Accelerate AI/ML Deployments with Enterprise-grade MLOps

Abstract: 

A growing number of organizations are integrating AI/ML workloads into cloud-native applications to deliver more insight and value from their data. However, there are a number of challenges in adopting, accelerating, and scaling ML operations (MLOps) across the enterprise in a predictable fashion.

NVIDIA and Red Hat have been working with organizations globally to understand their AI/ML challenges and delivering supported solutions to accelerate the adoption of AI-powered applications.

Join us for this keynote to learn more about a turnkey enterprise-ready platform from NVIDIA and Red Hat that helps data scientists, developers, and IT operations to securely build, deploy, manage, and scale AI workloads consistently across environments.

Bio: 

Matt leads OEM enablement for partner software-based solutions at NVIDIA. Most of Matt’s background is in open source infrastructure, holding roles in technical sales, product management, and business development. Prior to that, Matt worked as a solution architect designing one of the first enterprise grade multi-tenant container-as-a-service private clouds. He holds a bachelor’s science degree in computer science and applied computational physics from Hampden-Sydney College.

Open Data Science

 

 

 

Open Data Science
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Cambridge, MA 02142
info@odsc.com

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