Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference

Cloud AI innovations (sponsored)

Graham Williams (Microsoft)
11:15am–11:55am Wednesday, December 7, 2016
Location: 323
Average rating: ****.
(4.00, 1 rating)

What you'll learn

  • Learn why the cloud offers a cost-effective platform for developers


The amount of cutting-edge technology that Azure puts at your fingertips is incredible. Tasks that used to take weeks, like building a web server or integration workflow, can now be accomplished in seconds, and bundling Azure services allows developers to create solutions that, even a few months ago, would have seemed out of reach. Artificial intelligence is no exception. Azure enables sophisticated capabilities in artificial intelligence, machine learning, deep learning, cognitive services, and advanced analytics. Graham Williams explains why Azure is the next AI supercomputer and how this vision is being implemented in reality. Along the way, Graham demonstrates how to use Azure to process data at any scale and how to compose tools such as Spark and R and do scale-out querying on demand at massive scale.

Photo of Graham Williams

Graham Williams


Graham Williams is director of data science at Microsoft, where he is responsible for the Asia-Pacific region, an adjunct professor with the University of Canberra and the Australian National University, and an international visiting professor with the Chinese Academy of Sciences. Graham has 30 years’ experience as a data scientist leading research and deployments in artificial intelligence, machine learning, data mining, and analytics. Previously, he was principal data scientist with the Australian Taxation Office and lead data scientist with the Australian Government’s Centre of Excellence in Analytics, where he assisted numerous government departments and Australian industry in creating and building data science capabilities. He has also worked on many projects focused on delivering solutions and applications driven by data using machine learning and artificial intelligence technologies. Graham has authored a number of books introducing data mining and machine learning using the R statistical software.