Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

How does a big data professional get started with AI?

Wee Hyong Tok (Microsoft), Danielle Dean (iRobot)
11:00am11:40am Wednesday, March 7, 2018
Average rating: ***..
(3.50, 2 ratings)

Who is this presentation for?

  • Big data professionals

Prerequisite knowledge

  • A basic understanding of deep learning

What you'll learn

  • Understand how to get started with AI as a big data professional
  • Explore deep learning concepts


Artificial intelligence (AI) has tremendous potential to extend our capabilities and empower organizations to accelerate their digital transformation. Wee Hyong Tok and Danielle Dean demystify AI for big data professionals. Wee Hyong and Danielle cover deep learning concepts, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), and share five practical tips for getting started with AI.

Topics include:

  • Which deep learning models to use
  • How to leverage pretrained deep learning models (ResNet, Inception V3, and more) and get started immediately
  • Toolkits and libraries that enable doing AI with big data
  • The right big data infrastructure to do AI
  • How to avoid the pitfalls in training deep learning models with big data
Photo of Wee Hyong Tok

Wee Hyong Tok


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.

Photo of Danielle Dean

Danielle Dean


Danielle Dean is the technical director of machine learning at iRobot. Previously, she was a principal data science lead at Microsoft. She holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill.