Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

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Big Data or Big Deal? Why You Should Hug Your Analytics Specialist

 It’s impossible to escape the terminology Big Data these days. It’s taken on faddish dimensions of popularity with various theories and ideas proposing the best way to tackle and manage the increasing amounts of information we generate and record. The reality is that most data is unusable to most businesses due to various regulations including

Contradictions of Big Data

 What we’ve been told We’ve been told that Big Data is the greatest thing since sliced bread, and that its major characteristics are massive volumes (so great are they that mainstream relational products and technologies such as...

How Analytics Drives Talent Development

 For more from Gene Pease, see his presentation on Predictive Analytics – What’s Next in 2015? at Predictive Analytics World for Workforce, March 29-April 2, 2015 in San Francisco. Organizations are increasingly relying on advanced analytics to...

Why a Chief Data Scientist in the White House is a Big Deal for Healthcare

 We are in an exciting but early stage of unleashing the power of big data for overall improvements in standard of living and quality of life – healthcare stands to benefit greatly from a rigorous application of...

Using Decision Modeling to Make Predictive Analytics More Pervasive

  For more from James Taylor, see his presentation on Decision Modeling for Predictive Analytic Projects at Predictive Analytics World for Business, March 29-April 2, 2015 in San Francisco. Back in May of last year, Wayne Eckerson...

Which Came First? The Chicken or the Egg… Data Science Can Help

 Imagine that you are a professional observer with a magic telescope. Like ordinary telescopes, it lets you see things that are far away, but this one is attached to a magic screen, so I can use it...

Baptist Health sees Big Payoff Using Predictive Analytics

 For more on healthcare applications of predictive analytics, attend Predictive Analytics World for Healthcare, September 27 – October 1, 2015 But new area of business intelligence does not come without challenges. Hospitals and health systems can be...

How Predictive Analytics Reinvents These Six Industries

 Predictive analytics is a game-changer — it’s like “Moneyball” for… money. This article summarizes and links resources with late-breaking coverage of how predictive analytics reinvents six industries. I’m going to break it to you gently. Despite all...

Predictive analytics forecast for HR software in 2015

 For more on the application of predictive analytics for HR, attend PAW Workforce, March 31-April 1, 2015 Experts in HR and financial software are predicting that 2015 could produce some important breakthroughs in the use of predictive...

Analytics 2015: ‘BI is dead: Predictive is the new black’

 2015 will be the year that predictive analytics obtains significant market gains in everything from the industrial Internet to consumer devices. Here’s what Simon Arkell, CEO, Predixion Software, expects predictive analytics to look like in 2015: Predictive...

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