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Wednesday, November 20 • 11:50am - 12:25pm
Case Study: AI-as-a-Service on Kubernetes at Scale and In Production - Itay Gabbay, Israel Ministry of Defense (MOD) & Tushar Katarki, Red Hat

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AI is popular and yet faces two big challenges in the industry: 1) self-service and automation 2) Use in real production.

At the Israel Ministry of Defense we are taking on the challenges with containers and Kubernetes. We have built AI-as-a-service with open source tools and Kuberentes. Our Data Scientists use the service for data, experimentation and to deliver models into production iteratively with self-service and automation.

Using Kubernetes, we are able to run massive machine learning pipelines automatically, and improve our machine learning models. We implemented several principles of AutoML - a wide research area nowadays. Using AutoML & Kubernetes, we can further improve our machine learning models and pipelines - automatically.

Come find out how we built our AI service on Kubernetes, issues we ran into and best practices with a live demo and supporting slides.

avatar for Tushar Katarki

Tushar Katarki

Product Manager, Red Hat
Tushar Katarki is a senior technology professional with experience in cloud architecture, product management and engineering. He is currently at Red Hat as a product manager for OpenShift with focus on AI/ML on OpenShift . Tushar is involved with several open source projects around... Read More →

Itay Gabbay

Machine Learning Engineer, MOD Israel
Itay Gabbay is a software engineer specialized in machine learning and AutoML. He is currently at the Israeli ministry of defense, responsible for a machine learning platform he designed and implemented, based on OpenShift.

Wednesday November 20, 2019 11:50am - 12:25pm PST
Room 6C - San Diego Convention Center Upper Level
  Case Studies