💎 Data can look “healthy”… and your model can still drift, hallucinate, or amplify bias. That’s the observability gap that Mahdi Karabiben unpacks in his latest article Metadata Weekly. We’ve spent years solving data observability for dashboards. But in the AI era, a clean pipeline doesn’t guarantee a safe decision — because the real risk now lives at the intersection of data + model + agent behavior. Mahdi breaks down why unified Data + AI Observability is quickly becoming essential for trustworthy AI systems, covering: ➡️ Why good data can still create bad AI ➡️ Why alerts need to be built for agents, not humans ➡️ How lineage becomes the control plane ➡️ Why the future is about decision trust, not just data trust If you’re aiming to build trustworthy AI systems, this one is worth the read. Read the full article on Metadata Weekly: https://metadataweekly.substack.com/p/data-trust-to-decision-trust-the