Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Predictive Analytics

Do Predictive Workforce Analytics Actually Work?

 Recently HR industry expert and father of the HR Tech conference, Bill Kutik, wrote about the hype around predictive analytics. In his article, he quotes Constellation Research analyst Holger Mueller saying, “It all comes down to whether the models ‘really work’ when applied across a variety of customers with very different data landscapes.” See Holger’s

5 Types of Analytics in Business: One to Go After and One to Avoid

 I have been lucky enough to work in some form of analytics for the past 15 years. In the last five especially, there has been an explosion in opportunities and applications as well as software tools. Lately,...

NorthShore University Using Predictive Analytics for On-Demand Healthcare Staffing

 Clean data, support for stakeholders such as the emergency room, a good data warehouse infrastructure is needed. When NorthShore University Health System did an analysis of needed staffing levels, they found, to their surprise, that Tuesdays were...

Continuous Evaluation, Social Media Remain Sticking Points for Insider Threat Policy

 Harnessing the power of predictive analytics will help agencies develop their insider threat initiatives from programs that react to an incident, to ones that prevent them. Programs within the intelligence community are more mature, while others like...

The Beginner’s Guide to Predictive Workforce Analytics

 Human Resources Feels Pressure to Begin Using Predictive Analytics Today’s business executives are increasingly applying pressure to their Human Resources departments to “use predictive analytics”. This pressure isn’t unique to Human Resources as these same business leaders...

Predictive Modeling Forensics: Identifying Data Problems

 Excerpted and modified from Chapters 3 and 4 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014 The Data Understanding stage of a predictive analytics project is intended to uncover the characteristics of the data available for...

How The New York Times Uses Predictive Analytics Algorithms

 Most print media companies have struggled to make money in the 21st century, but The New York Times is using predictive analytics tools to gain a competitive edge. In the middle part of the last decade, when...

Five Wins for Retail with Predictive Analytics

 We’ve heard a lot about how big data is changing the world, and even more about the changes that are still to come. There is more data collected now than at any other point in history, but...

As Health Apps and Predictive Analytics take Hold, Experts say Ethical Standards are Needed

 As healthcare providers collect more data on patients than ever, and plan to use to predict care episodes, healthcare need to understand the ethical implications, according to experts speaking at the Predictive Analytics World Healthcare conference in...

Business Focus is Key when Applying Predictive Analytics Models

 Predictive analytics modeling requires statistical and technical prowess, but modelers shouldn’t overlook the business problem they’re trying to solve. At the oil and gas drilling company Halliburton, traditional BI is still important, but there is a growing...

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