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Government

industry solution

Metrics

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

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

Analytics Engineering Government Best practices

Modernizing data science lifecycle management with AWS and Wipro

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

Management APIs Engineering Government

Customer Contact Central

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

Modernizing data science lifecycle management with AWS and Wipro

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