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This Presentation date is November 19, 2020 at 11:00-12:30.
Presenters: Abhinav Joshi, Tushar Katarki
In this session, we will start by sharing our experience around AI/ML market trends, use cases, required solution capabilities, and execution challenges. Next we will discuss the value of containers, Kubernetes, and DevOps to help speed up AI projects. Next, we will walk through Red Hat’s strategy and solution for winning AI/ML workloads on OpenShift powered Hybrid Cloud. Finally, we will share success stories from various industries globally on how organizations fast tracked their AI/ML projects from pilot to production with Red Hat.
Red Hat AI/ML Market Trends, Desired Architecture, and Execution Challenges
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Tushar Katarki, Senior Manager, Product Management, OpenShift Business Unit, presents the AI/ML use cases across industries, desired capabilities in the end to end solution architecture, and potential execution challenges with operationalizing AI/ML at scale.
Personnel: Tushar Katarki
Speed Up AI/ML Projects with Red Hat OpenShift Hybrid Cloud Platform
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Abhinav Joshi, Senior Manager, Product Marketing, OpenShift Business Unit, presents the value of containers, Kubernetes, and DevOps powered Red Hat OpenShift (industry leading Kubernetes Platform), broader portfolio, open source AI/ML tooling, and a broad AI/ML ISV and infrastructure ecosystem to help solve them.
Personnel: Abhinav Joshi, Tushar Katarki
Operationalize ML Models with Red Hat OpenShift
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Tushar Katarki, Senior Manager, Product Management, OpenShift Business Unit, discusses how companies can leverage DevOps capabilities in Red Hat OpenShift (industry leading Kubernetes platform) to operationalize ML models into production.
Personnel: Tushar Katarki
AI/ML Customer Success Stories on Red Hat OpenShift
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Abhinav Joshi, Senior Manager, Product Marketing, OpenShift Business Unit, explains how organizations globally have achieved key business goals by operationalizing AI/ML projects on Red Hat OpenShift, broader portfolio, open source technologies and partner ecosystem.
Personnel: Abhinav Joshi
