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.
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.
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.
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