Generative AI offers transformational potential for the enterprise. From improving employee engagement and customer experience to optimizing IT operations, these innovative tools are changing the business landscape. For CIOs, charting the right steps to seize unprecedented opportunities and recognize inherent risks is essential for capitalizing on this exciting technology. Distinguished Vice President Analyst Arun Chandrasekaran joins CIO Mind Podcast host Eyad Tachwali to talk about generative AI’s impact on enterprises, its risks and what this technology means for enterprises in the near future. How is your organization harnessing or intending to use generative AI? We're eager to hear your experiences and strategies. Join the conversation in our Peer Community.Arun Chandrasekaran is a Distinguished Vice President, Analyst at Gartner, where his research focus is on providing strategic advice to CTOs and CIOs on how to spur technology innovation within enterprise IT. He is part of the core team that analyzes emerging technology trends and creates the annual Gartner top strategic technology trends research. Arun’s focus areas involve emerging trends in AI, including generative AI, public cloud and cloud-native architectures.What are some of the actionable use cases for generative AI? (2:53)What kind of risks should CIOs be mindful of as they plan their generative AI pilots? How can they mitigate these risks? (9:09)What skills or technology should a company have to make the most out of generative AI? (16:47)As a CIO, what are the top three key messages I need to communicate to my CEO and board of directors about generative AI? (18:19)GPT-4 and AutoGPT: What do they mean for the enterprise? Where is this technology headed? (19:52)