M. C. Srivas covers the technologies underpinning the big data architecture at Uber and explores some of the real-time problems Uber needs to solve to make ride sharing as smooth and ubiquitous as running water, explaining how they are related to real-time big data analytics.

Evangelos Simoudis explores how data generated in and around increasingly autonomous vehicles and by on-demand mobility services will enable the development of new transportation experiences and solutions for a diverse set of industries and government types.

Artificial intelligence will accelerate both cancer research and the development of autonomous vehicles. Jason Waxman explains why the ultimate potential of AI will be realized through its societal benefits and positive impact on our world. Collaboration between industry, government, and academia are required to drive this societal innovation and deliver the scale and promise of AI to everyone.