Predictive Analytics Times
Predictive Analytics Times
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Predictive Analytics

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 and increase efficiency. In the rapidly changing banking industry, customer insights can also fuel initiatives to improve customer

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...

Wise Practitioner – Predictive Analytics Interview Series: Miguel Castillo at U.S. Commodity Futures Trading Commission

 In anticipation of his upcoming conference co-presentation, Words that Matter:  Application of Text Analytics at the U.S. Commodity Futures Trading Commission, at Predictive Analytics World for Government, October 17-20, 2016, we asked Miguel Castillo, Assistant Inspector General...

Wise Practitioner – Predictive Analytics Interview Series: Michael Berry of TripAdvisor Hotel Solutions

 In anticipation of his upcoming keynote co-presentation, Picking the Right Modeling Technique for the Problem, at Predictive Analytics World London, October 12-13, 2016, we asked Michael Berry, Analytics Director at TripAdvisor Hotel Solutions, a few questions about...

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...

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