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,...

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New Possibilities Using Predictive Analytics

 Predictive analytics make it possible for consumer goods companies to forecast customer behavior, potential risks, product associations and demand, and has usually been considered to be only for those that have a specialized approach to identify anomalies. To succeed in creating effective predictive analytics models that generate actionable findings, organizations need to develop a strategy

Learn from Big Data How to Predict the Future

 Experts believe our collection of Big Data will double every two years until 2020. Much of those digital artifacts come from people like you and me as we “Like” things on Facebook, buy books over the web, post...

Only 17% of Insurers Use Predictive Analytics in Claims: Towers Watson

 However, the seventh installment of the company’s Property & Casualty Claim Officer Survey indicates that use of these technologies is on the rise. Despite many months of commentary indicating the value of predictive analytics in claims, the...

NAR to tackle ‘big data’ with predictive analytics group

 The 1 million-member National Association of Realtors launched a new predictive analytics department today with the rehire of industry veteran Todd Carpenter. NAR first hired Carpenter to manage its online and social media presence in February 2009. In April...

Cloud Predictive Analytics Most Used To Gain Customer Insight

 Using analytics to better understand customer satisfaction, profitability, retention and churn while increasing cross-sell and up-sell are the most dominant uses of cloud-based analytics today. James Taylor will present on these research results at Predictive Analytics World...

Government Data Chiefs Find Varied Measures for Analytics Value

 WASHINGTON—For Michael Wood, who recently retired from his position as executive director of the Recovery Accountability and Transparency Board (RATB), success of his team’s analytics work has been a difficult thing to measure. The RATB was created...

Deathtrap: Overlearning in Predictive Analytics

 I am in the process of gathering survey data for the TDWI Predictive Analytics Best Practices Report.  Right now, I’m in the data analysis phase.  It turns out (not surprisingly) that one of the biggest barriers to...

Army explores predicting suicides as way to prevent them

 A controversial new Army plan would predict which soldiers might kill themselves, potentially enabling military to provide mental health counseling and other services to treat troubled troops. Even as thousands of U.S. servicemembers were dying in Iraq...

Limited role for big data seen in developing predictive models

 Many analytics professionals have high hopes for big data, but speakers at the Predictive Analytics World conference struck a decidedly cautious tone when discussing the concept as it relates to building predictive models. “To me, big data...

Intro To Predictive Analytics Reading List

 Predictive Analytics Is Red Hot Why? What organization couldn’t benefit from making better decisions? Just ask the Obama campaign, which used sophisticated uplift modeling to target and influence swing voters. Or telecom firms that use predictive analytics...

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