Jason Dai, Sr. Principle Engineer at Intel

Jason Dai

Sr. Principle Engineer, Intel

Jason is currently a Sr. Principle Engineer and Chief Architect of Big Data Technologies at Intel, leading the development of advanced Big Data analytics (incl. distributed machine learning and deep learning). He is an internationally recognized expert on big data, cloud and distributed machine learning; he is the co-chair of Strata Data Conference Beijing, a committer and PMC member of Apache Spark project, and the chief architect of BigDL project (https://github.com/intel-analytics/BigDL/), a distributed deep learning framework on Apache Spark.


BigDL: Bringing Ease of Use of Deep Learning for Apache Spark

BigDL is a distributed deep learning framework for Apache Spark open sourced by Intel. BigDL helps make deep learning more accessible to the Big Data community, by allowing them to continue the use of familiar… Read more

BoF Discussion-Deep Learning on Apache Spark

There are increasing interest and applications for running deep learning on Apache Spark platform (e.g., BigDL, TensorFrames, Caffe/TensorFlow-on-Spark, etc.) in the community. In this BoF discussion, we would like to cover related topics such as…