Machine Learning Times
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2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Original Content

Wise Practitioner – Predictive Workforce Analytics Interview Series: Lisa Disselkamp and Tristan Aubert at Deloitte

 In anticipation of their upcoming Predictive Analytics World for Workforce conference co-presentation, Predictive Analytics Unlocks Sustainable Cost Reduction In Hourly Workforce, we interviewed Lisa Disselkamp, Director at Deloitte, and Tristan Aubert, Senior Consultant – Advanced Analytics & Modeling at Deloitte. View the Q-and-A below to see how Lisa and Tristan have incorporated predictive analytics into the workforce of

The Data Scientist’s Dilemma: Does Skipping Breakfast Kill You?

 Would skipping breakfast kill you? Not necessarily—but confusing correlation and causation might. Find out why in this article, originally published in Quartz and adapted from Eric Siegel’s recently-released Revised and Updated, edition of Predictive Analytics: The Power to Predict Who...

Predictive Analytics Can Help with the Challenges Facing Manufacturing in the 21st Century

 Historically, data and analytics have been key to the success of manufacturing. The biggest contributor to the success of the 100+ year old assembly line technology was the development of interchangeable parts. Clearly, data was central to...

Wise Practitioner – Predictive Analytics Interview Series: Nate Watson at Contemporary Analysis

 In anticipation of his upcoming conference presentation, Predictive Sales Targeting in the Energy Industry, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Nate Watson, President at Contemporary Analysis, a few questions about his work...

Customer Experience Predictions for 2016

 As we look ahead and see 2016 unfurling in front of us, the team at Beyond the Arc wanted to play the role of #stylespotter. What’s the “new black” for companies focused on improving customer experience? We’re...

Predictive Analytics Book Excerpt: Hands-On Guide—Resources for Further Learning

 Here is the Hands-On Guide that appears at the end the Revised and Updated paperback edition of Eric Siegel’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Although the book Predictive Analytics...

Wise Practitioner – Predictive Analytics Interview Series: Hans Wolters at Microsoft

 In anticipation of his upcoming conference presentation, Predicting User and Device Upgrade Issues Moving to Windows as a Service, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Hans Wolters, Principal Data Scientist, Windows and...

Machine Learning: Not Necessarily a New Phenomenon in Predictive Analytics

 One of the more recent topics gaining traction in Big Data Analytics is the notion of machine learning. Many people think that this is a recent development or phenomenon occurring as a result of newer Big Data...

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

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Balancing Privacy with Powerful Employee Churn Predictions, we interviewed Frank Fiorille, Senior Director of Risk Management at Paychex, Inc. View the Q-and-A below to see how Frank Fiorille has...

Netflix, Dark Knowledge, and Why Simpler Can Be Better

 Weary from an all-night coding effort, and rushed by the looming 6:42PM deadline, Lester Mackey searched franticly for the proper prediction file to submit. Lester was a member of “The Ensemble”—a large coalition of data scientists who...

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