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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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 provider of pricing and customer analytics to banks and insurers, and ISO, the Verisk property/casualty insurance rate and

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...

Neil Lustig: Intuition vs. big data and predictive analytics

 Albert Einstein once said, “The only real valuable thing is intuition.” While nobody can deny Einstein’s supreme intellect, I must respectfully disagree. Instinct is invaluable in many aspects of life, but I have learned throughout my career...

How data mining can boost your revenue by 300%

 For months, women’s fashion retailer Sway struggled to lure customers to its newly launched website by blasting them with sporadic emails. “It was pretty sad,” said Cheyanne Sequoyia-Mackay, Sway’s marketing manager. “Only about 20% of our customers...

Data Scientists Are the New Rockstars

 Traditionally, when you ask kids what they want to be when they grow up, inevitably they will mention something exciting and glamorous. They’ll say something like an astronaut, an NFL quarterback, a rapper, a doctor or a...

Readmissions ‘Drop Like a Rock’ with Predictive Modeling

 Predictive modeling offers the key to understanding which healthcare services most affect utilization, readmissions, and payment, and how to tackle the outliers. These analytics are within the grasp of any healthcare system. Somewhere out there, a hospital...

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