Machine Learning Times
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The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
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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.

3 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.