New Delhi: 7 working groups affiliated with the Ministry of Electronics and Information Technology (MeitY) have submitted the inaugural edition of the IndiaAI report. The report was formally presented to Rajeev Chandrasekhar, Union Minister of State for Skill Development & Entrepreneurship and Electronics & IT. He stated that this report is intended to act as India’s comprehensive roadmap for the advancement of its AI ecosystem.
On this occasion, the Minister said, ‘After months of dedicated research, the seven working groups that were constituted to build the core goals of the IndiaAI program, have submitted their formal report today. This comprehensive report lays out what will be the fulcrum of the IndiaAI strategy that was envisaged by the Prime Minister. He had talked about India for AI and AI for India. Through this roadmap IndiaAI will work to be a kinetic enabler of the 1 trillion dollar digital economy.’
Further he highlighted how IndiaAI will not only catalyse and support the startup and entrepreneurship ecosystem but also other areas like that of India datasets program and India AI Compute Platform.
‘Apart from supporting startups and providing skilling programs, the India AI program will comprise several key components. One crucial component will be that of India Datasets Platform, which will be one of the largest collections of anonymized datasets that will be used by Indian researchers to train their multi parameter models. Then there will be the India AI Compute Platform, a public-private partnership project that will create substantial GPU (Graphics processing unit) capacity for our startups and researchers. In addition to skilling, India AI will also support the development of AI chips in partnership with the Semicon India program,’ the Minister further added.
Key highlights of Report
- The working groups meticulously outlined the operational aspects of establishing Centers of Excellence (CoEs), as well as the institutional framework governing data collection, management, processing, and storage by the National Data Management Office (NDMO).
- The report also offers recommendations on how India can capitalize on its demographic advantage and harness its potential as a leading IT powerhouse to drive the adoption of AI skills in the country.
- Additionally, it emphasizes the need to enhance the AI computational infrastructure in India through strategic public-private partnerships (PPPs) to foster innovation in AI.
- The report presents recommendations for the Design Linked Incentive (DLI) Scheme, which seeks to provide financial incentives and design infrastructure support to domestic companies, start-ups, and MSMEs.
The Indian Government has implemented a comprehensive and ambitious approach towards artificial intelligence, exemplified by the broad range of interventions carried out under the IndiaAI program.
IndiaAI has a mission-centric approach, ensuring a precise and cohesive strategy to bridge the gaps in the existing AI ecosystem including Compute infrastructure, Data, AI financing, Research and Innovation, targeted Skilling, and institutional capacity for Data. The aim is to maximize the potential of AI for advancing India’s progress.
The purpose of this exercise was to conduct a comprehensive analysis of all the pillars of IndiaAI and to determine specific actionable steps that need to be taken to achieve the objective of “AI for all”.
Minister Rajeev Chandrasekar has officially announced the introduction of the inaugural Global India AI Summit, scheduled for December 2023. This notable event is in alignment with Prime Minister Modi’s visionary concept of “India for AI and AI for India.”
Announcing the Minister said, ‘Global India AI summit will be held on 10th December 2023 where influential leaders and participants will join from the AI and the overall tech ecosystem. Our approach towards AI is not about following a trend, we have a deep rooted belief and commitment that AI is going to be a kinetic enabler of our 1 trillion dollar economy goal. It will also create deep capabilities within our startup and research ecosystem, in terms of real life AI use cases that we want to develop. I think this is a good launching pad for us to develop an overall comprehensive framework for policy, financing and resources.’
