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Tuesday, November 5 • 4:30pm - 5:00pm
Simplifying the Creation of Machine Learning Workflow Pipelines for IoT Applications on Kubernetes with Scylla

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SmartDeployAI builds data workflow pipelines for running large scale Industrial IoT applications. Their software platform is a shared multi-tenant Kubernetes cluster environment where multiple workflow pipelines can be bootstrapped and scheduled to run concurrently. Learn how IoT sensors and devices are provisioned on their platform. This process requires them to track markers in their metadata store or parameters to run various pipeline models. They need to persist this data and make it available throughout the entire data workflow pipeline life-cycle.

Learn how their journey led to Scylla, and how they minimized latencies, maintained data storage isolation for each workflow pipeline in a shared Kubernetes cluster, bootstrapped pipeline artifacts and resources on demand and reduced their resource consumption footprint.

avatar for Charles Adetiloye

Charles Adetiloye

ML Platform Engineer, SmartDeployAI
avatar for Timo Mechler

Timo Mechler

Product Manager, SmartDeployAI
Timo Mechler is a Product Manager and Architect at SmartDeployAI. He has close to a decade of financial data modeling experience working as both an analyst and strategist in the energy commodities sector. At SmartDeployAI he now works closely with product development and engineering... Read More →

Tuesday November 5, 2019 4:30pm - 5:00pm PST
Breakout 1 - Cyril Magnin I/II Parc 55 San Francisco, a Hilton Hotel