Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...

Original Content

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 has experience in the public and social sector, healthcare, energy and basic materials.  He holds a B.A. in astrophysics

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.

Liftoff: The Basics of Predictive Model Deployment

  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. Developing a good predictive model with machine learning isn’t the end...

Wise Practitioner – Predictive Analytics Interview Series: Markus Larsson at Palo Alto Research Center (PARC)

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Wise Practitioner – Predictive Analytics Interview Series: Alexander Wu at Nauto

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