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
Jason Dai

Jason Dai
Senior Principal Engineer, Intel

Jason Dai is a senior principal engineer and chief architect for big data technologies at Intel, where he leads the development of advanced big data analytics, including distributed machine learning and deep learning. Jason is an internationally recognized expert on big data, the cloud, and distributed machine learning; he is the cochair of the Strata Data Conference in Beijing, a committer and PMC member of the Apache Spark project, and the chief architect of BigDL, a distributed deep learning framework on Apache Spark.


2:35pm–3:15pm Tuesday, September 19, 2017
Implementing AI
Location: Imperial B Level: Intermediate
Secondary topics:  Data science and AI, Deep learning, Tools and frameworks
Jason Dai (Intel), Ding Ding (Intel)
Jason Dai and Ding Ding offer an overview of BigDL, an open source distributed deep learning framework built for big data platforms. By leveraging the cluster distribution capabilities in Apache Spark, BigDL successfully unleashes the power of large-scale distributed training in deep learning, providing good performance, efficient scaling on large clusters, and good convergence results. Read more.