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 Analytics Interview Series: Dae Park and Vijay D’Souza at Government Accountability Office (GAO)

 In anticipation of their upcoming conference co-presentation, Characteristics for Those Claiming Social Security Benefits Early, at Predictive Analytics World for Government, October 17-20, 2016, we asked Dae Park, Assistant Director at Government Accountability Office (GAO), and Vijay D’Souza, Director at Government Accountability Office (GAO), a few questions about their work in predictive analytics. Q:  How

Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott of SmarterHQ

 In anticipation of his upcoming conference presentation, The Revolution in Retail Customer Intelligence, at Predictive Analytics World New York, October 23-27, 2016, we asked Dean Abbott, Co-Founder and Chief Data Scientist of SmarterHQ, a few questions about...

Opportunities and Challenges: Predictive Analytics for IoT

 There is a clear sense in the marketplace today that for the internet of things (IoT) to realize its true potential as the next-big-thing, analytics is going to be critical. After all what is the purpose of connecting...

Feature Engineering Within the Predictive Analytics Process — Part Two

 In the last article, I discussed the concept of feature engineering as comprising two components with the first component being the ability to create and derive meaningful variables in the analytical file which is used as the...

HBO Teaches You How to Avoid Bad Science

 Do you know what p-hacking is? John Oliver – of HBO’s “Last Week Tonight” and formerly of “The Daily Show with Jon Stewart” – does. It’s a tricky, potent analytical pitfall that’s gaining increased, deserving attention –...

Jim Sterne’s Book Review of “Predictive Analytics” by Eric Siegel

 Book review originally published in the journal Applied Marketing Analytics Eric Siegel’s book, ‘Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die’ gets its subtitle from the many ways statistical prognostication has been...

The Big Picture: Today’s Data Analytics Stack

 Enterprises are inundated with data from social, mobile, IoT and other technologies. The pace of the data flow is only accelerating. Over 300 hours of videos are uploaded on YouTube every minute, and this has grown from...

Taking Action on Technical Success: A Fable of Data Science and Consequences

 Note: This story is fiction, but it is based on experience with real clients. Any resemblance to people you know is incidental. You can read the prequel to this episode here. Michael’s Tale, Continued TalkThree’s new Analytics...

Analytics is (often) a Faith-Based Business

 If you follow data science topics in various social media channels, you’ll invariably see a lot of blog posts about A/B testing along with announcements about new tools and techniques for doing the associated analyses. I am...

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Chris Labbe at Seagate Technology

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Building a Predictive Analytics Organization, we interviewed Chris Labbe, Managing Technologist at Seagate Technology. View the Q-and-A below for a glimpse of what’s in store at the PAW Manufacturing...

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