Eric Siegel
About Eric Siegel:
Eric Siegel, Ph.D., founder of the Predictive Analytics World conference series 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. He 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 WSJ MarketWatch.
Big Data and Data Science:
Predictive analytics is of great interest at any "big data" or "data science" event; it is central to these movements. The ultimate use of data is to learn from it to predict. Focusing on how much data there is can overlook this point. What is the value, the function, the purpose? The most actionable win from data — which more effectively drives organizational operations — is prediction.
About Eric Siegel:
Eric Siegel, Ph.D., founder of the Predictive Analytics World conference series 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. He 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 WSJ MarketWatch.
Big Data and Data Science:
Predictive analytics is of great interest at any "big data" or "data science" event; it is central to these movements. The ultimate use of data is to learn from it to predict. Focusing on how much data there is can overlook this point. What is the value, the function, the purpose? The most actionable win from data — which more effectively drives organizational operations — is prediction.
Predictive Analytics and the Presidential Race
Following in the footsteps of her democratic predecessor, Hillary Clinton's campaign is leveraging big data and data science for the win. But there's a story most don't know: This effort gains traction by predicting each individual voter's response to campaign contact. A very particular, innovative approach drives millions of decisions as to who got a knock on the door. This data driven process changes the game not only for...
Predictive Analytics: Delivering on the Promise of Big Data
Four Ways Predictive Analytics Leverages Social Media
Weird Science: How to Know Your Predictive Discovery Is Not BS
