Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
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...

Industry News

Predictive Analytics for Fintech and Banking

 Steven Ramirez is the conference moderator for Predictive Analytics World for Financial, Oct 29-Nov 2, 2017 in New York—where he will also provide the opening keynote, “Chatbots, Robo-Advisors, and AI, Oh My! Predictive Analytics and Machine Learning Case Studies for Financial Services and Fintech.” As social media adoption among consumers continues to accelerate, we’ve seen most

What Is the Best Way to Get More Women into Analytics? Don’t Make Them into Men

  Originally published in Linkedin I recently sat on a panel of “Women in Predictive Analytics”, moderated by Greta Roberts with Jeanne Harris from Columbia University and Lauren Haynes from University of Chicago.  Although the three of us on the panel had never...

Uncle Sam Wants Your Deep Neural Networks

   Originally published in NYTimes, June 22, 2017 SAN FRANCISCO — The Department of Homeland Security is turning to data scientists to improve screening techniques at airports. On Thursday, the department, working with Google, introduced a $1.5 million contest to build computer...

Analytics 101: Assessing Project Value

 The key question that organizations ALWAYS ask when undertaking an analytics initiative is “Can they guarantee value from the project?”   They want to know whether the return on their investment will be positive. But they want this...

If You Build It, Will They Come? Lessons Learned To Improve Model Adoption

 By James Gottshall, Vice President, Strategic Analytics at XL Catlin This article covers a similar theme to the Keynote presentation James Gottshall  will deliver at PAW Financial, Oct 29-Nov 2, 2017 in New York. Think about a...

The Top Five Population Health Questions You Should Be Asking Your Predictive Analytics Professionals

 For more on predictive analytics for healthcare, attend Predictive Analytics World for Healthcare New York, Oct 29-Nov 2, 2017.   With widespread usage of electronic medical records, big data has truly arrived in healthcare. In addition to...

Uplift Modeling: Making Predictive Models Actionable

 Predictive models typically estimate the likelihood of future events, such as whether it will rain tomorrow or which customers are most likely to “churn” by cancelling their phone contract.  In the case of the weather, we do...

Employee Life Time Value and Cost Modeling – Part 2

 The Employee Cost Curve It is simple enough to document the hard costs that make up the initial stages of employee life-cycle. This section will walk through the major cost areas, but the specifics will depend on...

Beware Workforce Vendors Using Predictive Workforce Language But Offering Non-Predictive Solutions

 Talent Analytics, Corp. has a unique approach to workforce predictive analytics.  At our firm, we measure success by how our projects quantifiably benefit the Line of Business.  We watch it, track it, and report success.  Our algorithms...

Artificial Intelligence, Automation, and Predictive Analytics (Part 1)

 Artificial intelligence seems to be the latest term which is capturing the not only the predictive analytics discipline’s attention but the general public as well as seen by the many articles in much of the mainstream media....

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