National Geographic: Eric Siegel on Predictive Analytics
“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
National Geographic: Eric Siegel on Predictive Analytics
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Elementary, Watson: The Rise of the Anthropomorphic Machine
Eric Siegel: You Are So Predictable
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.
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 a profile update or removal from our online directory, please submit a profile request form.
“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 such as Weird Science: How to Know Your Predictive Discovery Is Not BS, Uplift Modeling: Optimize for Influence and Persuade by the Numbers, How Predictive Analytics Fortifies Healthcare and Predictive Analytics: Delivering on the Promise of Big Data. The estimated speaking fee range to book Eric Siegel for your event is $10,000 - $20,000. 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 Afdhel Aziz, Russell Walker, Jenny Dearborn, Ayesha Khanna and Erik Qualman. 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.
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 a profile update or removal from our online directory, please submit a profile request form.