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

Wise Practitioner – Predictive Analytics Interview Series: Jack Levis of UPS

 In anticipation of his upcoming conference keynote presentation, UPS Analytics – The Road to Optimization, at Predictive Analytics World for Business Chicago, we asked Jack Levis – Senior Director, Process Management at UPS, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A:

Four Use Cases for Healthcare Predictive Analytics, Big Data

 Predictive analytics in healthcare has long been the wave of the future: an ultimate goal to which everyone aspires but few can claim success.  While the landscape is changing for healthcare predictive analytics as more organizations figure...

Emerging Tech Trends in 2015? It’s All About the Data

 There is a simple explanation for the 400 percent increase over the last five years in federal agencies’ investments in predictive analytics: Too much data. “The exponential growth in structured and unstructured data is the backdrop of future...

Predictive Analytics: Turning Data Into Inventory Insights

 For more case studies on Predictive Analytics and Manufacturing, check out PAW Manufacturing, June 8-11. 2015 in Chicago. Picture this: a shop floor manager sits, hunched over the desk. It’s late, long past the shift change but he’s...

Using Decision Modeling to Make Predictive Analytics More Pervasive

  For more from James Taylor, see his presentation on Decision Modeling for Predictive Analytic Projects at Predictive Analytics World for Business, March 29-April 2, 2015 in San Francisco. Back in May of last year, Wayne Eckerson...

Analytics 2015: ‘BI is dead: Predictive is the new black’

 2015 will be the year that predictive analytics obtains significant market gains in everything from the industrial Internet to consumer devices. Here’s what Simon Arkell, CEO, Predixion Software, expects predictive analytics to look like in 2015: Predictive...

Can mHealth, Predictive Analytics Improve Care Coordination?

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. Providers are seeking value in mHealth, but better predictive analytics may be required to make patient-generated health data truly effective....

Predictive Analytics Have the Highest Value, So Why Are Utilities Analyzing the Past?

 Many utilities are realizing that the huge amount of granular data coming at them can be leveraged to tackle their biggest challenges, such as distributed generation and engaging consumers beyond traditional power delivery. A growing number of...

Predictive Analytics World Delivers the Promise of Big Data to Boston

 With only hindsight being 20/20, predictive analytics is being used by businesses to predict customer behavior, future market conditions and obstacles that were once unforseen. Accenture released their research on 600 business executives that said their companies...

Five expert tips to bring your employee churn to a halt

 For more case studies in employee churn, see Predictive Analytics World for Workforce, March 31-April 1, 2015 in San Francisco. Greta Roberts will be keynoting. The importance of finding the right employee from the start may seem...

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