Now Available On-Demand!
Sponsored by Hortonworks
Autonomous vehicles are on the rise, with 12 million fully autonomous vehicles anticipated by 2035 according to Boston Consulting Group (BCG). However, as it turns out, teaching cars to drive is an incredibly data intensive endeavor. Traditional data management approaches are straining to cope with the demands imposed by autonomous driving research.
This webcast, sponsored by Hortonworks, investigates the role of data in teaching cars to drive and the data management challenges that automakers must overcome in achieving this objective. Finally, a modern data architecture, leveraging the latest advances in data management technologies is proposed to facilitate the promise of a self-driving future.
Michael Ger - General Manager, Industrial Manufacturing and Automotive Solutions, Hortonworks
Michael Ger has over 25 years of experience working in industry and Information Technology strategy roles. He has deep cross-industry knowledge in product development, manufacturing, supply chain and customer experience related business processes. As General Manager of Manufacturing and Automotive Industries at Hortonworks, Mike is responsible for driving the solution vision and go-to-market strategies within each industry segment and works with industry leaders to drive next-generation business insights through Big Data Analytics. Prior to joining Hortonworks, Mike worked at Oracle for over 20 years as their Automotive Industry lead, at A.T. Kearney as an Automotive Management Consultant and at General Motors (Saturn Division) as a Product Engineer.
Robert Hryniewicz - Data Scientist & Lead Evangelist, Hortonworks
Robert has over 12 years of experience working on various projects related to Artificial Intelligence, Robotics, IoT, Enterprise & Embedded Software. His primary focus at Hortonworks is building communities around Big Data and Data Science, and enabling Enterprises to accelerate adoption of cutting edge open-source technologies.