Building machine learning operations framework with Amazon SageMaker: Technical Safety BC’s Journey
Public Sector Blog
Technical Safety BC (TSBC) developed an MLOps framework using AWS services to streamline machine learning operations for public safety applications. The solution focuses on three core templates:
- Model build and training template that automates CI/CD pipelines for model development
- Model serverless inference template for automated model deployment across accounts
- Model batch inference template for managing batch transform pipelines
Key achievements include:
- Automated email routing using AI classification
- Customer satisfaction survey analysis with AI sentiment models
- Standardized workflow for model lineage and governance
The framework enables public sector organizations to accelerate MLOps processes on AWS Cloud infrastructure with enhanced security and reliability.
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