Artificial Intelligence Conference San Francisco 84/114

Artificial Intelligence Conference San Francisco 84/114


Joy Qiao
Senior Solution Architect, Microsoft

Joy Qiao is a senior solution architect in the Algorithms and Data Science group at Microsoft, where she is responsible for driving end-to-end big data analytics and machine learning solution architectures among the partner ecosystem. Joy has over 15 years of IT industry experience, including 11 years at Microsoft working as technical lead and architect roles on various Microsoft Azure teams and as a senior consultant and architect on the Microsoft Services team. Joy has mainly focused on Microsoft Azure and big data technologies, leading and delivering various Microsoft Azure and large-scale big data, data warehousing, and business intelligence solutions for both internal and external MS enterprise customers and partners.

Sessions

4:00pm–4:40pm Wednesday, September 20, 2017
Using deep learning toolkits with Kubernetes clusters
Implementing AI
Location: Grand Ballroom
Level: Beginner
Secondary topics:  Data science and AI, Deep learning
Wee Hyong Tok (Microsoft), Joy Qiao (Microsoft)
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.