While there is clearly a lot of enthusiasm for incorporating AI models into applications, the processes being used are still immature, especially in terms of automating workflows that include testing of probabilistic AI models.
Most AI models are built by small teams of data scientists that create a software artifact that needs to be integrated within a DevOps workflow just like any other artifact, noted Rose.
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