Eric Siegel

Eric Siegel, Ph.D., stands as a prominent figure in the realm of machine learning and predictive analytics, having made significant strides both in academia and industry. An esteemed former professor at Columbia University and the University of Virginia's Darden School of Business, Siegel has garnered acclaim for his ability to bridge the often daunting chasm between technology and business. His pioneering work has not only guided leading corporations in the deployment of machine learning but also inspired countless individuals through his compelling presentations at conferences and his well-received online course, "Machine Learning Leadership and Practice – End-to-End Mastery." Among Siegel's literary contributions, "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" emerges as a definitive guide in the field, celebrated for its insightful exploration of how data can forecast human behavior. This bestseller, which has enriched academic curricula across numerous universities, delves into the transformative potential of predictive technology. Complementing this seminal work, "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment" further solidifies Siegel's reputation as a thought leader, offering strategic insights into the effective application of machine learning technologies. Siegel’s writing style is characterized by clarity and precision, adeptly unraveling complex concepts for a broad audience while maintaining intellectual rigor. His works frequently explore the intersection of analytics with social justice, reflecting his commitment to ethical considerations in technology. As the founder of the Machine Learning Week conference series and its counterpart, the Generative AI Applications Summit, Siegel continues to be a leading voice in the discourse on the future of machine learning, enhancing both theoretical understanding and practical application in this rapidly evolving field.