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Operationalizing Edge Machine Learning with Apache Spark (Nisha Talagala and Vinay Sridhar)

378 views · Published 27 September 2018 · 29:57 · Indexed 14 November 2026

Channel: Databricks · 2018 · Science & Technology

Nisha Talagala is CTO/VP of Engineering at ParallelM, an early stage startup focused on Production Machine Learning and Deep Learning. Vinay Sridhar is a Senior Engineer at ParallelM where he works on the distributed layer of the MLOps System intended to automate production ML.

In this talk we will demonstrate how we have attacked this problem for a specific use case, edge based anomaly detection. We will show how Spark can be deployed in two types of environments (on edge nodes where the ML predictions can detect anomalies in real time, and on a cloud based cluster where new model coefficients can be computed on a larger collection of available data).

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Operationalizing Edge Machine Learning with Apache Spark (Nisha Talagala and Vinay Sridhar)

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