Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
Joy Qiao

Joy Qiao
Senior Solution Architect, Microsoft


Joy Qiao is a Senior Solution Architect in the AI & Research Group at Microsoft, where she is responsible for driving end-to-end AI and Machine Learning solutions on Azure among the partner eco-system. Joy has over 15 years of IT industry experience including 11 years at Microsoft working as technical lead/architect roles in various Microsoft Azure teams, as well as senior consultant/architect in the Microsoft services team. Joy has mainly been focusing on Microsoft Azure, Big Data and Machine Learning technologies, leading and delivering various Machine Learning, Big Data and Cloud-based solutions for both internal and external MS enterprise customers and partners.


4:00pm–4:40pm Wednesday, September 20, 2017
Implementing AI
Location: Grand Ballroom Level: Beginner
Secondary topics:  Data science and AI, Deep learning
Wee Hyong Tok (Microsoft), Joy Qiao (Microsoft)
Average rating: *****
(5.00, 1 rating)
Joy Qiao and Wee Hyong Tok demonstrate how to combine Kubernetes clusters and deep learning toolkits to get the best of both worlds and jumpstart the development of innovative deep learning applications. Along the way, Joy and Wee Hyong explain how to train deep neural networks using GPU-enabled containers orchestrated by Kubernetes with common deep learning toolkits, such as CNTK and TensorFlow. Read more.