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...

data science

Nine Bizarre and Surprising Predictive Insights from Data Science

  Data is the world’s most potent, flourishing unnatural resource. Accumulated in large part as the by-product of routine tasks, it is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is inherently predictive. Thus begins a gold rush to dig up insightful gems. Does crime increase after

The Trick to Predictive Analytics: How to Bridge the Quant/Business Culture Gap

  This article is excerpted from Eric Siegel’s foreword to the recently released book, Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics, by Jeff Deal and Gerhard Pilcher....

Wise Practitioner – Predictive Analytics Interview Series: Michael Berry of TripAdvisor Hotel Solutions

 In anticipation of his upcoming keynote co-presentation, Picking the Right Modeling Technique for the Problem, at Predictive Analytics World London, October 12-13, 2016, we asked Michael Berry, Analytics Director at TripAdvisor Hotel Solutions, a few questions about...

Exploring the Toolkits of Predictive Analytics Practitioners — Part 2

 Continuing on our discussion from last month on toolkits for practitioners, you will note that I purposely do not make reference to specific brand names and companies. By googling data science software, the user can easily obtain...

Wise Practitioner – Predictive Analytics Interview Series: Dr. Hevel Jean-Baptiste at GE Capital

 In anticipation of his upcoming conference presentation, Importance of Model Risk Management in Financial Institutions at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Hevel Jean-Baptiste, Global Senior Program Manager, Model Risk...

Wise Practitioner – Predictive Analytics Interview Series: Frank Fiorille at Paychex, Inc.

 In anticipation of his upcoming conference presentation, Risk Management Algorithms – Paving the Way to Value Creation at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Frank Fiorille, Sr. Director of Risk...

Wise Practitioner – Predictive Analytics Interview Series: Scott Zoldi at FICO

 In anticipation of his upcoming conference keynote presentation, Fraud Screening for 2/3rds of All Card Transactions: A Consortium and Its Data at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Scott Zoldi,...

Wise Practitioner – Predictive Analytics Interview Series: Thomas Klein at Miles & More GMbH

 In anticipation of his upcoming conference co-presentation, Using Predictive Models for Demand Simulation – Purchase, Response and Uplift Modeling in Practice, at Predictive Analytics World New York, October 23-27, 2016, we asked Thomas Klein, Associate Director Advanced...

Wise Practitioner – Predictive Analytics Interview Series: Meina Zhou at Bitly

 In anticipation of her upcoming conference presentation, Predictive Analytics for Different Business Types:  Optimize All the Funnels, at Predictive Analytics World New York, October 23-27, 2016, we asked Meina Zhou, Data Scientist at Bitly, a few questions...

The Power of Data Science for Predictive Maintenance is Only Just Being Tapped

 Future of Automotive Servicing and Preventive Maintenance Several months ago there was a news item which compared how Tesla, the electric car company addressed a potential recall situation, with how a traditional car company addressed a similar situation. Tesla released...

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