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The past decade has seen an unprecedented acceleration of technology, characterized by enhanced computing power, increased network speeds, and advanced analytical capabilities. But nothing has generated more excitement (or engendered more apprehension) than the rapid advancements in generative AI.
Studies estimate that AI will replace 45 million workers by 2030, many in advanced fields like education, medicine, and law. Are we approaching a moment when AI will outpace human leaders? Watch a thought-provoking roundtable discussion featuring experts and thought leaders from Microsoft and the Wharton Neuroscience Initiative. Watch the on-demand webinar today!
In her role, Megan is responsible for leading AIIR’s executive coaching strategy globally, ensuring AIIR offers best-in-class coaching that produces measurable results. In addition to collaborating with AIIR’s clients and internal team to implement and scale coaching for maximum impact, she also oversees AIIR’s global coaching cadre. This includes interviewing, onboarding, training, and ensuring consistency and adherence to AIIR’s rigorous evidence-based coaching methodology.
Michael J. Jabbour is a digital innovation and transformation leader bringing diverse multidisciplinary talents together to improve business outcomes. Dr. Jabbour currently serves as the Chief Innovation Officer for Microsoft Education U.S. and has been actively engaged in enterprise transformation work for over 2 decades.
Michael Platt is a neuroscientist whose work research focuses on the brain’s decision-making processes. As a Penn Integrates Knowledge Professor, he has appointments in the Department of Neuroscience in the Perelman School of Medicine, the Department of Psychology in the School of Arts and Sciences, and the Department of Marketing in the Wharton School. Platt has served as Professor of Neurobiology, Director of the Duke Institute for Brain Sciences and Director of the Center for Cognitive Neuroscience at Duke University. He has also served as the President of the Society for Neuroeconomics.
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