Chances are, you’ve heard a lot about ChatGPT in particular and, more broadly, generative AI over the past few months. As the technology and its adoption continue to rapidly develop, we’re joined by Gartner VP Analyst Svetlana Sicular, who works at the intersection of data and AI, to discuss the particulars of generative AI. In this episode, she covers generative AI’s potential to create designs or objects that humans may have otherwise missed. She also addresses the various use cases for generative AI and its ability to prove technology can be both transformational and a creative genius.
Explore: What Generative AI Means for Business
Learn: Gartner Experts Answer the Top Generative AI Questions for Your Enterprise
Download: Create Your AI Strategy Workbook
Discover: Featured Business Insights and Trends
Opening Thoughts
What’s Important to Know About Generative AI
The Difference Between Generative AI and AI
AI’s Extreme Democratization
What Industries Will Lead the Way
The Power of Scale
Challenges for Tech Leaders
Who Can Best Identify Opportunities of Generative AI
The Most Exciting Aspect of Generative AI
Svetlana Sicular | VP Analyst
Svetlana Sicular is a thought leader in AI, making a transformational impact on AI governance, strategies and AI-data readiness of organizations of all scales, from multinational corporations and government bodies to innovative startups. As one of the first analysts ever covering AI, she has been shaping AI space for over a decade, influencing strategies of major players and adopters. Her current research interests focus on AI governance, AI trends, the ongoing shifts in AI and on the most exciting part of artificial intelligence - the human. At Gartner, Svetlana pioneered research on generative AI, AI governance, responsible AI, AI-ready data and earlier – on big data, multidisciplinary AI teams, data product management, the Chief Data Officer's role, data governance in today's AI-driven landscape, and augmented intelligence – where humans and machines excel together.
Hosted by: Karen Lockhart
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