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December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Jason (Jinquan) Dai

Jason (Jinquan) Dai
CTO, Big Data Technologies, Intel


Jason (Jinquan) Dai is a senior principal engineer and CTO of big data technologies at Intel, where he is responsible for leading the global engineering teams (located in both Silicon Valley and Shanghai) on the development of advanced big data analytics (including distributed machine and deep learning), as well as collaborations with leading research labs (e.g., UC Berkeley AMPLab and RISELab). Jason is an internationally recognized expert on big data, cloud, and distributed machine learning; he is the program cochair of the O’Reilly AI Conference in Beijing, a founding committer and PMC member of Apache Spark, and the creator of BigDL, a distributed deep learning framework on Apache Spark.


11:15am–11:55am Thursday, December 8, 2016
Data science and advanced analytics
Location: Summit 2 Level: Intermediate
Jason (Jinquan) Dai (Intel), Yiheng Wang (Intel)
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Jason Dai and Yiheng Wang share their experience building web-scale machine learning using Apache Spark—focusing specifically on "war stories" (e.g., in-game purchase, fraud detection, and deep leaning)—outline best practices to scale these learning algorithms, and discuss trade-offs in designing learning systems for the Spark framework. Read more.