Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

A developer's guide to building AI applications (sponsored by Microsoft)

Anand Raman (Microsoft), Wee Hyong Tok (Microsoft)
2:05pm–2:45pm Wednesday, 09/12/2018
Location: 1A 01/02

What you'll learn

  • Learn how to apply a range of AI technologies in the cloud


Anand Raman and Wee Hyong Tok walk you through applying AI technologies in the cloud. You’ll learn how to add prebuilt AI capabilities like object detection, face understanding, translation, and speech to applications, build cognitive search applications that understand deep content in images, text, and other data, build custom AI models for predictive applications, and use the Azure platform to accelerate machine learning.

This session is sponsored by Microsoft.

Photo of Anand Raman

Anand Raman


Anand Raman is the chief of staff for the AI CTO office at Microsoft. Previously, he was the chief of staff for the Microsoft Azure Data Group, covering data platforms and machine learning, and ran the company’s product management and the development teams for Azure Data Services and the Visual Studio and Windows Server user experience teams; he also worked several years as researcher before joining Microsoft. Anand holds a PhD in computational fluid mechanics.

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.