India wants to lead the world in AI use cases, according to Nandan Nilekani

India wants to lead the world in AI use cases, according to Nandan Nilekani

Nilekani said that India would make technology accessible to everyone, calling those who propagate AI apocalypse scenarios protectionists.

The creator of Aadhaar and cofounder/chairman of Infosys, Nandan Nilekani, said that India is not engaged in a race to develop Large Language Models (LLMs) and would instead concentrate on developing AI use-cases that will benefit all of its citizens.

"The AI path in India is distinct. We are not engaged in an arms race to create the next LLM; instead, let those with money and those who like to peddle ships handle such tasks. Our goal is to put this technology in the hands of individuals because we want to make a difference," he said.

'Making an Adbhut India' was the topic of Nilekani's speech at a People+AI event held in Bengaluru on May 7. What can population-scale AI unleash for India? was the subject of his speech.

People+ai, a project of the nonprofit EkStep Foundation, made an announcement on the opening of its Open Cloud Compute (OCC) project during this event. In order to meet the increasing need for AI infrastructure, OCC seeks to create an open network for computing resources.

Nilekani continued, saying that instead of waiting for the next $10 trillion plan, India can employ the technology that is now accessible to address problems with its billion-person population.

His remarks are made in the midst of the global race to introduce LLMs and keep up with AI developments. "Experimentation at scale by startups, by government, and business community will help us go up in terms of adoption and application."

Nilekani made fun of AI enthusiasts and businesses that discuss AI and its potential for extinction by stating, "We won't tolerate protectionists or doomsday propagaters here. will allow everyone to access tech."

According to Pramod Verma, chief technology officer of the Nandan Nilekani-backed EkStep Foundation, "OCC was developed as a way to bring many micro data centers/micro computing environments/micro resource providers on an integrated network powered by common operability and discoverability."

Sesame, which the fintech startup Setu says is India's first LLM created especially for the banking, financial services, and insurance industries, was introduced during the occasion. It is being referred to as the "ChatGPT Moment" in the financial services industry and was created in partnership with the local AI research company Sarvam AI.

Furthermore, the Ayushman Bharat Digital Mission (ABDM)-developed personal health records app Driefcase presented the results of a pilot survey it conducted to show how it uses the Jan Ki Baat AI framework to gather qualitative patient feedback from a government-run hospital in Kanpur. The ABDM Scan & Share module, which attempts to shorten hospital patient wait times, was the subject of the study.

The first AI speech assistant in India, STAGE, is a different startup that debuted on their over-the-top (OTT) platform and speaks Haryanvi. With more than 1.2 million paying members, STAGE, an entertainment platform for regional Indian cultures that caters to the Haryanvi and Rajasthani traditions, has lately generated a profit.

The diffusion-based AI model BharatDiffusion v2, created by Rahul Deora, machine learning lead at Fynd, aims to produce visuals that accurately depict Indian culture. It can create realistic and high-quality images since it has been trained on a vast collection of Indian photographs.

The introduction of "JOHNAIC," a personal AI server created by Von Neumann AI, was another highlight of the day. This "cloud in a box" approach, which requires a one-time investment, promises to reduce AI expenditures by 85%. Additionally, it has built-in AI and SaaS technologies for managing startups and SMEs.

According to People+AI, it is JOHNAIC's first client and uses it for its own AI needs while protecting the privacy of its data.