Real value, real time: Production AI with Amazon SageMaker and Tecton
Machine Learning Blog
The article discusses how Amazon SageMaker and Tecton simplify the development and deployment of production AI applications, particularly for real-time use cases like fraud detection.
- Only 54% of ML prototypes and 5% of generative AI use cases make it to production
- Tecton and SageMaker abstract away complex engineering challenges in AI development
- Provides a declarative framework for feature management across batch, streaming, and real-time data
- Enables fast feature development, model training, and low-latency online inference
- Can be extended to support generative AI use cases using Amazon Bedrock
The solution helps engineering teams focus on building new features instead of managing infrastructure, ultimately accelerating AI application development and deployment.
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