Session Outline
End-to-end system design which abstracts out different processes in a typical ML project. Hyper configurable system governing the 3 main processes of ML project – Data Pipelines, Model learning and end consumption.
Key Takeaways:
- Building a self serve AI engine at an enterprise level
- Enabling 4x efficiency both in terms of time and cost to delivery of ML models
- Module level system design which can enable non-tech folks deploy ML models at scale in a seamless fashion
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