Remove Monitoring Remove Software Architecture Remove Software Engineering Remove Training
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AI meets operations

O'Reilly

On one hand, ops groups are in a good position to do this; they’re already heavily invested in testing, monitoring, version control, reproducibility, and automation. First, the behavior of an AI application depends on a model , which is built from source code and training data. This changes what we mean by “monitoring.”

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Cloud Adoption in 2020

O'Reilly

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. For this audience, SRE’s future is brighter than AI’s, however. Respondent Demographics.

Cloud 141
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. Software Architecture. This approach is not novel.

DevOps 140