Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
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...

Archive for November, 2013

It is a Mistake to…. Ask the Wrong Question

 (Part 4 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) It is very important to have the right project goal; that is, to aim at the right target. This was exemplified (in a positive way) by a project at Shannon Labs, led by

Data Repurposing: The Underpinning of Predictive Analytics?

 C-suite executives are at once enamored and afraid of big data. The notion of information created moment-to-moment and with every action of a company hints at massive analytics opportunity, but it can seem simultaneously overwhelming. Increasingly, IT...

The Privacy Pickle: Hewlett-Packard’s Prediction of Employee Behavior

 Hewlett-Packard (HP) knows there are two sides to every coin. The company has achieved new power by predicting employee behavior, a profitable practice that may raise eyebrows among some of its staff. HP tags its more than...

The Care and Feeding of Data Scientists

 CIOs must encourage data scientists to solve real business problems, not just play with data. As more organizations hire data scientists–especially for predictive analytics projects–IT leaders are discovering that managing people who can turn data into ideas...

Selecting Mathematical Models With Greatest Predictive Power: Finding Occam’s Razor in an Era of Information Overload

 How can the actions and reactions of proteins so small or stars so distant they are invisible to the human eye be accurately predicted? How can blurry images be brought into focus and reconstructed? A new study...

What Role can Network Analysis play in Business Intelligence?

 Network analysis is an emerging Business Intelligence technique that’s increasingly used in risk management, social network analytics, banking, telecommunication analytics, bioinformatics, criminal intelligence, and human resources planning. Sometimes the term Network Analysis (or Network Analytics) is mixed...

IBM’s Jeff Jonas on Baking Data Privacy into Predictive Analytics

 Privacy by Design, an outlook toward software development developed in the 1990s, urges companies to bake privacy protection features into its analytic systems and processes from their conception. While many executives have supported the notion of anonymizing...

The Data Behind Data Scientists: Top Kaggle Performers

 Kaggle, an online platform that hosts data analytics competitions, allows companies to tap into the expertise of data gurus to tackle specific company issues (and possibly reap prizes and job offers, if successful). With more than 100,000...

It’s Predictive Analytics, not Forecasting!

 This is my final article for this year. It’s hard to imagine that it’s almost 2014, and yet I can’t tell you how many times I’ve found myself in the following situation: I meet someone at a...

How Talent Benchmarking Slashed Call Center Attrition

 Pasha Roberts will present at PAW San Francisco on this case study. A call center for a global financial firm had a problem – attrition. In order for a new employee to even be permitted to speak...

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