Neel Mitra of AWS | S3 Ep16 | The Garage by Sonatus
Neel Mitra, the Worldwide Solutions Architecture Leader for Data and AI at AWS, discusses the evolution and applications of AI in the automotive industry. He highlights the transition from classic AI to large language models and agentic AI, emphasizing their potential to enhance vehicle diagnostics and performance. With over twenty-one years of experience, Neel shares insights on the importance of data integration and collaboration in optimizing automotive technology. He notes the growing trend of software-defined vehicles and the need for continuous learning through MLOps. The conversation underscores the significance of AI in transforming automotive systems and the benefits of these technologies. The conversation touches on Sonatus AI innovations such as Sonatus AI Director, a new solution for in-vehicle edge AI, and Sonatus AI Technician, which uses LLM's to provide a better diagnostic experience.
Creators and Guests
Host
John Heinlein, Ph.D
An experienced technology and marketing leader, John brings his background from startups and established companies to Sonatus. He worked for 14 years at Arm, most recently leading Automotive Partnerships for North America where he engaged OEMs, Tier-1s, and others to deploy Arm-based solutions into automotive applications, including autonomous vehicles. His team was integral to launching the SOAFEE industry initiative for software-defined vehicles of which Sonatus is a member. Earlier he served as VP and Chief of Staff to the CEO and led a group responsible for competitive strategy. For three years, he was VP of Corporate Marketing where he led centralized outbound marketing, spanning marketing campaigns, press, events, web, digital marketing, ecosystem programs, and working closely with investor relations. Prior to Arm, John had an 11-year tenure at microprocessor startup Transmeta where he held several senior roles spanning business development, marketing, and customer success, among others. John earned his B.S. in Computer Engineering from Carnegie-Mellon University and an M.S. and Ph.D., both in Electrical Engineering, from Stanford University.
