InfoWorld

The importance of monitoring machine learning models

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...
Business Wire

Dotscience Releases New Advancements to Enable Simplest Method for Building, Deploying and Monitoring ML Models in Production on Kubernetes Clusters to Accelerate the Delivery ...

Dotscience’s statistical monitoring feature allows ML teams to define which metrics they would like to monitor on their deployed models and then bring those metrics straight back into the Dotscience ...
Business Insider

Algorithmia Solves ML Model Performance and Drift Detection with Application Performance Monitoring for ML Systems

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 reliable ...
Troy Record

Arthur releases the first NLP model monitoring solution to serve soaring enterprise adoption

NEW YORK, March 29, 2021 /PRNewswire/ — Natural language processing is quickly becoming one of the most widely adopted machine learning technologies in the enterprise, used in everything from customer ...
insideHPC

Dotscience Enables Simplest Method for Building, Deploying and Monitoring ML Models in Production on Kubernetes Clusters to Accelerate the Delivery of Business Value from AI

Dotscience Monitor Tracks Health of ML Models Throughout Entire Lifecycle Dotscience’s statistical monitoring feature allows ML teams to define which metrics they would like to monitor on their ...
Visual Studio Magazine

New in .NET: ML.NET/Model Builder Updates, PeachPie 1.0, Xamarin Performance Monitoring

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. Microsoft ...