Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
FAQ for Eric Siegel’s New Book, “The AI Playbook”
  There are plenty of questions to answer about...
Announcing Eric Siegel’s New Book: The AI Playbook
  Dear Reader, I’m excited to announce the forthcoming,...
Predictive Analytics for the Call Center
 So, you just received your shiny new smart watch....
MLW Preview Video: Gulrez Khan, Data Science Lead at PayPal
 In anticipation of his upcoming keynote presentation at Predictive...

Original Content

Models Are Rarely Deployed – an Industrywide Failure in ML Leadership (Poll Results)

  Originally published in KDnuggets. The latest KDnuggets poll reconfirms today’s dire industry buzz: Very few machine learning models actually get deployed. In this article, I’ll summarize the poll results and argue that this pervasive failure of ML projects comes from a lack of prudent leadership. I’ll also argue that MLops is not the fundamental

Book Review: AI Can’t Come “First”

  A note from Executive Editor Eric Siegel: In this book review, Rich Heimann concludes that the concept of “AI First” only perpetuates the fallacy of AI as a single solution, not to mention continuing the hype...

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...

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....

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