DevOps, DataOps, MLOps, AIOps, FinOps, NoOps, GitOps, GovDataOps, Cyclops. What is going on?

There are so many terms floating around that it’s easy to lose track of the underlying goals each practice is trying to achieve. When it comes to building AI solutions, the most important items to focus on are the data, and the deployment. With that in mind, through this video we’ll unpack both DataOps and MLOps, illustrate their differences, goals, and discuss how they can work together to streamline your end-to-end AI strategy.