Harichandan Arakali

1 week ago | forbesindia.com | Harichandan Arakali

“Now with the combination of what we are already doing with deterministic (rule-based) automation, generative AI and agents, we are excited about what we can do to re-engineer processes and drive significant value beyond cost.”This improves Infosys’s ability to help its clients in creating new growth opportunities, he says. In this regard, Infosys has built more than 100 AI agents, ready to be deployed based on different client scenarios.

1 week ago | forbesindia.com | Harichandan Arakali

Sarvam’s selection to build the sovereign LLM under the IndiaAI Mission brings it access to some 4,000 Nvidia H100 GPUs for training its models for six months. The startup is waiting to get this resource, while stepping up its own preparations. Thus far, Sarvam’s releases include Sarvam-1, which is an original, built-from-scratch model, supporting 10 Indian languages, and Sarvam-M, its current flagship, built on top of Mistral Small, a model developed by the Paris-based company Mistral AI.

1 week ago | forbesindia.com | Harichandan Arakali

When AI4Bharat started, LLMs had not arrived on the scene yet, and the research lab’s “focus was on four verticals: Machine translation, speech recognition, speech synthesis, and optical character recognition or document parsing,” Khapra says. “So, we were given the task of collecting data for all of these so that models can be trained.”In addition to Bhashini, a `36 crore grant from the Nilekani Philanthropies in 2022 also helped AI4Bharat double down on its work.

2 weeks ago | forbesindia.com | Harichandan Arakali

Emmanuel, an electronics and communications engineer by training, with an MBA from Indian School of Business, brought some 15 years (in 2019) of global experience in health care management, technology and policy. She had experience in operating system design, public health and health care business. They were a good match to try and build a platform that would bridge cutting-edge neuroscience and clinical practice.

2 weeks ago | forbesindia.com | Harichandan Arakali

This isn’t about summarisations or creating drafts. This is about raising the quality of work of an individual and eventually the organisation. In the context of software engineers, can AI recommend better architecture, or what kinds of test cases to prioritise? Or in the case of training or upskilling, can AI recommend the most relevant skill to immediately focus on? This is where the industry is headed, Vin says. “This is important because there is a big gap between average and elite,” he says.