Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Jiao(Jennie) Wang

Jiao(Jennie) Wang
Software Engineer, Intel

Jiao (Jennie) Wang is a software engineer on the big data technology team at Intel, where she works in the area of big data analytics. She’s engaged in developing and optimizing distributed deep learning framework on Apache Spark.

Jiao(Jennie)Wang是英特尔大数据技术团队的软件工程师,主要工作在大数据分析领域。她致力于基于Apache Spark开发和优化分布式深度学习框架。

Sessions

1:30pm5:00pm Tuesday, March 26, 2019
Jason Dai (Intel), Yuhao Yang (Intel), Jiao(Jennie) Wang (Intel), Guoqiong Song (Intel)
Average rating: ***..
(3.00, 6 ratings)
Jason Dai, Yuhao Yang, Jennie Wang, and Guoqiong Song explain how to build and productionize deep learning applications for big data with Analytics Zoo—a unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline—using real-world use cases from JD.com, MLSListings, the World Bank, Baosight, and Midea/KUKA. Read more.
3:50pm4:30pm Thursday, March 28, 2019
Secondary topics:  Data Platforms, Deep Learning
Yuhao Yang (Intel), Jiao(Jennie) Wang (Intel)
Average rating: **...
(2.67, 3 ratings)
Yuhao Yang and Jennie Wang demonstrate how to run distributed TensorFlow on Apache Spark with the open source software package Analytics Zoo. Compared to other solutions, Analytics Zoo is built for production environments and encourages more industry users to run deep learning applications with the big data ecosystems. Read more.