Machine learning helps fast-track decision making about complex topics. But it comes with a caveat. In addition to requiring multiple integrations, ML infrastructure and configuration is often installed and managed manually.
These efforts alone are predictability and reliability red flags. Add to it that ML lacks explicit rules, and we find hidden biases in ML leading to massive technical debt, and ultimately, slower time-to-market new capabilities, lower quality, and greater inconsistencies.
Oteemo helps organizations develop consistent, repeatable, and scalable ML platform environments through MLOps.