Glenda O’Keefe

Most enterprises aren't struggling to govern their data products - they're struggling to deliver them at all. AI has raised the bar on both volume and velocity, and the review cycles, ownership debates and quality checks that made data trustworthy are now the reason nothing ships on time. So, teams start cutting: fewer controls, looser lineage, trust deferred until something breaks. But why is that the trade-off? Which parts of enterprise rigor genuinely slow delivery, and which only feel like they do? What has to change in how data products are built for governance to become an accelerator instead of a tax? This session argues speed and rigor were never opposites and shows what it takes to have both.