Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...

Left-hand

Human Element Improves Predictive Analytics Success

 While other analytics methods analyze past events, monitor real-time ones, or provide operational reporting, predictive analytics attempts to divine the future. For this reason, predictive analytics resides at the bleeding edge of data science. But predictive analytics isn’t easy, technically or philosophically. “How do you recognize the inflection points?” asked Thomas Hill, vice president of

Your Doctor Knows You’re Killing Yourself. The Data Brokers Told Her

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 6-7, 2014 in Boston. You may soon get a call from your doctor if you’ve let your gym membership lapse, made a habit...

When a Health Plan Knows How You Shop

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 6-7, 2014 in Boston. Koren Shadmi There may be a link between your Internet use and how often you end up in the...

Making the Case

  Load One expediter Tom Evans drives team with his wife, Tina, running a three-truck Class 8 straight truck fleet based in Mattoon, Ill. Besides their compensation for doing their jobs the right way, the Evanses are...

5 Big Data Vendors To Watch

  Big Data is often associated with big vendors—the likes of IBM, Oracle and SAP. But the industry is also full of up and comers and niche specialists that could make an impact on a market said...

What’s machine learning? It depends on who you ask

  As interest in machine learning has grown, its definition has expanded to include a panoply of techniques for automating knowledge and pattern discovery from fresh data Data scientists are professionals who use the most appropriate tools...

Why text analytics is so important in search

 Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results...

Making The Business Case For Predictive Talent Analytics

 A financial services powerhouse faced a 60 percent turnover rate among its 30,000 call-center reps. Leveraging predictive talent analytics, the organization reduced turnover by 30 percent and saved $5 million in the first year alone. A major...

Did Target Really Predict a Teen’s Pregnancy? The Inside Story

 We examine the origin and the facts behind this explosive story, the importance of headlines, and how unsubstantiated assumptions gain traction and mainstream attention and help create myths around Predictive Analytics. “How Target Figured Out A Teen...

It’s Already Time to Kill the “Data Scientist” Title

 What does it mean today to say your are—or want to be, or want to hire—a “data scientist?” Not much, unfortunately. The job title has almost as much ambiguity as the term “Big Data.” If you really...

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