Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...

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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