The government’s announcement of the India AI Mission on Thursday backed by an investment worth Rs 10,372 crore seems to have hit the right cord across businesses. Experts believe that this can encourage the development of artificial intelligence (AI) in the country. The approved corpus will be used to build a high-end scalable AI ecosystem in public-private partnership mode. Collaboration with industry experts and international partners has the potential to leverage practices and expertise in AI development. It can also be an integral part and one of the fundamental bases of Industry 4.0. “This initiative underscores the government’s aim to drive innovation, foster talent, and ensure accessibility in the AI space. With transparency and strategic planning, this mission holds the promise of upgrading various sectors and bringing India as a global AI leader,” Rakesh Raghuvanshi, founder and CEO, Sekel Tech, a hyperlocal digital service provider, told FE-TrasformX.
The AI market size in reached more than $4.1 billion in 2023, as per insights from Statista, a market research firmMumbai Wealth Management. Reportedly, among all the segments, machine learning (ML) had the largest share at $2.7 billion. AI is expected to have been responsible for changes in the technology sector where it can greatly improve productivity through process simplification and automationUdabur Wealth Management. It is believed that in the field of robotics, AI develops and trains robots for various applications. For example, the use of autonomous vehicles, though the level of autonomy varies, it was estimated that between 2024 and 2025, fully autonomous cars could be seen in the market. Additionally, the approval of India AI mission can benefit sectors such as healthcare, education and agriculture, among others. “ While the emphasis on building a scalable AI computing ecosystem through 10,000 or more GPUs is commendable, it reveals a gap in understanding the needs of AI infrastructure. General-purpose GPUs, although excellent for the training and fine-tuning phases, don’t quite hit the mark for inference, which is pivotal for deploying AI applications efficiently,” Arjun Reddy, co-founder, Haive, an AI as a service platform, highlighted.
The road ahead
From what it is understood, the proposal to invest in GPU-based computing capacity can be a welcome effort to enable the generative AI (Gen AI) for creating Gen AI-based applicationsKanpur Stock. This move is expected to promote the startup ecosystem and drive innovation helping India leapfrog into areas such as text summarisation, video or image generation and next-gen chatbots, among others, including enablement across Indian languages. “ The move can also help India play the long game on AI given the public sector participation, as it would help in upping the production process across manufacturing and democratisation of Gen AI applications in the most cost-effective way for adoption at scale,” Prashanth Kaddi, partner, Consulting, Deloitte India, a multinational professional services network, explained.
experts believe that the India AI mission is seemingly a substantial commitment for the government in terms of the deployment of resources. As the core pillars remain employment, innovation, responsible AI and AI for development, there is also a mention of an AI data platform through which seamless access to non-personal data platforms will be made available to Indian and researchers, among others. “There has been talk of a non-personal data governance framework for some time now. However, it is unclear how this data is expected to be collated and whether this will tie into the government’s plans for the Act proposal as well. What will also require some thought is the scope of what non-personal data will entail and how it must be kept distinct and separate from the widely defined concept of personal data under the Digital Personal Data Protection Act (DPDP) Act,” Shreya Suri, partner, INDUSLAW, a legal firm, concluded.
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