Machine Learning Times
EXCLUSIVE HIGHLIGHTS
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...
How To Un-Botch Predictive AI: Business Metrics
  Originally published in Forbes Predictive AI offers tremendous potential...
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...

Author Archive

The Role of Feature Engineering in a Machine Learning World

 Artificial Intelligence(AI) continues to be the next great topic of debate. In fact, Microsoft, Amazon, IBM, Google and Facebook announced on Thursday,Sept.29 the formation of the Partnership on Artificial Intelligence to Benefit People and Society. Within the predictive analytics discipline, though, we tend to use the term “machine learning” as our reference point for artificial

The Expansive Deployment of Predictive Analytics: 22 Examples

  The future is the ultimate unknown. It’s everything that hasn’t happened yet. Prediction as a capability is booming. It reinvents industries and runs the world. More and more, predictive analytics drives commerce, manufacturing, healthcare, government, and...

Nine Bizarre and Surprising Predictive Insights from Data Science

  Data is the world’s most potent, flourishing unnatural resource. Accumulated in large part as the by-product of routine tasks, it is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of...

The Trick to Predictive Analytics: How to Bridge the Quant/Business Culture Gap

  This article is excerpted from Eric Siegel’s foreword to the recently released book, Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics, by Jeff Deal and Gerhard Pilcher....

Hiring Data Scientists from Outside the U.S.: A Primer on Visas

 It’s no secret that there’s a shortage of data scientists in America’s workforce. Many companies look to hire overseas to help ease the domestic talent shortfall (in fact, one in three data scientists are born outside the...

How Hillary for America Is (Almost Certainly) Using Uplift Modeling

  In this article, I provide evidence that Hillary for America is employing uplift modeling for per-voter persuasion—which Trump’s campaign may not be taking advantage of—and I pose questions about the 2016 presidential race to a leading...

Exploring the Toolkits of Predictive Analytics Practitioners — Part 2

 Continuing on our discussion from last month on toolkits for practitioners, you will note that I purposely do not make reference to specific brand names and companies. By googling data science software, the user can easily obtain...

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...

Call for Speakers Open Predictive Analytics World 2017 Spring/Summer

 Save the date—speaker submissions are now open for spring/summer 2017 Predictive Analytics World events. Share how predictive analytics impacts your organization at the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners. As a speaker,...

Of prediction and policy

 For more on government applications of predictive analytics, see Predictive Analytics World for Government, October 17-20, 2016 in Washington, DC. Governments have much to gain from applying algorithms to public policy, but controversies loom For frazzled teachers...

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