How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker

This article discusses how Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker, allowing them to streamline the deployment and monitoring of machine learning models at scale.

Specifically, the article covers:

• The challenge of deploying and operating ML models at scale
• An overview of the MLOps platform architecture based on the AWS Enterprise MLOps Framework
• How reusable ML pipelines were built using SageMaker Pipelines and other services
• The serverless workflow for orchestrating ML model inference
• How ML model decisions are monitored to build trust with users
• Security measures implemented to protect customer data and intellectual property
• Conclusion highlighting the benefits, cost savings, and scalability achieved