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

Fiddler Announces Giga-Scale Model Performance Management with Deeper Understanding of Unstructured Models and Fine Discoverability to Launch New AI Initiatives

SAN FRANCISCO--(BUSINESS WIRE)--Fiddler, the pioneer in Model Performance Management (MPM), today announced major improvements to its MPM platform, including model ingestion at giga-scale, natural ...
Forbes

Start Preparing For AI Regulatory Compliance Now

Manasi Vartak is founder and CEO of Verta, a Palo Alto-based provider of solutions for Operational AI and ML Model Lifecycle Management. Artificial intelligence is rapidly changing the way ...