January 22, 2020

238 words 2 mins read

(Unifying analytics and AI on big data for faster insights at scale)

(Unifying analytics and AI on big data for faster insights at scale)

Ziya Ma walks you through Intels scalable data insights strategy and related big data analytics and AI technologies such as Analytics Zooan 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.

Talk Title (Unifying analytics and AI on big data for faster insights at scale)
Speakers 马子雅 (Ziya Ma) (Intel)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location Beijing, China
Date June 19-21, 2019
URL Talk Page
Slides Talk Slides
Video

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。

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