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 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 ...
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 ...
Business Wire

Teradata Helps Customers Accelerate AI-led Initiatives with New ModelOps Capabilities in ClearScape Analytics

SAN DIEGO--(BUSINESS WIRE)--Teradata (NYSE: TDC) today announced new enhancements to its leading AI/ML (artificial intelligence/machine learning) model management software in ClearScape Analytics (e.g ...
Bloomberg L.P.

The journey to build Bloomberg’s ML Inference Platform Using KServe (formerly KFServing)

This post details the beginning of Bloomberg’s journey to build a machine learning inference platform. For those readers who are less familiar with the technical concepts involved in machine learning ...