Intel India is working on a technology architecture to protect AI models and data, while India is developing a regulatory framework under the Digital Personal Data Protection (DPDP) regime, the company’s CEO Gokul Subramaniam said on Friday.
“Data privacy starts with policy, but from an Intel perspective, it’s also a matter of the technology we can deploy to secure our models and data,” Subramaniam told ANI, citing sensitive computing capabilities built into Intel’s architecture.
Subramaniam was speaking on the sidelines of an event focused on the adoption of AI in India, which brought together academia, policy makers and private sector companies to discuss how artificial intelligence can improve, empower and enrich society.
He said Intel’s key priority in India is to provide a heterogeneous affordable computing platform, rather than a single standardized solution, to address India’s diverse requirements across cloud data centers, networks, edge devices and personal computers. Edge inference, where AI models are run locally on the device, could help scale AI applications across India’s large population, he added.
Subramaniam also highlighted the digital divide in education, saying that in India there is a conservative estimate of an “alarming” ratio of about one computer for every 100 students. He said Intel aims to expand access to computing and enable students to move beyond content consumption to creation and innovation, in line with the National Education Policy (NEP) vision of interdisciplinary and creative learning.
On the government’s ‘Make in India’ and ‘Atmanirbhar Bharat’ initiatives, Subramaniam said Intel is working closely with Indian startups, original design manufacturers (ODMs), universities and independent software vendors to strengthen the AI ​​and hardware ecosystem in the country.
Intel also said it is looking forward to the AI ​​Impact Summit in February, where it will showcase end-to-end AI computing capabilities from data centers and cloud infrastructure to networks, edge devices and personal computers.
Subramaniam said AI has moved from hype to reality faster than previous technologies, but faces challenges such as choosing the right model for a particular industry, determining deployment strategies and ensuring reliable output.
He praised the government’s initiatives such as Anusandhan National Research Foundation (ANRF), Research, Development and Innovation (RDI) programme, incentive schemes such as Production Linked Incentive (PLI) and Design Linked Incentive (DLI), skilling programmes, and said these are laying a strong foundation for India’s AI ecosystem.
“It’s a great time for India as government-led incentives and initiatives are really boosting the industry as a whole,” Subramaniam said.
