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

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 to stay competitive. This data revolution is seeing accelerated technology adoption curves and is forcing job roles to

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...

Detecting the Insider Threat – How to Find the Needle in a Haystack?

 How data science can help detect and prevent the insider threat In the previous posts, we have examined the insider threat from various angles and we have seen that insider threat prevention involves the information security, legal...

How UPS Uses Analytics to Drive Down Costs (and No, it Doesn’t Call it Big Data)

 Jack Levis will be keynoting at Predictive Analytics World conference in San Francisco Tuesday, March 31, 2015 and in Chicago June 2015. When you have an organization the size of UPS – with 99,000 vehicles and 424,000...

Storm or Spark: Choose your Real-Time Weapon

 Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here’s how to choose between them. The idea of real-time business intelligence has been around for a while (see the...

Why Health Care May Finally Be Ready for Big Data

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. There has been a lot of buzz about “big data” over the last few years. This is hardly surprising, given...

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