Getting the right AI outcomes starts with choosing the right models. But how do you decide which are the “right” models for you? With so many different options available—from open to closed, from frontier LLMs to domain-specific—how can you possibly be sure you’re making the right choices for all your different AI workloads? The short answer is that you can’t. But what you can do is build an enterprise architecture that’s optimized for flexibility. Choosing models isn’t a one-time decision anyway, because your exact needs will always change over time. Making the right choices today is less important than being…

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