Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...
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