Eric Siegel
Keynote Speaker: Founder of Machine Learning Week, AI Expert & Best-Selling Author
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Eric Siegel Biography
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". Siegel’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. Siegel also publishes op-eds on analytics and social justice.
Siegel has appeared on Bloomberg TV and Radio, BNN (Canada), Israel National Radio, National Geographic Breakthrough, NPR Marketplace, Radio National (Australia), and TheStreet. A Forbes contributor, Siegel and his books have been featured in BBC, Big Think, Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, Fast Company, The Financial Times, Fortune, GQ, Harvard Business Review, The Huffington Post, The Los Angeles Times, Luckbox Magazine, MIT Sloan Management Review, The New York Review of Books, The New York Times, Newsweek, Quartz, Salon, The San Francisco Chronicle, Scientific American, The Seattle Post-Intelligencer, Trailblazers with Walter Isaacson, The Wall Street Journal, The Washington Post, and WSJ MarketWatch.
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Eric Siegel Speaking Topics
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.
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.
Industry leader Eric Siegel's latest research shows most models generated with machine learning to improve business operations in a new way never deploy. It turns out that machine learning operationalization – which changes existing processes in order to improve them – takes a lot more planning, socialization, and change-management efforts than most ever begin to realize. The problem is more in leadership than in technology. In this talk, Eric will outline the required practice needed to run ML projects so that they successfully deploy and deliver a business impact.
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.
Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time we differentiate most of today’s practical ML projects from those research advances. Including all ML initiatives under the “AI” umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. In this keynote address, bestselling author Eric Siegel shows that, for most ML projects, the term “AI” goes entirely too far — it alludes to human-level capabilities. By unpacking the meaning of “AI,” he'll reveal just how overblown a buzzword it is.
Eric Siegel Videos
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How much does it cost to book Eric Siegel for a speaking engagement?
Speaking fees for Eric Siegel, or any other speakers and celebrities, are determined based on a number of factors and may change without notice. The estimated fees to book Eric Siegel are $10,000 - $20,000 for live events and Below $10,000 for virtual events. For the most current speaking fee to hire Eric Siegel, click the Check Schedule button above and complete the form on this page, or call our office at 1.800.698.2536 to speak directly with an experienced booking agent.
What topics does Eric Siegel speak about?
Eric Siegel is a keynote speaker and industry expert who speaks on a wide range of topics such as Authors, Data, Business, Business Growth, Human Resources, Entrepreneurship, Innovation and Futurism.
Where does Eric Siegel travel from?
Eric Siegel generally travels from San Francisco, CA, USA and can be booked for (private) corporate events, personal appearances, keynote speeches, or other performances.
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AAE Speakers Bureau has successfully secured keynote speakers like Eric Siegel for clients worldwide since 2002. As a full-service speaker booking agency, we have access to virtually any speaker or celebrity in the world. Our agents are happy and able to submit an offer to the speaker or celebrity of your choice, letting you benefit from our reputation and long-standing relationships in the industry. Please click the Check Schedule button above and complete the form on this page including the details of your event, or call our office at 1.800.698.2536, and one of our agents will assist you to book Eric Siegel for your next private or corporate function.
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Eric Siegel is a keynote speaker and industry expert who speaks on a wide range of topics including Authors, Data and Business. The estimated speaking fee range to book Eric Siegel for live events is $10,000 - $20,000, and for virtual events Below $10,000. Eric Siegel generally travels from San Francisco, CA, USA and can be booked for (private) corporate events, personal appearances, keynote speeches, or other performances. Similar motivational celebrity speakers are Ganes Kesari, Ayesha Khanna and Mike Walsh. Contact All American Speakers for ratings, reviews, videos and information on scheduling Eric Siegel for an upcoming event.
SPEAKING TOPICS
Eric Siegel Speaking Topics
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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.
-
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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Most Machine Learning Projects Fail to Deploy – Here's the Remedy
Industry leader Eric Siegel's latest research shows most models generated with machine learning to improve business operations in a new way never deploy. It turns out that machine learning operationalization – which changes existing processes in order to improve them – takes a lot more planning, socialization, and change-management efforts than most ever begin to realize. The problem is more in leadership than in technology. In this talk, Eric will outline the required practice needed to run ML projects so that they successfully deploy and deliver a business impact.
-
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.
-
The High Cost of AI Hype
Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time we differentiate most of today’s practical ML projects from those research advances. Including all ML initiatives under the “AI” umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. In this keynote address, bestselling author Eric Siegel shows that, for most ML projects, the term “AI” goes entirely too far — it alludes to human-level capabilities. By unpacking the meaning of “AI,” he'll reveal just how overblown a buzzword it is.
VIDEO
Eric Siegel Videos
BOOKS
NEWS
Eric Siegel News
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Sound Data Science: Avoiding the Most Pernicious Prediction Pitfall
ARTICLE: Data science and predictive analytics’ explosive popularity promises meteoric value, but a common misapplication readily backfires. The number crunching only delivers if a fundamental – yet often omitted – fail-safe is applied.
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