Intel India Eyes Al Opportunities, Plans To Develop Ecosystem
DataQuest|July 2017

Artificial Intelligence (AI) is the cutting edge in technology. It is fast getting mainstream and coming out of the confines of science fiction. The onset of AI-based technology in India is evident in the sectors of e-commerce and research, where entities that are already using data analytics, are now looking to explore AI

Ed Nair
Intel India Eyes Al Opportunities, Plans To Develop Ecosystem
I got great perspectives on the potential of AI at Intel’s AI Day at Bangalore recently. I also got to know the various parts that make up AI and why it is so complex.

At Intel AI Day, the company deep dived into its global AI strategy, and highlighted how it is working with the ecosystem in India to improve solution performances on Intel’s AI platforms.

Prakash Mallya, Managing Director, Intel South Asia, said, “As India undergoes rapid digital transformation, the data center and the intelligence behind the data collected will enable the government and industry to make effective decisions based on algorithms. This means increasing opportunities for using AI in the country, and to make this happen, Intel India is collaborating with Hewlett Packard Enterprise, Wipro, Julia Computing, and Calligo Technologies, by enabling them with AI solutions based Intel architecture.”

INTEL IN AI

 AI is the fastest growing workload in the data center, growing at two times the overall computing market. By 2020, the industry expects more servers running data analytics than any other workload, and analytics predictors will be built into every application. Staying ahead of this curve, Intel announced its AI strategy last year to drive breakthrough performance, democratize access and maximize societal benefits.

Today, Intel powers 97 percent of data center servers running AI workloads and offers the most flexible, yet performance-optimized portfolio of solutions. Backed by its unified approach to AI, Intel is leading the AI Computing era through its end-to-end hardware and software that is designed for building AI applications across virtually any industry.

This story is from the July 2017 edition of DataQuest.

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This story is from the July 2017 edition of DataQuest.

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