O'Reilly、Cloudera 主办
Make Data Work
2017年7月12-13日:培训
2017年7月13-15日:会议
北京,中国

英特尔技术加速实现分析与人工智能的未来 - 英特尔赞助 (Accelerating the future for analytics and AI with Intel technologies—sponsored by Intel)

此演讲使用中文 (This will be presented in Chinese)

09:35–09:45 Friday, 2017-07-14
赞助商赞助 主题演讲 (Sponsored Keynote)
地点: 紫金大厅A(Grand Hall A)
平均得分:: **...
(2.00, 1 次得分)

英特尔已经变成了一个数据公司,致力于加快分析和人工智能的创新周期,并迎来一个更好的世界。

本主题将突出英特尔多方面的努力:大数据技术借助民主化进程,通过广泛的产品组合而整合生态系统;通过新的高度优化的AI解决方案的贡献,推进创新;并释放智慧以解决世界上最大的挑战,同时提供给客户最大的商业价值。

子雅也将分享以软件对英特尔硬件进行优化的最新结果,BigDL(英特尔主导的开源的基于Apache Spark的深度学习框架)的最新进展,以及不同客户的使用案例。


Intel has transformed into a data company and is committed to accelerating the analytics and AI innovation cycle to usher in a better world. Ziya Ma discusses Intel’s efforts in democratizing big data technologies through a broad product portfolio with a holistic ecosystem, advancing innovation through contributions of new, highly optimized AI solutions and unleashing intelligence to solve the world’s biggest challenges while delivering maximum business value for the customers. Ziya also shares results of the newest software optimization for the latest Intel hardware and provides updates on BigDL, the Intel-led open source deep learning framework for Apache Spark, as well as various customer use cases.

Photo of 马子雅 (Ziya Ma)

马子雅 (Ziya Ma)

Intel

Ziya Ma is vice president of the Software and Services Group and director of Data Analytics Technologies at Intel, where she is responsible for optimizing big data solutions on the Intel architecture platform, leading open source efforts in the Apache community, and bringing about optimal big data analytics experiences for Intel customers. Her team works extensively with internal product teams, the open source community, the industry, and academia to further Intel’s efforts in the big data analytics field. She is also a cofounder of the Women in Big Data forum. Ziya was honored as one of the “women of the decade in data and analytics” by the Women Economic Forum in 2018. Ziya holds a PhD and MS in computer science and engineering from Arizona State.

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