IndiaAI Report released by MeitY

IndiaAI has a mission-centric approach which ensures a precise and cohesive strategy to bridge the gaps in existing AI ecosystem viz-a-viz Compute infrastructure, Data, AI financing, Research and Innovation, targeted Skilling and institutional capacity for Data to maximize the potential of AI for advancing India’s progress.

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. 

Seven working groups of Ministry of Electronics and Information Technology (MeitY) submitted the first edition of IndiaAI report. The working groups detailed out the operational aspects of establishing Centers of Excellence (CoEs), and the institutional framework on governing data collection, management, processing and storage by the National Data Management Office (NDMO). The report also has recommendations on how India can leverage its demographic dividend and play to its strengths as an IT superpower to further the penetration of AI skills in the country, strengthening of the AI compute infrastructure in India to support the AI innovation through public-private partnerships (PPPs).

The report provides the recommendations on Design Linked Incentive (DLI) Scheme that aims to offer financial incentives as well as design infrastructure support to domestic companies and start- ups/ MSMEs.

The objective of this exercise was to undertake a comprehensive study of all the pillars of IndiaAI and to identify tangible next action items that need to be worked on to achieve the goal of “AI for all”.

Source : PIB