Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
The AI Playbook: Providing Important Reminders to Data Professionals
 Originally published in DATAVERSITY. This article reviews the new...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: Sarah Holder of Duke Energy

 In anticipation of her upcoming conference presentation, It’s Not a Black Box! Explaining Predictive Models to the Masses, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Sarah Holder, Senior Market Research Analyst at Duke Energy a few questions about her work in predictive analytics. Q:  In your work with predictive analytics,

Infographic – Predictive Analytics World by the Numbers

 Predictive Analytics World continues to grow by popular demand. Beginning with the launch of the first PAW conference held in San Francisco in 2009, through the 30 conferences held around the world to date, over 10,000 alumni...

Wise Practitioner – Predictive Analytics Interview Series: Mohamad Khatib of Nielsen

 In anticipation of his upcoming conference presentation, Pizza Analytics & Optimization, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Mohamad Khatib, Sr. Project Manager at Nielsen, a few questions about his work in...

A Critical Step Toward Organizational Data Maturity: Thinking in Terms of Distributions!

 For more from the Josh Hemann, see his presentation on Cheating Detection in Call of Duty at Predictive Analytics World for Business, March 29 – April 2, 2015 in San Francisco. I have done analytics work in...

It is a Mistake to…. Answer Every Inquiry

 (Part 9 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) I’m tempted to start with a kind of query that experience teaches some of us...

Wise Practitioner – Predictive Analytics Interview Series: Dominic Fortin of TD Insurance

 In anticipation of his upcoming conference presentation, A Success Story: Sales and Revenue Forecasting through Predictive Analytics, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Dominic Fortin of TD Insurance a few questions...

5 Ways Retail Predictive Analytics helps Fashion Retailers Maximize Gross Margin

 Fashion retailers have one of the most dynamic environments in the industry. There are new styles and products coming out every single season, forcing retailers to clear those shelves for new merchandise nearly every quarter. Moreover a...

Wise Practitioner – Workforce Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics

 In anticipation of his upcoming conference presentation, A Transaction-Based Approach to Understand Sales Representative Growth, Performance, and Gaming, at Predictive Analytics World for Workforce, we interviewed Pasha Roberts, Co-Founder and Chief Scientist at Talent Analytics Corporation. View the...

Predictive Modeling Skills: Expect to be Surprised

 Excerpted from Chapter 1 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014 Conventional wisdom says that predictive modelers need to have an academic background in statistics, mathematics, computer science, or engineering. A degree in one of...

Big Data: To Analyze or Not to Analyze

 Much has been written about Big Data and how it changes all facets of our lives. But the important and more relevant perspective is the ability to act on the information in real-time. However, this has nothing...

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