Consistency and AIOps/MLOps
Understand MLOps and AIOps, which are essential processes that standardize and maintain trust, consistency, and customer confidence in AI/ML product development.
We'll cover the following
Reliance and trust
Maintaining trust, reliance, and consistency within our internal product teams, as well as with our customer base, is an act of committing to a specific ritual. Ritualizing the acquisition of clean data, tracking the flow through our infrastructure, tracking our model training, versions, and experiments, setting up a deployment schedule, and monitoring pipelines that get pushed to production are all part of the necessary work that needs to be done to make sure there’s a handle on the comings and goings of our AI/ML pipeline. This ritualizing is what’s referred to as MLOps or AIOps. In this lesson, we will explore the benefits of AIOps/MLOps and how they help us stay consistent.
Get hands-on with 1200+ tech skills courses.