Development of Highly Automated Driving solutions for the next generation of vehicles is a massively complex process, requiring management of vast data sets (both real world sensor data and synthetic data). In turn, this leads to subsequent iterative development using HiL / SiL performance testing against defined test cases, and development of real-time inference engines driven by deep Neural Networks via the process of Machine Learning and Deep Learning. A growing development ecosystem, including toolchains, algorithms, public training decks, annotation services and more, is coming but requires carefully managing security and access to highly-valuable and company confidential information. An approach that offers access to multiple public cloud services at the lowest cost, but with the greatest agility is essential to take a leading position in this highly competitive market. This webinar will discuss best-in-class methodologies for leveraging Public Cloud, shedding light on the trade-offs and technical roadblocks introduced and how to avoid them.