Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Original Content

Breaking into Analytics: 5 “Musts” for your Career Transition

 In our data-rich society, corporations of all types and sizes recognize the importance of utilizing information to understand their past and shape their future. Many organizations, however, ultimately fail to reap the powerful benefits of analytics as a business tool because, they believe, their analysts have failed to deliver valuable, pertinent insights from the data

How Predictive Analytics Can Fuel Innovation for Manufacturing

 Industry leaders like to use the term “culture” to demonstrate the uniqueness of a business and to point out how, while products may be superficially imitated, can never be replicated by competitors because of this “culture” thing....

Rexer Analytics Data Science Survey – Highlights (New)

  White Paper with 2015 survey results available now. The field of data science has evolved in the past decade at a breathtaking pace. The potential applications and sources for rich datasets have expanded as has the...

How Can Predictive Analytics Help Your Bank or Fintech Company?

 Predictive analytics encompasses a powerful set of methods that uses all the available data an organization can gather to answer key business questions. By enabling financial institutions to make data-driven business decisions, predictive analytics helps drive profit...

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...

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....

Wise Practitioner – Predictive Analytics Interview Series: Robin Thottungal at U.S. Environmental Protection Agency

 In anticipation of his upcoming conference keynote presentation, 21st Century Data-Driven Environmental Protection at Predictive Analytics World for Government, October 17-20, 2016, we asked Robin Thottungal, Chief Data Scientist/Director of Analytics at the U.S. Environmental Protection Agency...

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...

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