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: 

Abhinav Joshi is a Director, Product Marketing at Red Hat. He and his team are focused on cloud-native workloads on Red Hat OpenShift, including AI/ML, data analytics, databases, etc. Abhinav has over 20 years of industry experience in Hybrid Cloud, AI/ML, Data Analytics, Digital Workspace, and Software Defined Data Center.. Throughout his career, Abhinav has held strategic roles in Product Management, Product Marketing, Sales, and Consulting Services at Red Hat, VMware, Cisco, NetApp, etc. He holds an MS in Systems Engineering from the University of Maryland College Park, Strategic Management Graduate Certificate from Harvard University, and a B.Tech in Chemical Engineering from Nagpur University, India.

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