Overview

AI adoption is accelerating, but most companies are struggling. Nearly 80% of AI projects fail—not because of the models, but because of weak data foundations. Legacy metadata systems, built for humans, can’t support the needs of agentic AI. Traditional data catalogs slow progress and drive up costs.

To succeed, businesses must treat metadata as core infrastructure. AI-ready catalogs enable faster deployment, better performance, and lower costs. Now is the time to ask: is your metadata ready for AI?

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