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Meeting Summary

API305-R1 - [REPEAT 1] Building serverless machine-learning workflows

Session Description

Modern machine-learning workflows leverage AWS services such as Amazon Transcribe and Amazon Comprehend to extract, validate, mutate, and enrich your data. Some drive transactional systems that use ML to generate metadata, others derive insights by visualizing customer-interaction sentiment. All share a common challenge: orchestrating a combination of sequential and parallel steps fulfilled by independent microservices. Join us as we examine how workflows can be used to manage that orchestration in a way that's scalable, reliable, and easy to maintain and run. We contrast two approaches for creating such workflows: a traditional monolithic approach and a serverless approach utilizing AWS Step Functions.

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Chalk Talk
300 - Advanced
Please note that session information is subject to change.
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    Repeat Sessions