AWS Machine Learning

DECEMBER 19, 2023

Data and model management provide a central capability that governs ML artifacts throughout their lifecycle. Integrations with CI/CD workflows and data versioning promote MLOps best practices such as governance and monitoring for iterative development and data versioning. It enables auditability, traceability, and compliance.

Analytics 130

Analytics Engineering Government Best practices 130

AWS Machine Learning

JANUARY 5, 2024

MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models. Reusability – Without reusable MLOps frameworks, each model must be developed and governed separately, which adds to the overall effort and delays model operationalization.

Management 133

Management APIs Engineering Government 133

AWS Machine Learning

JANUARY 15, 2025

Each model has different features, price points, and performance metrics, making it difficult to make a confident choice that fits their needs and budget. The solution can also be adopted in other sectors, as shown in the following table. For more information, see the HCLTech GenAI Automotive Companion in AWS Marketplace.

Automotive 94

Automotive Feedback Sales Analytics 94