Wee Hyong is a Principal Data Scientist Manager, at Microsoft. He has decades of database systems experience, spanning academia and industry, including deep experience driving and shipping products and services that span distributed engineering teams from Asia and the United States.

Before joining Microsoft, Tok worked on in-database analytics, demonstrating how association rule mining can be integrated into a relational database management system, Predator-Miner, which enables users to express data mining operations using SQL queries and provides opportunities for better query optimization and processing.

Tok is instrumental in driving data mining boot camps in Asia and was honored as a Microsoft SQL Server Most Valuable Professional for several consecutive years because of his active contribution to the database community in Asia. He has co-authored several books, including the first book on Azure machine learning, Predictive Analytics with Microsoft Azure Machine Learning, and has also published more than 20 peer-reviewed academic papers and journals. Tok holds a Ph.D. in computer science from the National University of Singapore.

Roger Barga is a General Manager and Director of Development at Amazon Web Services. Prior to joining Amazon, Roger was Group Program Manager for the Cloud Machine Learning group in the Cloud & Enterprise division at Microsoft, where he was responsible for product management of the Azure Machine Learning service. Roger joined Microsoft in 1997 as a Researcher in Microsoft Research, where he directed both systems research and product development efforts in database, workflow, and stream processing systems. He has developed ideas from basic research, through proof of concept prototypes, to incubation efforts in product groups. Prior to joining Microsoft, Roger was a Research Scientist in the Machine Learning Group at the Pacific Northwest National Laboratory where he built and deployed machine learning-based solutions.

Roger is also an Affiliate Professor at the University of Washington, where he is a lecturer in the Data Science and Machine Learning programs. Roger holds a PhD in Computer Science, a M.Sc. in Computer Science with an emphasis on Machine Learning, and a B.Sc. in Mathematics and Computing Science. He has published over 100 peer-reviewed technical papers and book chapters, and collaborated with over 200 co-authors.

Valentine Fontama is a Principal Data Scientist Manager in the Cloud & Enterprise Analytics and Insights team that delivers analytics capabilities across Azure and C+E cloud services. He brings over nine years of Data Science experience: Following a PhD in Neural Networks, he was a New Technology Consultant at Equifax in London where he pioneered the use of Data Mining to improve Risk Assessment and Marketing in the Consumer Credit industry. His last role was Principal Data Scientist in Data & Decision Sciences Group (DDSG) where he led consulting to external customers.

He also has 7 years of business experience: in prior roles at Microsoft Val was a Senior Product Manager for Big Data and Predictive Analytics in Cloud and Enterprise Marketing. He led product management for Azure Machine Learning; HDInsight; Parallel Data Warehouse, our first ever Data Warehouse appliance, and 3 releases of Fast Track Data Warehouse.

Val holds an M.B.A. in Strategic Management and Marketing from Wharton Business School, a Ph.D. in Neural Networks, M.Sc. in Computing, and B.Sc. in Mathematics and Electronics. He has published 11 academic papers, and co-authored three Big Data books - Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes (2 editions) and Introducing Microsoft Azure HDInsight.