With the emergence of new powerful hardware accelerators, such as Graphical Processing Units (GPUs) and Programmable Field Gate Arrays (FPGAs), more and more artificial intelligence (AI) has appeared …

This talk proposes a Networking Grand Challenge: to build a self-driving network one that runs itself in all aspects, from self-discovery to configuration to mon …

Tools, frameworks, access to high-value data, and practical approaches to deployment and integration with existing systems and applications are just some of the considerations facing companies adopting deep learning. Ron Bodkin explores tools, open source technology, frameworks, and strategies to cost-effectively achieve strategic results with deep learning in the enterprise.

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.

In response to a managers question about how to plan products, Alan Kay famously remarked, The best way to predict the future is to invent it. His answer invokes a paradox at the heart of design: we cant know the future, yet its what we design for. Peter Morville argues that to practice strategic design amid disruptive innovation, we must get better at planning.