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Generative AI’s transformation of knowledge work is happening at a scale comparable to that of industrial processes in the last century with robotic automation. But unlike the industrial revolution, this transformation is fast, inexpensive and bottoms-up as evidenced by the 200+M monthly active Chat-GPT users. This is drawing a new baseline for enterprises with respect to design, IP and knowledge work intensifying both innovation and competition amongst them. Generative AI’s shockwaves have already reached most enterprise IT and business systems with software and SaaS vendors feverishly integrating existing large language models (LLMs) or rolling out their own models. It is also profoundly impacting career paths of knowledge workers and management, who will need to realign skills and competencies to complement the fast-growing capabilities of generative AI. This past eight months have caught most enterprises off-guard and have forced them to attempt pausing or restricting applications of generative AI till they figure out an adoption strategy. Aside from the external risks of hallucinations, IP/data leakage and unethical biases, enterprises are also grappling with internal challenges of realigning IT systems, business processes and people for the post generative AI world. This transformation also far out paces existing IT risk regulations and regulators are developing new frameworks for AI applications. This event hosted by The Hive Think Tank brings together a panel of CIOs leading the way in navigating this complex journey of adoption of generative AI in the enterprise that is reshaping our work, career and growth this decade.