Company Filing History:
Years Active: 2012-2014
Title: Innovations by Philip J. Oaten in Contextual Artificial Intelligence
Introduction
Philip J. Oaten is a distinguished inventor based in Old Tappan, NJ, recognized for his significant contributions to the field of artificial intelligence and data analysis. With three patents to his name, Oaten has made a notable impact through his innovative approach to data discernment.
Latest Patents
Oaten's most recent patents revolve around a groundbreaking concept known as "Universal Data Discernment". This patent details a contextual artificial intelligence system designed to enhance dynamic data object interaction. Intelligent business objects encapsulate user context while enabling the rationalization of data and the evolution of data objects through an artificial intelligence-assisted self-discovery process. The system identifies significant data based on crucial factors like cost, revenue, and outcome, generating contextually significant result sets automatically for users.
Career Highlights
Philip J. Oaten is currently associated with Global Healthcare Exchange, LLC, where he applies his expertise and innovative ideas to improve healthcare data management and operational efficiency. His work reflects a deep understanding of the intersection of technology and healthcare, making him a valuable asset to his team.
Collaborations
Working alongside Lou A. Davis, Oaten collaborates closely within his organization to drive forward-thinking solutions that address the complexities of data management in healthcare. Their combined expertise fosters an environment of creativity and technological advancement, ensuring the development of impactful innovations.
Conclusion
Philip J. Oaten stands out as a prominent figure in the realm of artificial intelligence and data innovation. His work at Global Healthcare Exchange, LLC, along with his patent achievements, underscores his commitment to enhancing the understanding and utilization of data through advanced technological solutions. The significant contributions he has made pave the way for future advancements in contextual data discernment.