Recent decades of investment in ML have been focused on research and development. Now companies face the challenges of deploying ML in reliable, repeatable, and responsible ways.
Establishing a robust, scalable infrastructure around your ML systems is a new challenge, with a unique complexity that requires specialized skills across the disciplines of data science, engineering, and business. Monitaur Record
is a golden corpus for all of your ML transactions, decisions, versions, and configurations across all of your models, creating a centralized, single source of truth for all stakeholders.
By providing access to the owners of risk, compliance, and governance, software engineering and data science teams can focus all their attention on innovation and delivery, instead of digging through endless logs and trying to reconstruct how the ML arrived at specific decisions.