Red Hat architects Philip Hayes and Roberto Carratalá break down the evolution from generative AI to agentic AI, showcasing how Red Hat provides a stable, open, and accelerated foundation for developing and deploying innovation-ready AI workflows.
Hear about the evolution of AI agents from simple tasks to complex, and discover how Llama Stack and Model Context Protocol (MCP) provide standardized, plug-and-play connections to data.
00:00 Introduction
01:23 Challenges in building AI for production
01:55 The evolution of agentic AI
05:33 The non-negotiable components of an AI agent system
06:36 Unlocking value with agentic AI
07:50 The agentic evolution of enterprise applications
10:39 Red Hat AI’s stable foundation for agentic workflows
11:40 Llama Stack: Strategic advantage for enterprises
13:57 Model Context Protocol: The plug-and-play gateway
17:23 Llama Stack: A modular approach to building AI agents
18:57 Red Hat AI overview
21:21 Demo with Llama Stack and MCP
🤖 Accelerate your agentic AI journey → https://www.redhat.com/en/products/ai/agentic-ai
#RedHat #AI #MCP #LlamaStack
