. His work at SAP SE allows him to collaborate with other talented professionals in the field. He has made strides in developing solutions that enhance data correlation and presentation.
Collaborations
Riccardo has worked alongside notable colleagues such as Timo Hoyer and Ramprasad Rai. Their collaborative efforts contribute to the advancement of technology in data analysis and presentation.
Conclusion
Riccardo Spina's contributions to the field of data correlation and anomaly detection are noteworthy. His innovative patent and work at SAP SE highlight his commitment to improving asset information presentation. Through his efforts, he continues to influence the landscape of data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
