Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
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...

Business Analytics

To Deploy Machine Learning, You Must Manage Operational Change—Here Is How UPS Got It Right

 Originally published in Harvard Data Science Review. For more about the trials and tribulations UPS overcame on its road to success, see Eric Siegel’s new book, The AI Playbook.  Free book: Come to Machine Learning Week – June 4-7, 2024, in Phoenix, AZ – to meet author Eric Siegel, the event founder, and receive a complimentary

PAW Preview Video: James Taylor, Decision Management Solutions

 In anticipation of his upcoming presentation at Predictive Analytics World Business, Las Vegas, June 19-24, 2022, James Taylor, CEO at Decision Management Solutions, provided a brief video overview of his PAW Business presentation, Get Better Results by...

Three Common Mistakes That Can Derail Your Team’s Predictive Analytics Efforts

  Originally published by Harvard Business Review With today’s high demand for data scientists and the high salaries that they command, it’s often not practical for companies to keep them on staff.  Instead, many organizations work to...

Wise Practitioner – Predictive Analytics Interview Series: Kristina Pototska at TriggMine

 In anticipation of her upcoming conference presentation, 7 Examples of Customer Retention with Predictive Email Marketing at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Kristina Pototska, CMO at TriggMine, a few questions about her...

Wise Practitioner – Predictive Analytics Interview Series: Frédérick Guillot at The Co-operators General Insurance Company

 In anticipation of his upcoming conference presentation, Defining Optimal Segmentation Territories – 10 Years of Research at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Frédérick Guillot, Senior Manager, Research and Innovation at The Co-operators...

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...

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: Madhusudan Raman at Verizon

 In anticipation of his upcoming conference presentation, Best Practices Enhancing Contextual Experience with Predictive Analytics, at Predictive Analytics World New York, October 23-27, 2016, we asked Madhusudan Raman, Innovation Incubator at Verizon, a few questions about his...

Need a Data Scientist? Try Building a ‘DataScienceStein’

 Organizations are finding that hiring qualified Data Scientists is a real challenge. Experienced Data Scientists are expensive and are usually employed elsewhere. This high demand, low supply economics is leading to a situation of the ‘haves’ versus...

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