“We are business-to-business, and a lot of our customers don't know anything about ML. So they might make what seems to them quite as obvious and harmless changes, that has terrible impact internally. Having something like this would have prevented a lot of problems.”
“We need tools that enable our machine learning team to ensure AI models help inform seamless experiences for customers and achieve business objectives when running at a very high scale. WhyLabs monitoring solution takes a practical and elegant approach to monitoring the input and output data, statistics and behavior of models in flight at scale, filling the gap between software and machine learning model operations.”
Arize AI is a machine learning observability platform to help unpack the proverbial AI black box. Their solutions provide ML teams the tools they need to understand whether their models are performing as expected in production and quickly get to the cause behind issues that emerge.
Datatron is a FLEXIBLE MLOps platform that helps businesses deploy, catalog, manage, monitor, & govern ML models in production (on-prem, in any cloud, or integrated feature-by-feature via their API). Datatron is entirely vendor, library, and framework agnostic, including AWS, Azure, GCP, SAS, H2O, Python, R, Scikit-Learn, Tensor-Flow, and more. Whether you are just getting started in MLOps, or want to remedy or supplement your homegrown solution, Datatron is the answer. Datatron is Reliable AI™.
Seldon is a data science and machine learning operations platform on a mission to empower Data Scientists, ML Engineers, and MLOps teams to deploy, monitor, explain, and manage their ML models. With Seldon, organizations can minimize risk and drastically cut down time-to-value from their models organization offers both an open-source framework, Core, which focuses on model deployment, and an enterprise product, Deploy Advanced, which builds on this functionality to power model monitoring, explainability and management.