Council Post: Data Privacy and Vendor Trust in the Age of Gen AI

As generative AI technologies like large language models (LLMs) become more prevalent, organizations across industries are grappling with how to leverage their potential while mitigating risks around data privacy, compliance, and intellectual property. The rise of powerful AI systems that can generate human-like text, code, and other content have opened up new opportunities but also raised critical concerns. To explore strategies for responsibly adopting generative AI while protecting sensitive data and proprietary models, we convened a roundtable of distinguished experts and industry leaders. Our panelists included Sreenivas Gadhar, Vice President, Global Data and Analytics - Engineering and Delivery at Marsh McLennan, Arjun Srinivasan, Director - Data Science at Wesco, Elanchezhiyan (