Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

Original Content

Manufacturing Operations: Machine Learning to Separate Actionable Trends from False Alarms

 Predictive analytics is increasingly becoming the object of value within many so-called traditional industries like manufacturing. While historically data generated by and in manufacturing is mostly structured, today unstructured data is also becoming a source that cannot be ignored. Most of this unstructured data comes from log books, repair manuals, warranty records, and even product

Predictive Analytics Basics: Six Introductory Terms and The Five Effects

 Here are six key definitions—and The Five Effects of Prediction—from my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Revised and Updated, 2016). Note: A complementary copy of this book will...

Wise Practitioner – Predictive Analytics Interview Series: Ken Yale at ActiveHealth Management

 In anticipation of his upcoming keynote co-presentation at Predictive Analytics World for Healthcare New York, October 23-27, 2016, we asked Ken Yale, JD, DDS, Vice President of Clinical Solutions at ActiveHealth Management, a few questions about incorporating predictive...

Wise Practitioner – Predictive Analytics Interview Series: Dr. Hevel Jean-Baptiste at GE Capital

 In anticipation of his upcoming conference presentation, Importance of Model Risk Management in Financial Institutions at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Hevel Jean-Baptiste, Global Senior Program Manager, Model Risk...

Wise Practitioner – Predictive Analytics Interview Series: Frank Fiorille at Paychex, Inc.

 In anticipation of his upcoming conference presentation, Risk Management Algorithms – Paving the Way to Value Creation at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Frank Fiorille, Sr. Director of Risk...

The Real Reason the NSA Wants Your Data: Predictive Law Enforcement

 The NSA can leverage bulk data collection with predictive analytics to target law enforcement activities. But this little-known capability both intensifies and redefines the debate over how much data governments should be collecting. About this article. This...

Wise Practitioner – Predictive Analytics Interview Series: Scott Zoldi at FICO

 In anticipation of his upcoming conference keynote presentation, Fraud Screening for 2/3rds of All Card Transactions: A Consortium and Its Data at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Scott Zoldi,...

Wise Practitioner – Predictive Analytics Interview Series: Thomas Klein at Miles & More GMbH

 In anticipation of his upcoming conference co-presentation, Using Predictive Models for Demand Simulation – Purchase, Response and Uplift Modeling in Practice, at Predictive Analytics World New York, October 23-27, 2016, we asked Thomas Klein, Associate Director Advanced...

Book Review: Predictive Analytics for Newcomers and Nontechnical Readers

 The book reviewed in the article, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, is provided as a complementary copy for all attendees at two Predictive Analytics World events coming to New...

Wise Practitioner – Predictive Analytics Interview Series: Meina Zhou at Bitly

 In anticipation of her upcoming conference presentation, Predictive Analytics for Different Business Types:  Optimize All the Funnels, at Predictive Analytics World New York, October 23-27, 2016, we asked Meina Zhou, Data Scientist at Bitly, a few questions...

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