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Enterprise AI needs a bridge to workflows

Aaron Levie frames enterprise AI as a question of how much work is required to connect models with organizational workflows.

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Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

Originalauszug

What I think people underappreciated was that in the real world, in the enterprise, what you need is some bridge from the model's capability to the actual workflow that the enterprise has.
Kontext

Two years ago, I think it would not have made that much sense—like, what does that mean? But very clearly, I think this is what's playing out in the market, and it's all working out mostly because of open source. What's pretty amazing is right now, the whole concept of being an LLM wrapper, a model wrapper, is actually working out. And on that bridge, probably $1 trillion has been bet on basically one of two outcomes: either that bridge is very limited, or that bridge is actually very vast and needs to be able to take on a lot of depth within organizations.

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