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We’re entering a new era where humans and AI collaborate through shared understanding, not just shared tools. This means data teams are facing a new mandate: stop preparing for AI, and start working with it. At Reimagine 2025, Collate’s virtual summi...
Most data teams still spend hours chasing tables, fixing quality issues, or verifying reports, rather than analyzing data to drive business impact. The problem isn’t the value of data. It’s that it’s hard to find, understand, and trust across scatter...
As companies of all sizes adopt Collate’s managed OpenMetadata service, we address questions from large organizations about the platform’s scalability, as not all systems can easily handle the growing demands of enterprise data platforms. This blog p...
The broken dashboard at 2 AM. The failing ML model. The frantic Slack message: "Why did this column disappear?" Data teams everywhere face these crises because organizations often manage data reactively, allowing schema changes to occur without warni...
Building on the robust Model Context Protocol (MCP) integration introduced in version 1.8, we've continued focusing on delivering features needed by modern data teams. Today, we’re announcing Collate 1.9 of our managed OpenMetadata service that addre...
Organizations need deeper context about their data — not just for human data practitioners but also for AI agents and LLMs. Without this understanding, data practitioners make flawed assumptions, AI agents produce misleading recommendations, and LLMs...