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PUT AI TO WORK
June 18-21, 2019
Beijing, CN
Yang Wang

Yang Wang
Machine Learning Engineer, Intel

Yang Wang is a machine learning engineer on the data analytics team at Intel, focusing on deep learning infrastructure, algorithms, and applications. He’s one of the core contributors of Analytics Zoo and BigDL.

Yang Wang是英特尔数据分析团队的机器学习工程师,专注于深度学习基础架构、算法和应用。他是Analytics Zoo和BigDL的核心贡献者之一。

Sessions

09:0012:30 Wednesday, June 19, 2019
实施人工智能 (Implementing AI)
Location: 多功能厅5C(Function Room 5C)
Zhichao Li (Intel), Kai Huang (Intel), Yang Wang (Intel)
Zhichao Li, Kai Huang, and Yang Wang show you how to build and productionize deep learning applications for big data using Analytics Zoo—a unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline—illustrated though real-world use cases from JD.com, MLSListings, the World Bank, Baosight, and Midea/KUKA. Read more.
11:1511:55 Friday, June 21, 2019
实施人工智能 (Implementing AI)
Location: 报告厅(Auditorium)
Yang Wang (Intel)
Building a model is fun and exciting; putting it to production is a different story. Yang Wang offers an overview of Analytics Zoo, a unified analytics and AI platform for distributed TensorFlow, Keras, and BigDL on Apache Spark, designed for production environments. See how you can benefit from its easy deployment, high performance, and efficient model serving for deep learning applications. Read more.