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    Council Post: Empowering Gen AI Teams: Frameworks for Continuous Adaptation and Leveraging Success

    Empowering Gen AI teams with frameworks for continuous adaptation and leveraging success is essential in today's rapidly evolving technological landscape.

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    Council Post: Empowering Gen AI Teams: Frameworks for Continuous Adaptation and Leveraging Success

    Empowering Gen AI teams with frameworks for continuous adaptation and leveraging success is essential in today's rapidly evolving technological landscape. By providing Gen AI, the next generation of AI-savvy individuals, with the tools, knowledge, and support to adapt and build upon existing successes, we ensure that innovation remains at the forefront of our ever-changing world.

    To dwell more on this we had a roundtable discussion on the agenda; “Empowering Gen AI Teams: Frameworks for Continuous Adaptation and Leveraging Success.” The session was moderated by Maharaj Mukherjee, Senior Vice President and Senior Architect Lead at Bank of America with panelists Sreenivas Gadhar, Vice President, Global Data and Analytics - Engineering and Delivery at Marsh McLennan, Avijit Chatterjee, Head of AI/ML and NextGen Analytics at Memorial Sloan Kettering Cancer Center, Rachael Chudoba, Senior Strategist, Planning & Research at Performance Art, Arvind Balasundaram, Executive Director, Commercial Insights & Analytics at Regeneron Pharmaceuticals and Abhay Mitra, Co-Founder & CTO at Nirvana Insurance.

    Navigating the Gen AI Experimentation Landscape in Industry

    Organizations have started experimenting with Gen AI internally and have created internal engines. They are experimenting with simple use cases, such as documenting meeting notes, summarizing documents, and identifying their contents. This is particularly valuable when dealing with large terms and conditions documents - especially with fine prints - will be useful to provide improved customer experience. I foresee more use cases emerging in the Property and Casualty (P&C) insurance industry.

    In the healthcare and insurance sectors, the confidentiality and ethical behavior of Gen AI models will be of utmost importance. There have been issues in the insurance industry regarding underwriting, pricing, claims adjudication due to biases in the AI models.

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