The Ledger
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Wu: Failed Enterprise AI Deployments Usually Lack Data Scaffolding
“My hunch is some of the enterprise deployments that don't actually work out likely don't have the scaffolding or infrastructure for these agents to interact with as well. A lot of the, like, really successful deployments that we've made, a lot of what our FDs …”
Wu: Enterprise AI Evals Must Be Built Bottom-Up by Operators
“And evals also, oftentimes, need to come up bottom up. Right? Because all of these things are kind of in people's heads, in the actual operator's heads. Like, it's actually very hard to have a top-down mandate of, like, you got, like, this is how the evals sho…”
Wu: Product users often prefer instant substandard AI answers over 10-minute waits
“As a product builder, there's a latency, there's a real latency trade-off that you have to deal with where, you know, your user might not be happy waiting 10 minutes for, like, the best answer in the world. It might be more okay with the substandard answer and…”