From this article. As we shift to Agentic AI (systems that act, not just respond), the bottleneck is no longer code, it's trust. This article highlights a hard truth: without "guardrails" and data readiness, AI simply cannot scale. Governance must become the engine, not just the brakes. Let’s Discuss: 1. The ROI Gap: Only 22% of orgs see actual AI results. Is "bad data" the silent killer for companies? 2. Agentic Readiness: Are current frameworks mature enough to supervise autonomous agents?

Just posted this on LinkedIn. All done thanks to the interconnection of embedded Data Quality, Data catalog and Data Governance in the same tool. Helping validate any path to data governance whatever the business context. Curious to have your POV. https://www.linkedin.com/posts/ericmamodaly_even-the-best-supply-chains-are-making-daily-activity-7417877237007507456-wOkg?utm_medium=ios_app&rcm=ACoAAAAMb5oB9D0WrYfhKM2JU5kyafstBAL-IdI&utm_source=social_share_send&utm_campaign=copy_link

Hello everyone! I'm starting to research Open Metadata to implement as a data catalog. Does anyone use this tool for data cataloging? Could you share your experiences, both good and bad? 👀 Thanks!!!