Session
From Prototype to Production: Deploying ML Models at Scale
Modern businesses need data that is fresh, reliable, and ready to act on — yet most organizations still struggle with batch pipelines that deliver stale insights. This session dives into the architectural decisions behind building production-grade, real-time data pipelines using open-source tools and cloud-native patterns. Through practical demonstrations, attendees will learn how to move beyond daily ETL jobs toward streaming architectures that power live dashboards, real-time fraud detection, and instant personalization.
Varun Joshi
Senior Data Engineer at AWS
Seattle, Washington, United States
Links
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