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Edge AI is moving from concept to reality. In this episode of MI&S IT Talk, analysts Matt Kimball and Jason Andersen explore how local AI models, AI agents, and new hardware are enabling powerful AI workloads at the edge. They also discuss insights from Vast Data’s Forward event and why data platforms are becoming a critical layer in the enterprise AI infrastructure stack. What You’ll Learn: • Why edge AI adoption is accelerating • How local AI models and agents are changing enterprise workflows • Why cloud GPU economics may push more workloads to the edge • The role of data platforms in the enterprise AI stack • How companies like Vast Data fit into modern AI infrastructure Key Topics: Edge AI • AI Agents • Local AI Models • AI Infrastructure • Enterprise AI Stack • Vast Data • Data Platforms • AI Deployment Trends Subscribe and Follow MI&S IT Talk for expert analysis on enterprise AI, infrastructure, data platforms, and emerging IT trends. CHAPTERS 00:00 – Edge AI, Local AI Agents, and Enterprise Infrastructure 02:44 – Edge AI Moving Toward Mainstream Adoption 03:20 – Running AI Models Locally on New Hardware 04:40 – Local AI Agents and Autonomous Workflows 05:10 – Cloud GPU Costs Driving Edge AI Interest 06:20 – Edge AI Use Cases in Healthcare and Manufacturing 07:15 – Personal AI Agents and Digital Assistants 08:50 – Enterprise UX Challenges for Edge AI 14:20 – Vast Data Forward Event Takeaways 17:30 – The Enterprise AI Infrastructure Stack Explained 18:20 – Vast Data and the AI Data Platform Layer 21:00 – Engineered Systems vs Open AI Infrastructure 25:40 – Boston Red Sox Spring Training Talk 30:25 – Upcoming Industry Events and Travel 31:45 – Episode Wrap-Up #EdgeAI #EnterpriseAI #AIInfrastructure