Data Readiness: Why 52% of AI Fails

AI is only as good as the data behind it. In our new episode, I sat down with Makesh Renganathan from Informatica’s product team to talk about what it really takes to get data AI-ready and ship use cases that move the needle.Highlights:* Only 48% of AI projects make it to production. The gap is data readiness.* Start with clear outcomes. Then build the foundation: completeness, quality, context, governance, security, and timely delivery.* Biggest blockers today: fragmented sources across legacy and cloud, 80–90% untapped unstructured data, and missing guardrails for trust and lineage.* Quantity is not quality. Clean and diverse data beats “more data.”How Informatica helps:* One platform with IDMC to connect, transform, and integrate at scale, including RAG ingestion.* Deep metadata and lineage to add context and trace outputs back to sources.* Built-in governance and data quality to keep sensitive data controlled and compliant.* Low-code and AI-assisted build with CLAIRE so existing teams can deliver faster, from pipelines to agents.Rapid takeaways from Makesh:* Treat data as a strategic asset before you scale models.* The future is AI-driven data management that automates integration, quality, and governance so people focus on strategy.The episode is live now. Watch and tell me which part resonated with your current AI stack.#data #ai #informatica #theravitshow