New technologies to enhance ease of doing work, create jobs, asserts VP Radhakrishnan

Vice President CP Radhakrishnan on Friday said new technologies will enhance ease of doing work and help create more jobs.

While launching end-to-end sovereign AI stack for Indian enterprises and public institutions, Gnani Artha, the Vice President, said concerns over job loss were raised when computers were introduced in the country, instead the IT industry has turned out to be the biggest job creator not only within the country but overseas as well.

He said that even many highly qualified people are raising concerns about a reduction in jobs due to Artificial Intelligence.

“The more technology comes in, the more ease of work will come. That will create more jobs. Bharat has undergone significant transformation in almost every sector, including AI, in the past 12 years,” he said.

Radhakrishnan said reverse migration has started taking place now. People are coming back to the country and bringing new technologies that they have learnt over the years.

Digital Sansad has started using AI to translate Parliamentary debates and papers available in multiple Indian languages, he said, adding that AI has tremendous scope.

Talking about Gnani Artha, Radhakrishnan said it is a part of a larger national journey towards self-reliance.

"May this initiative contribute to building a stronger, more self-reliant and technologically empowered India. That is my wish," he said.

Gnani Artha is backed by the government's India AI Mission to develop sovereign AI technology.

The Vice President unveiled Gnani Evon v3.3 - a 30-billion-parameter open-weights model trained natively across 11 Indian languages - and Gnani Plexus, the company's agentic AI platform.

Gnani co-founder and CEO Ganesh Gopalan said the reasoning model Gnani Evon v3.3 is an open-source model, which has already started seeing traction from enterprise clients in banking, finance and insurance sectors, as well as retail segment players.

"We are offering Indic language capability at the lowest possible cost. The terminology that we used was Indic language capability on a cost-per-compute basis. That is where we score much better than any other model in the market. Our models consume 40 per cent fewer tokens, indirectly, it's a 40 per cent cost saving for these companies," he said.

Gopalan said models launched by the Vice President will take the company to the next step of launching vertical-specific AI engines and speech-to-speech translation models.