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...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

data science

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Richard Semmes at Siemens PLM

 In anticipation of his upcoming Predictive Analytics World Manufacturing Chicago, June 19-22, 2017 conference presentation, Closing the Loop with Predictive Product Performance, we interviewed Richard Semmes, Senior Director, R&D at Siemens PLM. View the Q-and-A below for a glimpse of what’s in store at the PAW Manufacturing conference. Q: What are the challenges in translating the lessons of predictive

If You Build It, Will They Come? Lessons Learned To Improve Model Adoption

 By James Gottshall, Vice President, Strategic Analytics at XL Catlin This article covers a similar theme to the Keynote presentation James Gottshall  will deliver at PAW Financial, Oct 29-Nov 2, 2017 in New York. Think about a...

Wise Practitioner – Predictive Analytics Interview Series: Holly Lyke-Ho-Gland and Michael Sims at APQC

 In anticipation of their upcoming conference co-presentation, Change Management for Establishing a Data-Driven Culture, at Predictive Analytics World for Business Chicago, June 19-22, 2017, we asked Holly Lyke-Ho-Gland, Principal Research Lead at APQC and Michael Sims, Research...

Automation and its impact on Predictive Analytics-Creating the Analytical File

 In my last article, I discussed the increasing impact of automation on business and the displacement of jobs. With artificial intelligence looming as the ultimate disruptor, the overall theme of job displacement has shifted more towards knowledge-intensive...

Wise Practitioner – Predictive Analytics Interview Series: Natasha Balac at Data Insight Discovery, Inc.

 In anticipation of her upcoming conference co-presentation, Identifying Unique Gamer Types Using Predictive Analytics, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Natasha Balac, CEO and Founder of Data Insight Discovery, Inc., a few...

Wise Practitioner – Predictive Analytics Interview Series: Bryan Bennett at Northwestern University

 In anticipation of his upcoming conference presentation, Cross-Enterprise Deployment:  Banking Visualization of Analytics Results – Critical for Communication at Predictive Analytics World for Business Chicago, June 19-22, 2017, we asked Bryan Bennett, Professor at Northwestern University, a...

Uplift Modeling: Making Predictive Models Actionable

 Predictive models typically estimate the likelihood of future events, such as whether it will rain tomorrow or which customers are most likely to “churn” by cancelling their phone contract.  In the case of the weather, we do...

Wise Practitioner – Predictive Analytics Interview Series: David Talby at Atigeo

 In anticipation of his upcoming conference presentation, Semantic Natural Language Understanding with Spark, Machine-Learned Annotators & Deep-Learned Ontologies at Predictive Analytics World San Francisco, May 14-18, 2017, we asked David Talby, Chief Technology Officer at Atigeo, a...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Haig Nalbantian at Mercer

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, The Pay Equity Revolution:  How Advanced Analytics are Helping to Close the Gender Pay Gap in Organizations, we interviewed Haig Nalbantian, Senior Partner, Co-leader Mercer Workforce...

Employee Life Time Value and Cost Modeling – Part 2

 The Employee Cost Curve It is simple enough to document the hard costs that make up the initial stages of employee life-cycle. This section will walk through the major cost areas, but the specifics will depend on...

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