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Podcast
Capturing value from predictive analytics and AI trends
Part of the AI Ignition video and podcast series, brought to you by the Deloitte AI Institute™, intended to ignite applied AI conversations in the Age of With™
Join Beena Ammanath and AI innovation expert Eric Siegel as they discuss his 30-year career in the field of machine learning, the importance of stakeholder involvement in AI deployments, and balancing predictive analytics with Generative AI and other AI trends for enterprise success.
How can businesses realize value from predictive analytics and navigate AI innovation challenges?
In this podcast on machine learning and AI innovation, Beena Ammanath talks to bestselling author Dr. Eric Siegel about his 30-year career in the field, spanning academia, consulting, and entrepreneurship. Together, they discuss the impact of predictive analytics in business operations, challenges in deployment and ethics, and bridging the technology-business gap to achieve value.
“[Machine learning] is potentially useful and valuable, but only do you capture that value if you act on it. If you deploy it, implement it, operationalize it, actually change those operations.”
Dr. Eric Siegel is a bestselling author and AI innovation expert, renowned for his work in predictive analytics and machine learning. He is a leading voice on ethical considerations in AI and has made significant contributions to the field through his research and publications.
Watch the video interview here:
Ignite your AI curiosity by exploring Deloitte’s future of AI in the enterprise video and podcast series
Artificial intelligence continues to change the world around us at a dizzying pace.
Join Beena Ammanath, executive director of the Deloitte AI Institute and technology optimist, as she dives into the hottest topics and trends in artificial intelligence. Each episode will feature conversations with creators, implementers, collaborators, and experts exploring where AI began and where it’s going. Tune in each month to discover new episodes available via video interview or podcast.
Contact us for information on this podcast, or visit the AI Ignition library for the full collection of episodes.
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