Sparks & Signals: An AI-Powered Audio TLDR

When the Numbers Look Fine and the Business Isn't

16 min · 11 de may de 2026
Portada del episodio When the Numbers Look Fine and the Business Isn't

Descripción

Most retail analytics platforms are built around queries. You form a hypothesis, build a report, get an answer. The limitation is that the most valuable insights are often hiding in questions nobody thought to ask. This is a spotlight on Microsoft partner DataGenie, and how their approach to proactive, continuous analytics changes that equation for retail and CPG teams, and why the difference between finding an insight on Monday versus three weeks later matters more than most organizations realize.

Comentarios

0

Sé la primera persona en comentar

¡Regístrate ahora y únete a la comunidad de Sparks & Signals: An AI-Powered Audio TLDR!

Prueba gratis

Empieza 7 días de prueba

$99 / mes después de la prueba. · Cancela cuando quieras.

  • Podcasts solo en Podimo
  • 20 horas de audiolibros al mes
  • Podcast gratuitos

Todos los episodios

88 episodios

episode From Photo to Figurine: An Autonomous Retailer Run Entirely by Agents artwork

From Photo to Figurine: An Autonomous Retailer Run Entirely by Agents

What happens when you let AI agents run an entire retail store? I just published my second experiment in autonomous retail. The first was a store that scanned trending news and auto-designed viral t-shirts. This one is Mini Me: upload a photo, and a pipeline of agents turns it into a 3D-printed figurine of you, a loved one, or your pet. Both were really experiments to teach myself how to build and coordinate agents by running something real instead of a toy demo. The biggest lesson? The breakthrough came when I stopped making my agents rebuild everything from scratch and started treating them as operators that drive existing tools, like having an agent run Meshy AI for the 3D models and Printfield for printing and shipping.

30 de may de 202623 min
episode Why the Future of Work Will Be Built on Internal Reinvention artwork

Why the Future of Work Will Be Built on Internal Reinvention

A recent conversation with my old friend Audrey Piquemal got me thinking about how enterprises are approaching workforce transformation in the #AI era. Merci, Audrey! Too often, companies respond to change by replacing experienced employees with newer and cheaper talent. It may improve short-term financials, but it also strips away institutional knowledge, customer context, and operational judgment that take years to build. As AI takes over more routine execution, those human capabilities may become even more valuable. I wrote about why the future may belong to organizations that focus less on replacement and more on reinventing the talent they already have, along with the emerging platforms trying to make that possible.

19 de may de 202619 min