Modelops, ML monitoring, and model performance management are terms for practices and tools to ensure machine learning models operate as expected and provide trustworthy predictions.

New Relic has expanded its Relic One observability platform to help enterprises monitor the performance and accuracy of their ML models.

SEATTLE, Nov. 05, 2020 (GLOBE NEWSWIRE) -- Algorithmia, a leader in ML operations and management software, announces Insights, a new solution for ML model performance monitoring that provides ...

But ML is not exempt from errors and falsities. ML models degrade over time and become less accurate. This is also known as data drift, which refers to changes observed in the model’s data ...

Domino Data Lab Announces New ML Model Monitoring Product, $43M in New Funding, and Innovations to its Enterprise Data Science Management Platform ...

Domino Data Lab's new 4.6 release enhances model monitoring and adds support for Dask and Ray, taking ML compute beyond Spark.

Updates to Microsoft's AI/ML tooling highlight recent developments in the .NET dev world, which include PeachPie 1.0 (PHP in .NET) and new performance monitoring support for Xamarin.

The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions.