You Can’t Achieve AI Readiness Without Confidence That Your Data is Good Enough
Tech Talks11 Mai

You Can’t Achieve AI Readiness Without Confidence That Your Data is Good Enough

Many companies boast hundreds of AI experiments, but how many actually make it to production?

In this episode, Chris Bridgland from Couchbase reveals the stark reality of "AI readiness". We explore why data quality remains the ultimate bottleneck, the danger of unbounded AI agents, and why testing AI is like designing an airplane. Discover why mastering internal validation—and setting strict guardrails—is the only way to build AI you can trustWhen I've sat down with several customers... we asked them the question. So, you know, how many AI projects are you currently running? And they said, we've got around about 300. [...] So how many are live? They said, right now seven are live... what they're finding is that at some point during that development cycle, these things are coming and biting in the back."


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