https://carney.wiki/tags/ai-readiness/Recent content in AI Readiness on carney.wikiHugo -- gohugo.ioenTue, 17 Feb 2026 00:00:00 +0000https://carney.wiki/blog/did-governance-just-die/Tue, 17 Feb 2026 00:00:00 +0000https://carney.wiki/blog/did-governance-just-die/Data governance is not dead. Governance theater is. If you have ever sat through a data governance council where everyone agreed definitions matter and then immediately went back to shipping whatever, you know the problem. The meeting was not governance. It was a performance about governance. That used to be annoying. In the AI era, it becomes dangerous. Humans can often patch ambiguity with tribal knowledge. They know which dashboard is “really” used by finance, which field is stale, which Salesforce status is fiction, and which metric definition nobody says out loud.https://carney.wiki/blog/data-modernization/Mon, 16 Feb 2026 00:00:00 +0000https://carney.wiki/blog/data-modernization/Modern data stacks were supposed to make things easier. Faster insights. More self-service. Better dashboards. Cleaner pipelines. Fewer heroic spreadsheet rescues. Instead, a lot of organizations ended up with complexity by default: more tools, more integration work, more handoffs, more cloud spend, and a growing gap between data work and real business outcomes. Now AI agents are being layered on top of that mess. That is not automatically bad. But it is risky if leaders treat AI like a shortcut around the fundamentals.