Sep 9–12, 2019
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Ananth Sankaranarayanan

Ananth Sankaranarayanan
Senior Director, AI Technical Acceleration and Scaling, Intel


Ananth Sankaranarayanan is a senior director of AI technical acceleration and scaling at Intel, where he’s responsible for leading a worldwide team that enables customers and partners to build AI solutions with the maximum benefit of Intel hardware and software capabilities. Previously, he led the creation of the big data analytics solutions team and championed multiple high-growth industry-first solutions in intelligent transportation, healthcare, retail, and financial services segments and drove them to a worldwide scale. Ananth won the “Intel Achievement Award,” the highest employee recognition, for his transformative work in the creation of high-performance computing (top 500 supercomputer) production capability to accelerate silicon design and manufacturing. Ananth earned his bachelor’s of engineering in computer science and his master’s degree in business administration from the City University of Seattle. Ananth is a strong supporter of improving education, and as a portion of his volunteer work, he coaches middle and high school robotics and STEM teams who have won national-level recognitions for engineering and teamwork. Ananth holds two patents and has coauthored more than 10 publications and a book, AI for Autonomous Networks, the proceeds of which go to the Girls Who Code nonprofit organization.


1:40pm2:00pm Tuesday, September 10, 2019
Location: 230 A
Many industries embrace new ways to extract meaningful value from their data to offer differentiated services. Ananth Sankar explores a framework for building analytics and AI applications on top of your data platform. He dives into implementation choices and specific examples of how you can take advantage of Intel AI hardware and software capabilities at scale to deliver business value. Read more.
9:30am9:40am Thursday, September 12, 2019
Location: Hall 2
Average rating: ***..
(3.00, 5 ratings)
Ananth Sankaranarayanan discusses three key shifts in the AI landscape—incredibly large models with billions of hyperparameters, massive clusters of compute nodes supporting AI, and the exploding volume of data meeting ever-stricter latency requirements—how to navigate them, and when to explore hardware acceleration. Read more.
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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