In this episode, we delve into the array of new technologies fueling Agentic AI and why architecture matters more than ever. I am joined by  George Gilbert, the principal analyst at theCUBE Research, who covers data platforms, intelligent apps, and agentic frameworks, to decompose the approaches that industry pioneers are taking.  As enterprises seek to harness AI’s full potential, the focus shifts from GenAI and LLMs to sophisticated AI agents capable of autonomous decision-making and continuous learning. We’ll share our learnings about the importance of building a multi-layered architecture of AI agents, highlighting key components such as: • Perception Layer: Gathering contextual information through specialized modules. • Cognitive Core: Integrating logical reasoning and goal-setting for informed decisions. • Execution Framework: Selecting optimal actions and integrating external tools. • Learning Loop System: Utilizing feedback mechanisms to foster continuous improvement. • Inter-agent Communications: Enabling AI agents to collaborate intelligently. Join us as we explore the future of AI agents and their role in enhancing workflows and driving innovation in enterprise technology. We will discuss how agentic AI is fundamentally changing the nature of what software can do and how it's built and evolved. This is a must-watch conversation for anyone just getting started with agentic AI.