Travels from California, USA
Eric Siegel's speaking fee falls within range: $20,000 to $25,000 (Speakers' virtual presentation fees are generally around 60-80% of the in-person fee range noted here.)
Over a decade before big data became a big topic, Eric Siegel was
serenading graduate students and non-engineering majors with catchy original tunes that conveyed key concepts on data mining and AI. Today, the former Columbia University professor is one of the world’s most respected experts on predictive analytics, the founder of the Predictive Analytics World conference series, and executive editor of The Predictive Analytics Times.
Dr. 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. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.
Eric Siegel, Ph.D., founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating.
He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a former Columbia University professor who used to sing to his students, and a renowned speaker, educator, and leader in the field.
Eric has appeared on Al Jazeera America, Bloomberg TV and Radio, Business News Network (Canada), Fox News, Israel National Radio, NPR Marketplace, Radio National (Australia), and TheStreet.
Eric Siegel and his book have been featured in Businessweek, CBS MoneyWatch, The Financial Times, Forbes, Forrester, Fortune, Harvard Business Review, The Huffington Post, The New York Review of Books, Newsweek, The Seattle Post-Intelligencer, The Wall Street Journal, The Washington Post, and The Wall Street Journal MarketWatch .
While most agree that the only thing certain about the future is uncertainty, Eric Siegel argues otherwise. He demonstrates not only the credibility of big data, but how predictive analytics turn this into game changing technology.
"Data is the deal killer at cocktail parties," Dr. Siegel admits, acknowledging the challenges of getting people to take an interest in this tool that "skyrockets bottom-line profit" and is rather misunderstood. Data and predictive analytics don't really predict the future but offer us a vast collection of people's past actions, giving us a better understanding of what we can do to persuade others to buy our product or vote for our candidate.
Unlike Bill Murray's character in the 1980s classic comedy Groundhog Day, we don't get do-overs in life, but as Dr. Siegel points out in one of the film's famous scenes between Murray and his potential love interest, a news producer portrayed by Andy McDowell, Bill Murray is "not just predicting the outcome - will she fall in love with me? He's predicting which treatment will lead to the positive outcome."
Featuring the first ever pop song/rap to take on predictive analytics, this unique and refreshing introduction to "big data" was filmed in 10 locations across 5 continents including Antarctica.
Dr. Eric Siegel blows away boring connotations associated with “data” as he demonstrates how predictive analytics are completely transforming the way companies sell and interact with customers.
Dr. Siegel can craft his knowledge to your unique industry or conference topics. Using ample examples and plain English, the data-mining pioneer steers audiences through the technical details of what they need to know to fully harness the power of big data to raise their company’s bottom line.
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.
Four Ways Predictive Analytics Leverages Social Media
Prediction delivers the ultimate payoff by driving millions of more effective, per-customer decisions. But prediction is the ultimate challenge; predictive analytics can use all the help — and all the data — it can get.
No data predicts a customer’s behavior like social data: who the customer knows, what sentiment he or she expresses, and which things the customer Likes. In this session, Predictive Analytics World founder and Predictive Analytics author Eric Siegel describes four ways in which predictive analytics drives better business decisions with the use of social data.
Weird Science: How to Know Your Predictive Discovery Is Not BS
“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.
Predictive Analytics for Marketing: Learning from Data to Predict
Prediction is the holy grail of marketing. Foreseeing each customer purchase, click, and cancellation is the ultimate means to drive more effective, per-customer decisions. And today’s enterprise has a wealth of marketing experience from which to learn to predict – aka, data. This learning process is called predictive analytics. In this keynote session, Predictive Analytics author and Predictive Analytics World founder Eric Siegel describes how this technology leverages big data, learning from it in order to drive more effective marketing.
The Prediction Effect, the Data Effect, and the Persuasion Effect
What are the underlying principles that make predictive analytics effective? Why is data predictive, why is imperfect prediction valuable, and what type of prediction succeeds to persuade? You have heard of the butterfly, Doppler, and placebo effects. In this session, PAW founder Eric Siegel covers the Prediction, Data, and Persuasion Effects. Each of these Effects encompasses the fun part of science and technology: an intuitive hook that reveals how it works and why it succeeds.
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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Award-winning | Used by over 30 universities | Translated into 9 languages
An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you’re going to click, buy, lie, or die.
Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
How? Prediction is powered by the world’s most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.
Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
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