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Welcome back to Let's Talk Shop! In this episode, we dive deep into the world of AI with Russell Fishman (Sr. Director of Solutions Product Management) at NetApp to explore the evolving storage landscape. Forget the GPU-centric hype – we uncover the critical role of intelligent data infrastructure in the AI pipeline, from ingestion to inference. Russell shares how NetApp's long history in data management for analytics and HPC uniquely positions them to tackle AI's biggest challenges, especially around data readiness. We discuss NetApp's specific features that boost performance and scalability across on-premises and multicloud environments, and address the crucial topic of data governance and reducing vendor lock-in in the age of AI. Discover how NetApp is helping customers make their data AI-ready through innovative metadata management and integrations with MLOps tools, ultimately simplifying complex workflows for data scientists and engineers.
► Bridging Customer Outcomes with AI
► The Impact of Intelligent Data Infrastructure on the AI Pipeline
► Beyond Training: The Growing Importance of AI Inference
► NetApp's Role: Fueling the AI Engine with Data Management
► Right Performance, Right Stage: NetApp's Feature Flexibility
► Achieving Extreme Performance: NetApp's Standard-Based Approach with PNFS
► NetApp's Evolution: From Analytics & Big Data to AI
► Making Data Management Accessible for Data Scientists
► Simplifying AI Workflows: Integration with MLOps Tools like Domino Data Lab
► Addressing Vendor Lock-in: NetApp's Open Standards Commitment and Multi-Cloud Strategy
► Getting Data AI-Ready: The Importance of Metadata
► Leveraging Metadata for Retrieval Augmented Generation (RAG)
► Data Governance, Traceability, and Security Across Multi-Cloud with ONTAP
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