6 Guidelines for Governing AI
TL;DR
For the first 10 years of my career, I worked in product management and data analytics by myself. I wrote database queries that pulled numbers out of corporate systems, built statistical models to predict what customers would buy, and shipped data pipelines that moved information between business systems. I built and scaled analytics teams at Best Buy and Target, studying how customers shop and what stores should stock. Today I lead enterprise AI transformation at Lowe’s, the Fortune 100 home improvement retailer.
Nauti's Take
For small teams, the first question before any pilot should be: which specific customer decision should the assistant improve, and which data is it allowed to use? The six guidelines sound plausible, but this excerpt leaves their operational detail unverified.
Start by testing answer quality, source grounding, and human escalation on real customer cases.
Sources