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,...

healthcare

Five Challenges in Using Predictive Analytics to Improve Patient Outcomes

 In the increasingly patient-centric world of healthcare, predictive analytics has taken firm hold as a means for healthcare organizations to improve patient outcomes. Predictive models for determining patient responses to medication, lowering hospital readmission rates, assessing risk of disease breakout, and other uses are being implemented for superior disease management and care delivery. Similarly, in

CVS and IBM Team Up to Predict Patient Health

 CVS Health and IBM say they’ve formed a partnership designed to better predict deteriorating health of the pharmacy giant’s customers through predictive analytics. IBM’s Watson, the computer giant’s artificial intelligence system, hopes to bring better care coordination...

Wise Practitioner – Predictive Analytics Interview Series: Chris Franciskovich at OSF Healthcare System

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7 Pain Points of Big Data

 Many data centers are finding it hard to keep pace with the demands growing information sets are putting on them Hospital datacenters are being overwhelmed by the ongoing data explosion. Pushed to acquire, analyze, secure and deliver...

Health Care Industry Recognizes the Value of Big Data

  Use code: PATIMES15 for 15% of a two-day Conference pass. Despite challenges such as a lack of standardization of data, the health care industry is taking steps to give doctors insight on how to improve patient...

The Underexploited Big Data Sweet Spot for Healthcare

 Use code: PATIMES15 for 15% of a two-day Conference pass. Find out what’s a barrier to entry for healthcare marketing analytics, as well as what these institutions are hoping to learn and gain from big data. Operating...

MIT researcher discusses a new study on correlations among medical problems

 3 Questions: Carlo Ratti on big data and health predictions What can big data tell us about the predictability of medical conditions? A new study by MIT researchers published in the journal Scientific Reports digs into this...

Why is Big Data so Big in Health Care?

 Far and away, the industry that pops up the most in discussions of big data is health care. It’s not surprising, if you think about it. Lots of disparate sources of data, much of it unstructured. An...

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...

When a Health Plan Knows How You Shop

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 6-7, 2014 in Boston. Koren Shadmi There may be a link between your Internet use and how often you end up in the...

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