Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Data Analytics in Higher Education
 Universities confront many of the same marketing challenges as...
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
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5 years ago
Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel

  Dr. Eric Siegel cuts through the buzzwords surrounding predictive analytics to reveal what it is, how it works, and how it is driving major improvements in business—including in demand forecasting. He discusses the persuasion paradox, reveals how companies can get started in predictive analytics, and dispels the myth that all consumers of this technology need to be technically minded. A civil liberties activist, he also warns that misuse of this technology can further marginalize society’s most vulnerable groups. “Predictive analytics has become a critical best practice for all businesses that operate at scale”. What is predictive analytics?

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