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

统一大数据分析和人工智能从而更快地大规模洞察(Unifying analytics and AI on big data for faster insights at scale)

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

08:5009:05 Thursday, June 20, 2019
Location: 紫金大厅A(Grand Hall A)

The business imperative for AI is firmly rooted in data. Data is the currency of the future, as it contains extremely valuable insights that will transform business, operations, security, and experiences across all industries. Harnessing greater and faster insights from data at scale requires a holistic and comprehensive data strategy that takes advantage of modern data-centric infrastructure advancements coupled with new open source software innovations that seamlessly unify advanced analytics with AI technologies.

Ziya Ma walks you through Intel’s scalable data insights strategy and related big data analytics and AI technologies such as Analytics Zoo—an end-to-end analytics and AI pipeline for developing full solutions with Apache Spark on Intel Xeon and Intel Optane DC Persistent Memory at scale. She highlights customers use cases and collaboration with industry leaders throughout.

人工智能的业务需求牢牢地根植于数据。数据是未来的货币,因为它包含着极有价值的洞察,将改变所有行业的商务、运营、安全和用户体验。想充分利用大规模数据来获取更多更快的洞察力,需要一个整体和全面的数据战略。这个战略可以充分利用现代的以数据为中心的基础架构以及可以将先进的分析技术与人工智能技术无缝地统一起来的开源软件创新。

在本演讲中马子雅会带你了解英特尔的可扩展数据洞察战略和相关的大数据分析与人工智能技术,例如Analytics Zoo。Analytics Zoo是一种端到端的数据分析和人工智能管道,可用于在Intel Xeon和Intel Optane DC Persistent Memory闪存上使用Apache Spark开发完整的解决方案。她会重点介绍客户应用案例以及与各行业领导者的合作。

Photo of 马子雅 (Ziya Ma)

马子雅 (Ziya Ma)

Intel

Ziya Ma is the vice president of architecture, graphics, and software as well as a director of data analytics technologies in system software products at Intel. She’s 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 and AI experiences for customers. Her team works across Intel, the open source community, industry, and academia to further Intel’s leadership in big data analytics. Ziya is a cofounder of the Women in Big Data Forum. At the 2018 Global Women Economic Forum, she was honored as Women of the Decade in Data and Analytics. She holds a master’s degree and PhD in computer science and engineering from Arizona State University.

马子雅是英特尔架构、图形和软件副总裁,以及英特尔系统软件产品部的数据分析技术总监。她主要负责优化英特尔架构平台上的大数据解决方案,领导在Apache社区开展的开源工作,并为客户带来最佳的大数据分析和人工智能体验。她的团队参与了英特尔内部、开源社区、工业界和学术界的工作,以进一步巩固英特尔在大数据分析领域的领导地位。马子雅是“女性在大数据”论坛的联合创始人。在2018年全球妇女经济论坛上,她获得“近10年杰出的数据与分析女性”的荣誉。马子雅在亚利桑那州立大学获得了计算机科学与工程专业的硕士和博士学位。