Over 70% of AI governance leaders recently admitted they'd let unaudited models keep running if they were tied to revenue. That number alone tells you where enterprise AI governance stands today.

Dr. Eva-Marie Muller-Stuler has spent 25 years advising Fortune 500 companies, the UN, and the EU Parliament on AI strategy and governance. She built and led EY's Data and AI practice across the Middle East and North Africa, served as CTO for AI at IBM, and was named World's Best Data Scientist in 2020. She is also the author of Responsible AI Product Development and now the founder and CEO of The Hummingbird Group.

She joins host Jason Hemingway to explore what companies get wrong when scaling AI globally and where accountability sits when AI is embedded in enterprise decision-making. She reframes the build versus buy question around what you need to control and explains why organizations governing AI well are the ones scaling fastest. She is equally direct on how AI-generated content fails across markets without proper governance and argues that classical decision science matters more right now than generative AI.

Dr. Eva-Marie Muller-Stuler is the Founder and Chief AI Officer at The Hummingbird Group, an AI advisory firm helping organizations and governments navigate AI-driven transformation. A globally recognized AI strategist and governance advisor with over 25 years of experience, she has built AI capabilities across Fortune 500 companies, the UN, and the EU Parliament. Her background spans mathematics, corporate restructuring, and leadership roles including Partner at EY where she built and led the Data and AI practice across the Middle East and North Africa, Chief Technology Officer for AI at IBM, and partner at KPMG, where she pioneered decision science and data governance frameworks. Named World's Best Data Scientist in 2020 and recognized among the Top 10 Most Influential Women in Technology, she is also the author of Responsible AI Product Development. Dr. Muller-Stuler brings critical expertise in helping organizations scale AI responsibly across global markets while embedding governance and accountability into how decisions are made.

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