National Geographic: Eric Siegel on Predictive Analytics
Eric Siegel expounds on predictive analytics on National Geographic's...
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Eric Siegel BiographyThe power of prediction is booming right now. Companies, governments, law enforcement, hospitals, and universities are all tapping into that power. Adam Siegel helps audiences understand how the the world’s most unnatural resource—data—is helping institutions predict whether you're going to “click, buy, lie, or die.”
On stage, this former Columbia University professor and founder of Predictive Analytics World unpacks the power and the perils of prediction. Siegel shares his expertise in machine learning and helps audiences understand how this omnipresent science affects our daily lives. Whether you are a consumer of it — or consumed by it —the power of Predictive Analytics is here to stay.
After Columbia, Siegel co-founded two software companies for customer profiling and data mining, and then started Prediction Impact in 2003, providing predictive analytics services and training to mid-tier through Fortune 100 companies. Siegel is the instructor of the acclaimed online training program, Predictive Analytics Applied. He has published over 20 papers and articles in data mining research and computer science education and has served on 10 conference program committees. He is the author of the acclaimed book, "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die."
Contact a speaker booking agent to check availability on Eric Siegel and other top speakers and celebrities.
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“An orange used car is least likely to be a lemon.” At least that’s what was claimed by *The Seattle Times, The Huffington Post, The New York Times, NPR, *and* The Wall Street Journal*. However, this discovery has since been debunked as inconclusive. As data gets bigger, so does a common pitfall in the application of standard stats: Testing many predictors means taking many small risks of being fooled by randomness, adding up to one big risk. John Elder calls this issue *vast search*. In this keynote, PAW founder Eric Siegel will cover this issue and provide guidance on tapping data’s potential without drawing false conclusions.
Data driven decisions are meant to maximize impact
• right? Well, the only way to optimize influence is to predict it. The analytical method to do this is called *uplift modeling* (aka, *persuasion modeling*). This is a completely different animal from standard predictive models, which predict customer behavior. Instead, uplift models predict the influence on an individual’s behavior gained by choosing one treatment over another. In this session, Predictive Analytics World Founder Eric Siegel provides an introduction to this growing area.
Predictive analytics addresses today’s pressing challenges in healthcare effectiveness and economics by improving operations across the spectrum of healthcare functions, including:
• Clinical services and other healthcare management operations such as targeting screening and compliance intervention
• Insurance pricing and management
• Healthcare product marketing
Applied in these areas, predictive analytics serves to improve patient care, reduce cost, and bring greater efficiencies. In this keynote address, Eric Siegel will cover today’s rapidly emerging movement to fortify healthcare with big data’s biggest win: the power to predict.
The excitement over “big data” has grown dramatically. 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, Predictive Analytics World founder and *Predictive Analytics* author Eric Siegel reveals how predictive analytics works, and the ways in which it delivers value to organizations across industry sectors
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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All American Entertainment (AAE) exclusively represents the interests of talent buyers, and does not claim to be the agency or management for any speaker or artist on this site. AAE is a talent booking agency for paid events only. We do not handle requests for donation of time or media requests for interviews, and cannot provide celebrity contact information.
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The power of prediction is booming right now. Companies, governments, law enforcement, hospitals, and universities are all tapping into that power. Adam Siegel helps audiences understand how the the world’s most unnatural resource—data—is helping institutions predict whether you're going to “click, buy, lie, or die.”
On stage, this former Columbia University professor and founder of Predictive Analytics World unpacks the power and the perils of prediction. Siegel shares his expertise in machine learning and helps audiences understand how this omnipresent science affects our daily lives. Whether you are a consumer of it — or consumed by it —the power of Predictive Analytics is here to stay.
After Columbia, Siegel co-founded two software companies for customer profiling and data mining, and then started Prediction Impact in 2003, providing predictive analytics services and training to mid-tier through Fortune 100 companies. Siegel is the instructor of the acclaimed online training program, Predictive Analytics Applied. He has published over 20 papers and articles in data mining research and computer science education and has served on 10 conference program committees. He is the author of the acclaimed book, "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die."
Contact a speaker booking agent to check availability on Eric Siegel and other top speakers and celebrities.
“An orange used car is least likely to be a lemon.” At least that’s what was claimed by *The Seattle Times, The Huffington Post, The New York Times, NPR, *and* The Wall Street Journal*. However, this discovery has since been debunked as inconclusive. As data gets bigger, so does a common pitfall in the application of standard stats: Testing many predictors means taking many small risks of being fooled by randomness, adding up to one big risk. John Elder calls this issue *vast search*. In this keynote, PAW founder Eric Siegel will cover this issue and provide guidance on tapping data’s potential without drawing false conclusions.
Data driven decisions are meant to maximize impact
• right? Well, the only way to optimize influence is to predict it. The analytical method to do this is called *uplift modeling* (aka, *persuasion modeling*). This is a completely different animal from standard predictive models, which predict customer behavior. Instead, uplift models predict the influence on an individual’s behavior gained by choosing one treatment over another. In this session, Predictive Analytics World Founder Eric Siegel provides an introduction to this growing area.
Predictive analytics addresses today’s pressing challenges in healthcare effectiveness and economics by improving operations across the spectrum of healthcare functions, including:
• Clinical services and other healthcare management operations such as targeting screening and compliance intervention
• Insurance pricing and management
• Healthcare product marketing
Applied in these areas, predictive analytics serves to improve patient care, reduce cost, and bring greater efficiencies. In this keynote address, Eric Siegel will cover today’s rapidly emerging movement to fortify healthcare with big data’s biggest win: the power to predict.
The excitement over “big data” has grown dramatically. 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, Predictive Analytics World founder and *Predictive Analytics* author Eric Siegel reveals how predictive analytics works, and the ways in which it delivers value to organizations across industry sectors
Eric Siegel is a keynote speaker and industry expert who speaks on a wide range of topics . The estimated speaking fee range to book Eric Siegel for your event is $20,000 - $30,000. Eric Siegel generally travels from Santa Monica, CA, USA and can be booked for (private) corporate events, personal appearances, keynote speeches, or other performances. Similar motivational celebrity speakers are Russell Walker, Monica Rogati, Alex Salkever, Dr. Mark van Rijmenam and Marc Randolph. Contact All American Speakers for ratings, reviews, videos and information on scheduling Eric Siegel for an upcoming live or virtual event.
“An orange used car is least likely to be a lemon.” At least that’s what was claimed by *The Seattle Times, The Huffington Post, The New York Times, NPR, *and* The Wall Street Journal*. However, this discovery has since been debunked as inconclusive. As data gets bigger, so does a common pitfall in the application of standard stats: Testing many predictors means taking many small risks of being fooled by randomness, adding up to one big risk. John Elder calls this issue *vast search*. In this keynote, PAW founder Eric Siegel will cover this issue and provide guidance on tapping data’s potential without drawing false conclusions.
Data driven decisions are meant to maximize impact
• right? Well, the only way to optimize influence is to predict it. The analytical method to do this is called *uplift modeling* (aka, *persuasion modeling*). This is a completely different animal from standard predictive models, which predict customer behavior. Instead, uplift models predict the influence on an individual’s behavior gained by choosing one treatment over another. In this session, Predictive Analytics World Founder Eric Siegel provides an introduction to this growing area.
Predictive analytics addresses today’s pressing challenges in healthcare effectiveness and economics by improving operations across the spectrum of healthcare functions, including:
• Clinical services and other healthcare management operations such as targeting screening and compliance intervention
• Insurance pricing and management
• Healthcare product marketing
Applied in these areas, predictive analytics serves to improve patient care, reduce cost, and bring greater efficiencies. In this keynote address, Eric Siegel will cover today’s rapidly emerging movement to fortify healthcare with big data’s biggest win: the power to predict.
The excitement over “big data” has grown dramatically. 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, Predictive Analytics World founder and *Predictive Analytics* author Eric Siegel reveals how predictive analytics works, and the ways in which it delivers value to organizations across industry sectors
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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This website is a resource for event professionals and strives to provide the most comprehensive catalog of thought leaders and industry experts to consider for speaking engagements. A listing or profile on this website does not imply an agency affiliation or endorsement by the talent.
All American Entertainment (AAE) exclusively represents the interests of talent buyers, and does not claim to be the agency or management for any speaker or artist on this site. AAE is a talent booking agency for paid events only. We do not handle requests for donation of time or media requests for interviews, and cannot provide celebrity contact information.
If you are the talent, and wish to request removal from this catalog or report an issue with your profile, please click here.
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