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Kunal Jain

Founder & CEO

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Kunal Jain is the Founder & CEO of Analytics Vidhya, India’s largest Analytics and Data Science community. He has spent over 17 years in the data science field. His experience in leading and delivering data science projects ranges from mature markets like the United Kingdom to developing markets like India. Kunal is a renowned data science and AI figure who has helped countless individuals achieve their data science aspirations through his unique and unparalleled vision. Before starting Analytics Vidhya, he did his graduation & post-graduation from IIT Bombay and has worked with companies like Capital One & Aviva Life Insurance across different geographies.

As India stands on the brink of a technological revolution, the potential for Generative AI (GenAI) to reshape industries and society is immense. This fire-side chat brings together two visionary leaders who have been instrumental in the country’s technological and educational advancements: Srikanth Velamakkani, Co-founder, Group Chief Executive & Vice-Chairman of Fractal, and Rajendra Singh Pawar, Chairman & Founder of NIIT Group. The panel will be moderated by Kunal Jain, Founder & CEO - Analytics Vidhya.

The discussion aims to identify the key levers and initiatives needed for building the next-generation GenAI ecosystem in India. We would discuss the diverse thoughts and perspectives form the leaders in front of the community.

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A lively community discussion among the community enthusiasts around GenAI. 

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

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