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...

Analytics

Improved Customer Marketing with Multiple Models

 Data miners employ a variety of techniques to develop robust predictive models. Often, our analysts are confronted with a dilemma. Should we construct one model to address the business objective? Or perhaps, multiple models may be in order? Take, for example, a marketer that has a presence on the east coast and in the mid-west.

Analytics make Bright Cellars the Pandora of wine clubs

 Originally published in The Journal Sentinel, June 28, 2017 If the machine-learning algorithm gets it right, you’ll be matched with wines you love. That’s the idea behind Bright Cellars, a Milwaukee-based monthly wine club begun by two...

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...

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...

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...

Book Review: Weapons of Math Destruction by Cathy O’Neil

 Originally published in Analytics Magazine Book: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil (Crown, September 2016) Book review bottom line: Definitely go read this book, despite the fact that...

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...

Wise Practitioner – Predictive Analytics Interview Series: Angel Evan at Angel Evan, Inc.

In anticipation of his upcoming conference co-presentation, Identifying Unique Gamer Types Using Predictive Analytics at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Angel Evan, Founder of Angel Evan, Inc., a few questions about his...

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