The AI advantage is moving beyond the model
For the past several years, the enterprise AI conversation has been dominated by models. Every week has seemed to bring a new benchmark, a new leader board, or a new debate about which model is smartest. Organizations often made technology decisions based on incremental improvements in model performance, assuming that the model itself was the primary source of competitive advantage, but that assumption is rapidly becoming outdated.
Chief AI Officer at Rackspace.
As foundation models continue to improve, they are also converging in capability. At the same time, the cost of deploying AI at scale is becoming a more pressing concern for enterprises than squeezing out marginal gains in benchmark performance.
As a result, the focus is shifting from the model itself to everything surrounding it: the systems that make AI useful, governable, and economically viable in real-world business environments.
The question enterprises are increasingly asking is not, "Which model...
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