Title: Distributed Machine Learning in Automotive

Abstract: The presentation will discuss a robust and resilient framework to enable the application of Machine Learning to Automotive vehicles, clouds and phone touch points with the consumer.  The touch points may, or may not, include direct user interaction and the frameworks examined will span cloud only, vehicle/phone only and distributed models.  The scope of the discussion will include the requirements, potential solutions and how to manage/minimize technical debt in their deployment and operation.  Also covered will be examples of the  application of machine learning and the role it plays in the use cases discussed.

Biography:

Jim Brown, CloudMade’s CTO, has been working in the field of telecommunications, geo-spatial data, database/ERP and retail industries for over 25 years. He began his career in the early 1980s at General Motors / EDS where he deployed cell controllers for the Truck and Bus group and Kmart where he deployed the first distributed Unix systems into over 2,200 store locations and was responsible for international systems, R&D, and strategic planning at various times.  He subsequently ran the technical architecture group at Oracle UK and was part of the founding team at Symbian.

Jim has spent most of this time on creating new products and building/running technical groups and consulting practices.  At CloudMade this has included creating and driving the architecture of CloudMade’s products for distributed machine learning and the application of the same at different OEMs.