Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why You Must Twist Your Data Scientist’s Arm To Estimate AI’s Value
 Originally published in Forbes, June 11, 2024. If you’ve...
3 Ways Predictive AI Delivers More Value Than Generative AI
 Originally published in Forbes, March 4, 2024. Which kind...
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
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...

Original Content

Mid-Life Journey to Data Science

 Data Science has been hailed as the sexiest job of the 21st century. This news has understandably had an influence over today’s college undergraduates and even high school students. But can a person who is mid-career — who has invested proverbial blood along with real sweat and tears into a different path — act on

Wise Practitioner – Predictive Analytics Interview Series: Dr. Patrick Surry of Hopper

 In anticipation of his upcoming keynote conference presentation, Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Dr. Patrick Surry, Chief Data...

What are you Predicting in Customer Retention?

 Customer Retention models are arguably the most valuable models that organizations can develop in improving overall customer profitability. The ability to target high value customers who are most likely to defect or become inactive allows organizations to...

Wise Practitioner – Predictive Analytics Interview Series: Ken Elliott at Hewlett Packard Enterprise

 In anticipation of his upcoming conference presentation, Operationalizing Analytics: 10 Key Process Areas for Embedding Predictive Analytics into Business Operations, Applications and Machines, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Ken Elliott, Global...

Wise Practitioner – Workforce Predictive Analytics Interview Series: Holger Mueller at Constellation Research

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, The State of Predictive Analytics for Workforce in Enterprise Applications, we interviewed Holger Mueller, Principal Analyst & Vice President at Constellation Research, Inc. View the Q-and-A below to...

Wise Practitioner – Predictive Analytics Interview Series: Lawrence Cowan at Cicero Group

 In anticipation of his upcoming conference presentation, Predicting the Extent and Cost of Online Attacks to Help Sell Security Software, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Lawrence Cowan, Partner at Cicero Group,...

Hey FinTech, What’s Your Strategy for Leveraging Unstructured Data?

 Financial technology has sparked a global wave of startups who are rethinking how people make and receive payments. These fintech providers have a unique challenge when it comes to satisfying their target audiences. Not only do these...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Raffael Devigus at F. Hoffmann-La Roche AG

 In anticipation of his upcoming Predictive Analytics World for Workforce conference co-presentation, The Predictive Workforce Analytics Journey at F. Hoffmann-La Roche, we interviewed Raffael Devigus, Management Reporting Analyst at F. Hoffmann-La Roche AG. View the Q-and-A below to see how...

Wise Practitioner – Predictive Analytics Interview Series: Rebecca Pang at CIBC

 In anticipation of her upcoming conference presentation, Driving the Omnichannel Experience with Predictive Analytics at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Rebecca Pang, Senior Director, Channel Strategy & Analytics at CIBC, a few...

Employee Engagement – a Tricky Metric for Predictive Analytics

 Our work focuses on using predictive analytics to decrease employee turnover or increase employee performance. We work with our customers to define the problem to solve, and then together identify useful data inputs to include in predictive...

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