Data silos are one of those enterprise problems that everyone recognizes and almost no one fixes properly. This episode of Automatic digs into the real mechanics of interoperability failure — from the spreadsheet chaos that passes for "data management" to the shadow IT scripts quietly running production systems — and lays out a credible path toward integration that actually holds. It's based on the Automatic deep-dive on escaping data silos, expanded with sharper context and practical framing for the teams living through this right now.
The episode works through the full arc of the problem — how silos form, why they persist, and what a disciplined recovery looks like — covering:
The episode is direct that none of this is purely a technology problem — silos are an organizational failure that technology either entrenches or helps unwind. Auditing honestly, assigning clear ownership, and resisting the pull of the next quick fix are harder than any architectural choice, and the episode doesn't pretend otherwise. If regulated or compliance-heavy environments are part of your context, the earlier episode Why General-Purpose AI Falls Short in Regulated Workflows pairs well with this one.
