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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10 Myths About Predictive Analytics

 Business is tough and competition can be brutal. With many economies still sluggish after the financial Armageddon that caused a mortgage meltdown and the stock market to experience the biggest losses since the Great Depression, it’s never been harder to make a buck. Businesses trying to gain whatever competitive edge they can turned to big

Is “Corporate Talent Management” Dead? What’s Next?

 Josh Bersin will be keynoting at Predictive Analytics World for Workforce: March 31 – April 1, 2015. For more case studies in analytics to solve workforce management challenges visit PAW Workforce. The Epic Shift: Away from “Talent”...

4 Data Management Needs for Fraud Detection

 Efforts are hampered by multiple legacy applications, systems segregated by line of business, disparate SIU case-management systems, and third-party vendor systems that house critical data. A recent report by the Coalition Against Insurance Fraud suggests that insurers...

Six Business Intelligence Predictions For 2015

 Being a data-driven organization requires a combination of analysis and predictions. As we look at the last several years, big data has been the dominant force, moving from a consumer-based requirement to a must-have strategy for enterprises...

Text To HR: Rdy Or Nawt Here Comes 2015

 This article from Forbes covering predictive analytics for workforce interviews the Greta Roberts, program chair for Predictive Analytics World for Workforce, coming to San Francisco DATES — view more info. Human Resources (HR) is being rocked by...

Engineering Data Growth: The March is On

 From office furniture to conveyor belts, forgings, castings and a host of other products, durable goods manufacturer JSJ Corp. ran into the same problem many industrial firms face daily: so many people using so much data in...

Solve the Engineering Data Dilemma

 Big Data has been both hailed as the currency of the Information Age and derided as overhyped. Both statements are true because data immediately loses much of its value if it cannot be properly analyzed and acted...

Big Data and the Internet of Things: Two Sides of the Same Coin?

 For more on the analytics of the Internet of Things, attend Predictive Analytics World for Manufacturing, June 8-11, 2015 in Chicago. Let’s kick this post off with a quick quiz. Read each statement below and determine if...

Solving Big Problems with Big Data

  Big data initiatives can solve some of the most vexing issues in health care. Big data generates a mixture of great promise, fantastic and delusional claims, impressive misunderstanding, and several early examples that are beginning to...

Video: The Power (and Peril) of Predictive Analytics

 This speaker session is from Predictive Analytics World for Business, October, 5–9, 2014 in Boston, MA: (more…)

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