Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Wee Hyong Tok

Wee Hyong Tok
Principal Data Science Manager, Microsoft

Website | @weehyong

Wee Hyong Tok is a principal data science manager with the AI CTO Office at Microsoft, where he leads the engineering and data science team for the AI for Earth program. Wee Hyong has worn many hats in his career, including developer, program and product manager, data scientist, researcher, and strategist, and his track record of leading successful engineering and data science teams has given him unique superpowers to be a trusted AI advisor to customers. Wee Hyong coauthored several books on artificial intelligence, including Predictive Analytics Using Azure Machine Learning and Doing Data Science with SQL Server. Wee Hyong holds a PhD in computer science from the National University of Singapore.

Sessions

11:55am–12:35pm Tuesday, May 1, 2018
Using Cognitive Toolkit (CNTK) and TensorFlow with Kubernetes clusters
Implementing AI
 Location: Sutton North/Center
Danielle Dean (iRobot), Wee Hyong Tok (Microsoft)
Average rating: *****
(5.00, 1 rating)
Deep learning has fueled the emergence of many practical applications and experiences. Meanwhile, container technologies have been maturing, allowing organizations to simplify the development and deployment of applications in various environments. Join Wee Hyong and Danielle Dean as they walk you through using the Cognitive Toolkit (CNTK) with Kubernetes clusters. Read more.
1:45pm–2:25pm Tuesday, May 1, 2018
Distributed DNN training: Infrastructure, challenges, and lessons learned
Implementing AI
 Location: Grand Ballroom East
Kaarthik Sivashanmugam (Microsoft), Wee Hyong Tok (Microsoft)
Kaarthik Sivashanmugam and Wee Hyong Tok share recommendations to address the common challenges in enabling scalable and efficient distributed DNN training and the lessons learned in building and operating a large-scale training infrastructure. Read more.