From the course: DevOps Foundations

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AIOps: Using AI in your DevOps work

AIOps: Using AI in your DevOps work

From the course: DevOps Foundations

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AIOps: Using AI in your DevOps work

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- DevOps professionals who learn to use AI for their benefit are going to make a leap ahead in their careers. - [Speaker 2] But first, we should say that AI in any form doesn't replace an engineer, and you can't simply take output from an AI and check that code into your code repo and run it on your systems without evaluating and testing it first. - That's right, while AI assistance is awesome, we are still responsible for the impact we allow AI systems to have in our organization. - Yeah, you can't just blame the algorithm. - Until we're all in those matrix pods and the AI is running us, that is. - Why do we need AI? Many of us have too many tools, too many vendors, inconsistent documentation and complicated architectures in our day-to-day job that require too much specialized knowledge and context switching, - And that generates cognitive overload and it affects your ability to do your work. Large language models, or LLMs, which power generative AI tools like ChatGPT, can help take…

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