Attributed metadata history
Up to 100 retained publisher events per page for 1326484f7a7cd87966690290f5eb875fe58be84a22a0331e87684c99c8333d66. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
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.The goal is not to sell artificial intelligence; it is to use it to deliver useful expertise at the moment a customer needs it. In retail and other customer-facing industries, virtual assistants can help people address everyday questions—such as how to repair a leaky faucet—while guiding them toward relevant products, services, or next steps. As these capabilities become more common, technology roles are changing. The work is no longer limited to building AI systems; it also includes defining how they operate: which decisions they can make autonomously, when they must escalate to a person, and which actions must remain off-limits.That shift—from building AI systems
Fingerprint: d22f7e7defaee18c4cc675ef74f5f8e71246e8ba9fdf94d215314ee3e00b9447
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
available
Fingerprint: 6ab66bf670ba3f01aa469a19a61354be9b2f1c174649ee36eccd41ac913c914b