Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...

Archive for March, 2026

You Must Address These 4 Concerns To Deploy Predictive AI

 Originally published in Forbes Most predictive AI projects fail to launch into production. The number crunching is sound and the data scientist delivers a viable machine learning model – but stakeholder objections sadly preclude deployment. To better meet stakeholders where they are, ML professionals are spearheading a movement to focus on predictive AI’s business value. Rather than sticking with the traditional

How Instacart Uses Machine Learning to Suggest Replacements for Out-of-Stock Products

  Originally published in tech-at-instacart Key contributors: Sharath Rao Karikurve, Jagannath Putrevu, Haixun Wang, Allan Stewart and Weian Sheng Imagine this: You’re at home, preparing to rely on Instacart for your grocery delivery. You’ve carefully chosen each item,...

How to Build a Recommendation System at Scale: Insights from Instacart

 Originally published in Data Tinkerer A Senior ML Engineer’s perspective on production constraints, rules vs ML and the workflow behind large-scale recommender systems Following on from previous posts talking to people in the field, today we will be...