Productionizing Machine Learning with a Microservices Architecture

Deploying machine learning models from training to production requires companies to deal with the complexity of moving workloads through different pipelines and re-writing code from scratch. Yaron Haviv will explain how to automatically transfer machine learning models to production by running Spark as a microservice for inferencing, achieving auto-scaling, versioning and security. He will demonstrate how to feed feature vectors aggregated from multivariate real-time and historical data to machine learning models and serverless functions for real-time dashboards and actions.


 
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About Yaron Haviv

Iguazio

Yaron Haviv is a serial entrepreneur who has deep technological experience in the fields of big data, cloud, storage and networking. Prior to Iguazio, Yaron was the Vice President of Datacenter Solutions at Mellanox, where he led technology innovation, software development and solution integrations. He was also the CTO and Vice President of R&D at Voltaire, a high-performance computing, IO and networking company. Yaron is a CNCF member and one of the authors in the CNCF working group. He presented in various events including KubeCon + CloudNativeCon, Spark + AI Summit and Strata.