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,...

Predictive Analytics

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How to Calculate the Optimal Safety Stock using Retail Predictive Analytics.

In a perfect world, a retailer knows exactly how much demand they can expect, they order just enough inventory from their vendors and suppliers to completely sell it throughout their stores by the end of the given period or season. Warehouses are only used as cross-docks which streamline the supply chain from point of origin to point...

Using Predictive Analytics to Make your Data Actionable (part 1)

 If we were able to predict the future, we would be able read the minds of our customers and know exactly what they wanted.  The closest we can get to this supernatural ability is utilizing predictive analytics...

SEC taps analytics to predict risk

 The Securities and Exchange Commission is using predictive analytics to evaluate risks facing the brokerage industry regulated by the agency and, potentially, to pinpoint firms headed for trouble. Beginning this financial quarter, the SEC’s newly created Division...

When Analytics Can’t Save You

 Security analyst Bruce Schneier’s post on the apparent failure of the U.S. government to stop Syria’s alleged use of chemical weapons holds lessons for Big Data and CIOs. Security analyst Bruce Schneier’s post on the apparent failure...

Big Data, Mobility, Cloud Technologies Put Pressure on Federal IT

 To overcome these challenges, network managers expect to transform almost half of their agency’s infrastructure by 2015. Federal agencies plan to fully deploy data center consolidation, mobility, security, big data and cloud computing (the Big Five) efforts...

How predictive analytics will power the internet of things

Recently, Nissan Motor announced that they will release a self driving car by 2020. According to Karl Brauer of Kelley Blue Book, “The technology to create self-driving cars is already here, as sci-fi as it...

Predictive Analytics in the Cloud: Use Cases, Trends and Big Data

 In 2011 Decision Management Solutions conducted a survey and associated research on the use of predictive analytics in the cloud. While it may not seem like that long ago, back then predictive analytics was just beginning to...

Prediction Isn’t Just About Stocks. Predictive Persuasion

Prediction isn’t just for the stock market. Trading is just one of many ways to cash in on quantitative foresight. For mass marketing – and even presidential campaigns – it’s another story. In those areas, putting odds...

Predictive Analytics in Software: Focusing on Automation

 Once you have identified decisions that could usefully be improved by predictive analytics you must develop predictive analytic models for each decision. Each decision is going to require a different predictive analytic model, perhaps several. Some predictive...

Carpe Datum Interviews Eric Siegel on Predictive Analytics’ Adoption & Competitive Advantage

 Dr. Eric Siegel, author of “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die”, answers questions about data, black swans, persuasion models and insights from 147 analytics case studies. Carpe Datum Rx Interview....

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