Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes, September 30, 2024 This is the...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes, August 27, 2024 This is the...
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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7 years ago
Wise Practitioner – Predictive Analytics Interview Series: Richard Lee at John Hancock Financial

 In anticipation of his upcoming conference presentation, Detecting Incorrect Payments: The Payment Defect Model, at Predictive Analytics World for Financial in Las Vegas, June 3-7, 2018, we asked Richard Lee, Manager of Operations Reporting Consistency at John Hancock Financial, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Most of the work I do is geared towards needle in the haystack type of problems. These are the most interesting cases as overall accuracy is moot point due to the nature of the data. In

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