MLOps Strategy

Quickly design the supporting ecosystem for model engineering that contributes to successful business outcomes when adopting machine learning.

The practice of MLOps recognizes the advancements that have been achieved in application development by aligning developers and operations teams (DevOps). It also acknowledges the reality that model engineering is one component within a complex ecosystem that is required to successfully apply machine learning to achieving business objectives.

Caylent's expertise with DevOps, data engineering, machine learning, and production operations combine to provide the multi-disciplinary breadth and depth necessary to successfully plan your MLOps strategy and help implement any or all of the individual components.

While MLOps has proven its worth for early adopters, experienced practitioners are still rare and difficult to attract. Creating a strategy based on our experience and unique to your team's needs, capabilities, and current state unlocks the next steps in tactical execution by offloading the infrastructure, data, operations, and automation work from data scientists.