Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
 Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
 Originally published in The European Business Review, March 21,...
SHARE THIS:
 

Eric Siegel, author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, explains how the Obama 2012 Campaign used persuasion modeling to influence voters.

2 thoughts on “Eric Siegel Explains How The Obama 2012 Campaign Used Predictive Analytics To Influence Voters

  1. It’s very interesting, especially going into the book. The campaign used big data analytics to understand voter behavior and preferences, which helped them effectively segment their audience and target their messaging on Melbeth’s https://melbet-website.info/kenya/. This included identifying the most likely supporters, undecided voters, and those who might be inclined to vote for Obama, followed by a personalized approach to each of these segments.

     

Leave a Reply