Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Predictive AI Will Solve GenAI’s Deadly Reliability Problem
  Originally published in Forbes Generative AI too unreliable to...
5 Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes AI is in trouble. Both...
This Simple Arithmetic Can Optimize Your Main Business Operations
 Originally published in Forbes Deep down, we all know that...
Predictive AI Usually Fails Because It’s Not Usually Valuated
 Originally published in Forbes Why in the world would the...

Original Content

Getting Started with Predictive Analytics – an Interview with Eric Siegel

 Data science and predictive analytics are top of mind – but how do you get started? I had the chance to interview Eric Siegel, founder of Predictive Analytics World, the leading conference series, and author of the popular, award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which earlier this

Wise Practitioner – Predictive Analytics Interview Series: Dr. Sarmila Basu at Microsoft Corporation

 In anticipation of her upcoming conference presentation, Predictive & Prescriptive Analytics Helps Keep Kids in School at Predictive Analytics World London, October 12-13, 2016, we asked Dr. Sarmila Basu, Senior Director, Data & Decision Sciences Group at...

Are Pre-hire Talent Assessments Part of a Predictive Talent Acquisition Strategy?

  Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates. Increasingly, businesses are asking how (or if) a predictive talent acquisition strategy can...

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...

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...

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