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Welcome to Ubuntu AI podcast! From fun experiments to enterprise projects, AI became the center of attention when it comes to innovation, digital transformation and optimisatation.
Open source technologies democratised access to state of the art machine learning tools and opened doors for everyone ready to embark on their AI journey.
Ubuntu AI will be your guide in the industry where community of like-minded people meet, to make an impact.
In this episode we’re talking about observability in MLOps
When we think of observability, we talk about alerts, dashboards, logs, things that are helping people know better what’s happening with their system. Is it correct?
People used to talk about the three pillars of observability. I kind of don’t agree with that way of looking at it. But it’s, it’s basically in its simplest form, it’s logs, metrics and traces.
