In this episode, we explore how the Mixture-of-Experts (MoE) architecture is reshaping the future of AI by enabling models to scale efficiently without sacrificing performance. By dynamically activating only relevant "experts" within a larger model, MoE systems offer massive gains in speed, specialization, and cost-effectiveness. We break down how this approach works, its advantages over monolithic models, and why it's central to building more powerful, flexible AI agents. Whether you're an AI practitioner or just curious about what's next in AI architecture, this episode offers a clear and compelling look at MoE’s transformative potential.
--------
18:02
Why MCP is the Key to Building Context-Aware AI Agents
In this episode, we dive into MCP (Memory, Code, and Planning) — the foundational trio that powers truly context-aware agentic AI. We break down how memory enables continuity, code execution enables action, and planning allows agents to set and pursue long-term goals. Together, these elements allow AI agents to go beyond simple prompts and react intelligently to complex, evolving environments. Whether you're building enterprise agents or experimenting with AI workflows, this episode explores why MCP is essential for scalable, autonomous systems that think before they act.
--------
16:21
AI’s Impact on Jobs – White-Collar, Blue-Collar, and Beyond
In this episode, we unpack how AI is transforming the job market across sectors—from automating routine white-collar tasks like data entry and analysis to reshaping blue-collar roles through robotics and intelligent systems. We discuss which jobs are most at risk, what new roles are emerging, and how individuals and organizations can adapt. Whether you're in tech, manufacturing, or education, this episode offers a clear-eyed look at the future of work in the age of AI.
--------
18:35
Microsoft Copilot Upgrade - Agents, Personalization, and Enterprise Impact
In this episode, we explore the transformative upgrades to Microsoft Copilot, highlighting the introduction of autonomous AI agents, enhanced personalization features, and their profound impact on enterprise operations.
--------
18:21
Graphite - An Event-Driven AI Agent Framework
In this episode, we explore Graphite, an event-driven AI agent framework designed to help enterprises build responsive, real-time automation systems. Unlike traditional AI tools that rely on fixed triggers or manual inputs, Graphite enables agents to respond dynamically to events across systems—from user actions and system logs to API changes and business KPIs. We discuss how this approach unlocks a new level of context-aware, autonomous behavior, empowering businesses to streamline operations, detect issues early, and respond at machine speed. Whether you’re a CTO, platform engineer, or enterprise architect, this episode will show you how event-driven agentic AI is reshaping the automation landscape.
Discover how agentic AI is transforming businesses! Hosted by lowtouch.ai, the Agentic AI Podcast dives into real-world applications, success stories, and expert insights on no-code automation, enterprise AI adoption, and the future of intelligent agents. Perfect for CXOs, innovators, and tech enthusiasts looking to stay ahead in the AI era.
Ireland