Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Industry News

How to win your marketing team over to the data side

 We ask five industry experts including heads of marketing and big data analytics to share their tips on how to get your team and organisation behind data analytics For the few stragglers who haven’t managed to be swept up in the data revolution, industry research and results point to data-driven marketing being THE way forward

Data Privacy: A Key Link in Analytics ROI

 The analytics market has expanded. Where there was once only reactive analysis, prescriptive options have arrived, which are able to identify midsize issues and suggest timely correction. Predictive analytics has seen an upswing in adoption thanks to...

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...

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...

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...

Opening Cross: The Power of Predictive Analytics to Simplify Content Complexity

 Prediction need no longer be viewed as a dark art, as the ability to more accurately predict price activity becomes a reality. Aside from predictive text, which can be both a blessing and a curse, and the...

Big Data’s Greatest Power: Predictive Analytics

 See also the very-similarly entitled prior article the Predictive Analytics Times executive editor Eric Siegel, “The Greatest Power of Big Data: Predictive Analytics.“ There’s hardly an article, news story, webinar, or whitepaper these days that talks about...

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