Dr Ravindra Patil, VP of Data Science | Source
Dr Ravindra Patil, VP of Data Science
Dr. Ravindra Patil is the VP of Data Science at Tredence, leading a team with 15 years of industrial experience in Data and AI. His expertise lies in successful team leadership and developing effective Data and AI solutions. Ravindra began his career at Siemens, later contributing significantly at Philips Research and its business groups. Before joining Tredence, he led a Data and AI group for Philips' $4 billion Personal Health cluster.
Throughout his journey, Ravindra has created multiple AI algorithms, data platforms, and facilitated their integration into various business sectors. He holds a Bachelor's in Engineering, a Master's in pattern recognition from IIT Madras, India, and a Ph.D. in machine learning from the University of Maastricht, Netherlands. With over 30 patent filings, numerous published research papers, and recognition as one of India's top 100 AI leaders by AIM magazine, his accomplishments are noteworthy.
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Agentic AI and Observability: Navigating the Future of Autonomous Systems
Dr. Patil highlights that agentic AI requires new observability approaches for transparency and security. "Without proper observability, businesses face risks like untraceable decisions and security vulnerabilities." Observability platforms offer explainability and error detection, essential for managing AI-driven decisions. As AI evolves, these tools must adapt to ensure ethical and efficient operations.