Eric Siegel
Eric Siegel on Applying Data
Eric Siegel
Keynote Speaker
Founder of the Machine Learning Week Conference Series; Bestselling Author, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die and The AI Playbook: Mastering the Rare Art of Machine Learning Deployment
Eric Siegel is a bestselling author, former Columbia University professor, long-time leading consultant, Forbes contributor, and founder of the long-running Machine Learning Week conference series. He makes the how and why of predictive analytics (aka machine learning) understandable and captivating.
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Eric Siegel'S SPEAKING FEE Under $25,000
Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI Applications Summit, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker.
He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at hundreds of universities, as well as The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Eric’s interdisciplinary work bridges the stubborn technology and business gap.
Eric’s presentations on AI, machine learning, and predictive analytics are understandable to all audience members. He keeps it relevant, engaging, and entertaining.
And yet Eric delves down enough to concretely demonstrate how machine learning works: how it actionably delivers business value – including example case studies – and how it works under the hood. Eric’s keynotes are concrete and substantive, diving deep rather than only invoking the often-heard generalities and buzzwords surrounding AI.
Featured Videos
Eric Siegel
Eric Siegel on Predictive Analytics and Fraud Detection
Eric Siegel
Eric Siegel on the Value of Predictive Analytics
Eric Siegel
Eric Siegel on Causal Explanations in Data
Eric Siegel
Eric Siegel on Applying Data
Eric Siegel’s Speech Topics
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The AI Playbook: How to Capitalize on Machine Learning
The greatest tool is the hardest to use. Machine learning is the world’s most important general-purpose technology – but it’s notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing? A specialized business practice suitable for wide adoption. In this keynote, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment. And he illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms.
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How Machine Learning Delivers on the Promise of AI
The excitement over machine learning and AI has reached a fever pitch. But what is the value, the function, the purpose? The most actionable win to be gained from data is prediction. This is achieved by analytically learning from data how to render predictions for each individual. Such predictions drive more effectively the millions of operational decisions that organizations make every day. In this keynote, Machine Learning Week founder and bestselling author Eric Siegel reveals how machine learning – aka predictive analytics – works and the ways in which it delivers value to organizations across industry sectors.
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How Machine Learning Reduces Risk in Financial Services
The gold standard method for leveraging data to reduce risk – in credit, insurance, and other lines of business – is machine learning. The predictive models this technology generates reduce risk, cut costs, and boost profit. In this keynote address, bestselling author and former Columbia University professor Eric Siegel will clearly demonstrate exactly what is learned from data and how enterprises apply what’s learned to improve the business metrics that matter most in the financial services sector.
Works by Eric Siegel
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