AI for Earth: How AI Can Help Solve Earth’s Sustainability Challenges | SGInnovate
August 1
2018

Location

32 Carpenter Street
Singapore 059911

AI for Earth: How AI Can Help Solve Earth’s Sustainability Challenges

Presented by SGInnovate

AI for Earth has one simple but huge ambition – to fundamentally transform the way one monitors, models and manages Earth’s natural resources using AI.  At the same time, deep learning innovations and breakthrough are happening both in academia and industry at a breathtaking pace.  By leveraging these AI innovations, and breakthroughs, many AI for Earth grantees have been using AI to solve many of earth’s toughest challenges -  ranging from precision agriculture, precision conservation to understanding and protecting biodiversity, and more.

Join Wee Hyong in this talk as he shares with you many of the exciting projects that AI for Earth has been working on,  and how AI is used to amplify human’s ingenuity. Through the lens of these exciting use cases, you will also learn about cutting-edge AI use cases, trends and opportunities, and how you can get started with AI today.

Date : 1 August 2018
Time : 5:30pm – 7.30pm
Venue : 32 Carpenter Street, Singapore 059911

Programme:
5:30pm – 6:00pm: Registration
6:00pm – 7:00pm: How AI Can Help Solve Earth’s Sustainability Challenges
7:00pm – 7:30pm: Q&A and Networking

Speaker:
Wee Hyong Tok
Principal Data Science Manager, Microsoft
Wee Hyong leads a multi-disciplinary team (consisting of data scientists, engineers and program managers). His team focus on using cutting-edge deep learning capabilities to drive AI innovations. In addition, he leads the engineering and data science team for the Microsoft AI for Earth Program. He has worn many hats in his career - developer, program/product manager, data scientist, researcher, and strategist.  He is a trusted advisor to many Fortune 500 companies on data and AI architectures, building data science teams, and using AI in accelerating digital transformations.
 
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 “Predictive Analytics Using Azure Machine Learning”, and “Doing Data Science with SQL Server”, and is currently working on an upcoming book on deep learning, releasing Summer 2018.
 
Wee Hyong graduated from the School of Computing, National University of Singapore with a PhD in Computer Science, specializing in advanced query processing in database management systems.
 

Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics

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