AI Trends, Opportunities and Lessons Learned
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Speaker (s):
TOK Wee Hyong
Principal Data Science Manager,
AzureCAT, Microsoft
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Date:
Time:
Venue:
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May 24, 2019, Friday
4:00pm - 5:30pm
Seminar Room 3.4, Level 3
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
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PROGRAMME
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4.00pm - 5.00pm
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Research Seminar |
| 5.00pm - 5.30pm |
Panel Discussion
Panelists:
- LIM Ee Peng
Professor of Information Systems
Director, Living Analytics Research Centre
- DAI Bing Tian
Assistant Professor of Information Systems (Education) Director, MITB (Artificial Intelligence) Programme
- TOK Wee Hyong
Principal Data Science Manager, AzureCAT, Microsoft
- LEONG Der Yao
Director, GovTech Singapore
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ABSTRACT
In this session, you will learn the key trends in machine learning and deep learning, grounded on practical lessons from working on AI projects with some of the world's largest Fortune 500 companies, on evolving their AI ideas from proof of concept to production systems. You will learn about AI uses cases in various industries, ranging from healthcare, manufacturing, retail and more, and the tips and tricks towards successful AI implementations and managing the technical debts when working on AI projects.
Join Wee Hyong for a conversation about how the ingenuity of researchers, data scientists and ML engineers are using AI to create innovative products, and changing the world.
About the Speaker
Wee Hyong is Head of Global AI Labs and part of the AzureCAT team at Microsoft. He has extensive leadership experience leading multi-disciplinary team of engineers and data scientists, working on cutting-edge AI capabilities that are infused into products and services.
He is a tech visionary with a background in product management, machine learning/deep learning and working on complex engagements with customers. Over the years, he has demonstrated that his early thought-leadership white papers on tech trends have become reality, and deeply integrated into many products. His ability to strategize, and turn strategy to execution, and hunting for customer adoption has enabled many projects that he works on to be successful.
Wee Hyong has worn many hats in his career - developer, program/product manager, data scientist, researcher, and strategist, and his range of experience has given him unique super powers to lead and define the strategy for high-performing Data and AI innovation teams. Throughout his career, he has been a trusted adviser to the C-suite, from Fortune 500 companies to startups.
Prior to his current role, Wee Hyong is part of the SQL Server team, responsible for product management for SQL Server Integration Services (SSIS), and Azure Data Factory, and has shipped multiple versions of SSIS from 2008 to 2013, and is part of the founding team responsible for the ideation of Azure Data Factory, and taking it from incubation to shipping as an Azure Service in 2015.
Wee Hyong is an affiliate professor with the University of Washington, where he teaches data science courses. He co-authored several books on artificial intelligence – including the first book on “Deep Learning on Azure”, and “Predictive Analytics Using Azure Machine Learning”.
