November 30, 2019

160 words 1 min read

Accelerating analytics and AI from the edge to the cloud (sponsored by Intel)

Accelerating analytics and AI from the edge to the cloud (sponsored by Intel)

Advanced analytics and AI workloads require a scalable and optimized architecture, from hardware and storage to software and applications. Kevin Huiskes and Radhika Rangarajan share best practices for accelerating analytics and AI and explain how businesses globally are leveraging Intels technology portfolio, along with optimized frameworks and libraries, to build AI workloads at scale.
Talk Title Accelerating analytics and AI from the edge to the cloud (sponsored by Intel)
Speakers Kevin Huiskes (Intel), Radhika Rangarajan (Intel)
Conference Strata Data Conference
Conf Tag Big Data Expo
Location San Jose, California
Date March 6-8, 2018
URL Talk Page
Slides Talk Slides
Video

Advanced analytics and AI workloads require a scalable and optimized architecture, from hardware and storage to software and applications. Kevin Huiskes and Radhika Rangarajan share best practices for accelerating analytics and AI and explain how businesses globally are leveraging Intel’s technology portfolio, along with optimized frameworks and libraries, to build AI workloads at scale. This session is sponsored by Intel.

intel framework ai analytics cloud scalable hardware
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