Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...

Original Content

AnalyticOps: A New Organizational Role So Your Company Can Monetize Analytics

 There is no doubt that data science–and predictive analytics– are the next wave of investments aimed to create significant improvements to corporate bottom lines. With the advent of new capabilities, however, generally comes a commensurate amount of complexity and challenge. In the new era of analytics, many companies struggle to properly connect three key divisions:

Wise Practitioner – Predictive Analytics Interview Series: Gary Neights at Elemica

 In anticipation of his upcoming conference presentation, Predicting Behavior in Chemical Industry Supply Chains, at Predictive Analytics World New York, October 23-27, 2016, we asked Gary Neights, Senior Director at Elemica, a few questions about his work...

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...

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 –...

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