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,...

Industry News

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 Big Data that doesn’t also talk about predictive analytics. In fact, I contribute to that body of work

Utility Improves Collections Through Predictive Analytics

 When you turn on the lights, turn up the air conditioning or plug in an electric vehicle, it generates data. As the push for smarter infrastructure puts pressure on energy professionals to innovate their business models, they...

5 Ways To Leverage Predictive Customer Intelligence For Improved Customer Retention And Loyalty

 A deep understanding of customer behavior and what makes them “tick” is key to good marketing. Understanding purchasing behavior allows retailers to optimize their marketing campaigns, improve customer experiences, and enhance retention and loyalty. Recent studies have...

Best Thinker Webinar: Making Predictive Analytics Productive

 This week we held another webinar in our Best Thinker webinar series, this time on the topic of Predictive Analytics.  The webinar included speakers such as Eric Siegel, the founder of Predictive Analytics World and author of...

Use of Predictive Models Widespread in P/C Insurance: Survey

 A survey of North American insurance professionals reveals widespread use of predictive analytics in the property/casualty insurance industry, with as many as 82 percent responding that they use predictive modeling in one or more lines. Earnix, a...

How uplift modeling helped Obama’s campaign — and can aid marketers

 The Obama campaign’s Daniel Porter will be presenting on his work with uplift modeling at PAW San Francisco (March 2014) and PAW Chicago (June 2014). Watch the interview with the Obama campaign’s Daniel Porter. How uplift modeling...

Predictive Analytics: Understanding Customers and Boosting Business

 As buyer behavior is in a constant state of flux, understanding customers can feel as overwhelming as understanding the opposite sex.  While there is no “Businesses Are From Mars, Customers Are From Venus” book to simplify everything,...

Collect More Cash with Predictive Analytics

 The economic changes of the past five years have had a major impact on the collections industry. Collectors traditionally viewed customers in black-and-white classifications of having either “good credit” or “bad credit.” As the economy declined, the...

Why Supply Chains Need Business Intelligence

 Companies that want to effectively manage their supply chain must invest in business intelligence (BI) software, according to a recent Aberdeen Group survey of supply chain professionals. Survey respondents reported the main issues that drive BI initiatives...

The human edge of Big Data

 The Big Data market is on the verge of a new era, with information becoming more accessible through a combination of self-service capabilities and advanced visualization features. Edd Dumbill, the vice president of strategy for Silicon Valley...

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