Machine Learning Times
EXCLUSIVE HIGHLIGHTS
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...

Author Archive

15 Steps for Selecting a Talent Assessment Solution that Predicts Business Performance

 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 include the use of pre-hire assessments?  As costs of failed new hires continue to rise, recruiters and hiring managers

Wise Practitioner – Predictive Analytics Interview Series: Feras Batarseh at George Mason University – George Washington University

 In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare New York, October 29 – Nov 2, 2017, we asked Feras Batarseh, Research Assistant Professor, George Mason University – George Washington University, a few questions...

Using Machine Learning to Predict Value of Homes On Airbnb

 Originally published in Medium Introduction Data products have always been an instrumental part of Airbnb’s service. However, we have long recognized that it’s costly to make data products. For example, personalized search ranking enables guests to more...

Wise Practitioner – Predictive Analytics Interview Series: Anasse Bari, New York University

  Wall Street and the New Data Paradigm In anticipation of his upcoming conference presentation, Wall Street and the New Data Paradigm at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked...

Women Flocking to Statistics, the Newly Hot, High-Tech Field of Data Science

  Originally published in The Washington Post LINCOLN, Neb. — The numbers of women in science and technology are dismal: Barely 18 percent of computer science degrees go to women. Women make up 11 percent of math faculty....

Improved Customer Marketing with Multiple Models

 Data miners employ a variety of techniques to develop robust predictive models. Often, our analysts are confronted with a dilemma. Should we construct one model to address the business objective? Or perhaps, multiple models may be in...

Data Science: Screening by Religion a Blunt Instrument for Security

 This commentary first appeared in the San Francisco Chronicle. Originally published as the cover piece for the Insight commentary section in the Sunday San Francisco Chronicle, this op-ed by Eric Siegel points out that, although many believe...

Wise Practitioner – Predictive Analytics Interview Series: Steve Weiss, at LinkedIn

In anticipation of his upcoming conference presentation, The Sprint for Teaching Data Science: LinkedIn Learning, Analytics and the New Era of Just-In-Time Skills Training at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we...

Wise Practitioner – Predictive Analytics Interview Series: Emilie Lavoie-Charland at The Co-operators

 In anticipation of her upcoming conference presentation, Which Predictive Model Will Best Help Increase Retention? at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Emilie Lavoie-Charland, Research & Innovation Analyst at The...

Doppelganger Discovery: How Baseball Sabermetrics Inspires Predictive Analytics

 This author will present at Predictive Analytics World, Oct 29 – Nov 2 in New York. This article is excerpted from his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are....

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