Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Original Content

Video – Career Paths in Analytics and Data Science and Analytics Team Building

 Event: Machine Learning Week 2021 Keynote: Career Paths in Analytics and Data Science and Analytics Team Building Speaker: Meghan Anzelc, Head of Data & Analytics, Spencer Stuart Bio:  Meghan Anzelc Head of Data & Analytics Meghan joined Spencer Stuart in July 2018 leading data and analytics for the firm. She is responsible for creating and implementing a strategy

What Percentage of Your Machine Learning Models Have Been Deployed?

  Do your models usually get deployed? Or are many of even your best models never actually launched into production? We want to know: What Percentage of Your Machine Learning Models Have Been Deployed? Industry buzz indicates...

Video – Credit Models, Microfinance, and Improving the Lives of Families in the Developing World

 Event: Machine Learning Week 2021 Keynote: Credit Models, Microfinance, and Improving the Lives of Families in the Developing World Speaker:  Aric LaBarr, Associate Professor of Analytics, Institute for Advanced Analytics at NC State University Bio:  A Teaching Associate Professor in the Institute...

Video – Identifying Program Effectiveness for Survivors of Human Trafficking from Muneeb Alam of QuantumBlack

 Event: Machine Learning Week 2021 Keynote: Identifying Program Effectiveness for Survivors of Human Trafficking and Slavery Speaker: Muneeb Alam, Specialist, Data Science, QuantumBlack, a McKinsey company Bio:  Muneeb Alam is a data science specialist at QuantumBlack, a McKinsey Company. He...

Video – How to Use AI Ethically from Natalia Modjeska of Omdia

 Event: Machine Learning Week 2021 Keynote: How to Use AI Ethically Speaker: Natalia Modjeska, Research Director at Omdia (part of Informa Tech) Bio:  Natalia Modjeska is a Research Director at Omdia (part of Informa Tech) where she leads the team...

Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon

 Event: Machine Learning Week 2021 Keynote: Alexa On The Edge – A Case Study in Customer-Obsessed Research Speaker: Nathan Susanj, Applied Science Manager at Amazon Bio: Previously Nathan was a data scientist on the Wells Fargo Enterprise Analytics and...

Why AI Isn’t Going to Replace Data Scientists Any Time Soon

 Should data scientists consider AI a threat to their short- or even long-term job security? In this article, I present a philosophical argument that adamantly argues, “No.” For the work of data scientists, and human endeavors in...

“Doing AI” Is a Mistake that Detracts from Real Problem-Solving

  A note from Executive Editor Eric Siegel: Richard Heimann’s forthcoming book, Doing AI, takes on the problems with “AI” as a brand with a style so crisp, clear, and unique, it just pops off the page....

Getting the Green Light for a Machine Learning Project

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Originally published by SAS Blogs How do you internally sell a...

Real-Time Machine Learning: Why It’s Vital and How to Do It

Organizations often miss the greatest opportunities that machine learning has to offer because tapping them requires real-time predictive scoring.

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