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The Misfire of AI Modeling
There's a lot where people don't come into this knowing what the metrics that they expect are. You need to trust it with something important, but you also need it not to break things. How do business leaders strike that balance? I know a few folks in this vendor space or at least vendors in this area will talk about things like, you know, cradle to the grave in terms of tech and data stacks.