The Agent Dudecast EP7 Dona Sarkar

The Agent Dudecast EP7 Dona Sarkar

The conversation covers a wide range of topics related to AI, agents, and the evolving landscape of technology. It delves into the impact of AI on various industries, the importance of reinvention, and the role of AI in amplifying human capabilities. The discussion also emphasizes the need for thought leadership and innovation in the context of AI and technology. The conversation covers a range of topics, including the impact of AI on business, the concept of human context protocol (HCP), the importance of side hustles, and the evolving role of AI in consumer products and branding. It also delves into the distinction between AI in corporate and personal spaces, and the need for businesses to maintain a human touch in their interactions. Takeaways * AI amplifies human capabilities * Reinvention is essential in the tech industry AI is transforming business operations and decision-making, with a focus on solving previously unsolvable problems. * The concept of human context protocol (HCP) emphasizes the importance of human qualities and interactions in the AI era. * Side hustles provide opportunities for personal growth and skill development, contributing to professional success. * The consumer market is experiencing a shift towards human-centric branding and marketing, with a focus on authentic human connections. * The distinction between AI in corporate and personal spaces highlights the need for businesses to maintain a human touch in their interactions. Chapters * 00:00 Thought Leadership and Innovation in AI * 36:05 The Concept of Human Context Protocol (HCP) * 43:18 The Significance of Side Hustles * 57:33 AI in Consumer Products and Branding

The Agent Dudecast EP6 Phil Topness / Luis Camino

PODCAST SUMMARY The episode introduces the evolution of the Agent Dude channel, shifting to practical, real‑world use of agents and Copilot. It covers the role of the Copilot Acceleration Team (CAT) and CAPE in helping organizations adopt, scale, and govern AI. Key themes include the Frontier Transformation Pattern for AI maturity, the Power Up program for accelerating learning, and the Guidance Center and live webinars as core enablement resources. Boot camps, hands‑on labs, and the Copilot Studio Kit are highlighted as accelerators for building governed, scalable agents. The conversation closes by encouraging individuals and organizations to work with AI as a collaborator to amplify productivity, creativity, and impact. ---------------------------------------- CHAPTERS * 00:00 – Introduction and Channel Transformation * 08:58 – Power Up Program and Its Impact * 19:23 – Guidance Center and Interactive Webinars * 26:30 – Engaging in Live Webinars * 34:57 – Copilot Studio Kit and Enterprise Impact ---------------------------------------- LINKS & RESOURCES Power Up – Free AI learning https://powerup.microsoft.com [https://powerup.microsoft.com] Agent Academy – Hands-on agent curriculum https://aka.ms/agent-academy [https://aka.ms/agent-academy] Guidance Center – Enterprise implementation guidance https://learn.microsoft.com/microsoft-copilot-studio/guidance/ [https://learn.microsoft.com/microsoft-copilot-studio/guidance/] Architecture Center – Real-world agent architectures https://learn.microsoft.com/power-platform/architecture/products/copilot-studio [https://learn.microsoft.com/power-platform/architecture/products/copilot-studio] AI Maturity & Transformation Playbook https://msft.it/6045sFYqh [https://msft.it/6045sFYqh] Copilot Studio Implementation Guide https://aka.ms/CopilotStudioImplementationGuide [https://aka.ms/CopilotStudioImplementationGuide] Copilot Studio Kit (Open source) https://github.com/microsoft/Power-CAT-Copilot-Studio-Kit [https://github.com/microsoft/Power-CAT-Copilot-Studio-Kit] CAT Team Blog – The Custom Engine https://microsoft.github.io/mcscatblog/ [https://microsoft.github.io/mcscatblog/] CAT Resources Portal https://microsoft.github.io/cat/ [https://microsoft.github.io/cat/] Power Platform YouTube Channel https://www.youtube.com/@mspowerplatform [https://www.youtube.com/@mspowerplatform] Power CAT AI Webinars Playlist https://www.youtube.com/playlist?list=PLnRSm4MRK-qdelQTsKXTXAIgO_PuGzSWw [https://www.youtube.com/playlist?list=PLnRSm4MRK-qdelQTsKXTXAIgO_PuGzSWw] Copilot Studio Architecture Bootcamp https://microsoft.github.io/cat/programs/architecture-bootcamp.html [https://microsoft.github.io/cat/programs/architecture-bootcamp.html] Copilot Studio Resources Hub https://aka.ms/copilotstudio/resources [https://aka.ms/copilotstudio/resources]

Copilot Studio Dudecast EP5 John Siefert

The conversation covers the introduction of the guest, John Seifert, and his role as the CEO of Dynamic Communities. It delves into the events organized by Dynamic Communities, including the Community Summit North America and the AI Agent and Co-Pilot Summit. The discussion also explores the concept of rapid prototyping with NLP, the activity spectrum, and the proactive skill development required in the AI space. Additionally, it addresses the importance of choosing the right AI tools for specific use cases. The conversation delves into the concept of using a diverse set of tools, akin to Batman's tool belt, to solve problems effectively. It emphasizes the importance of adopting and adapting AI tools to specific needs, as well as the value of technical understanding and creativity in leveraging these tools. Takeaways * Community Summit North America * AI Agent and Co-Pilot Summit * Rapid Prototyping with NLP * Activity Spectrum and Proactive Skill Development Diverse Tool Usage * Adaptation and Innovation Chapters * 00:00 Choosing the Right AI Tools * 31:19 The Batman Tool Belt * 37:15 Adoption and Adaptation of AI Tools

Copilot Studio Dudecast EP4 Gary Pretty

The conversation covers the evolution of Copilot Studio, the impact of model improvements on orchestration, and the role and future of child agents and topics. It delves into the early days of Bot Framework Composer, the transition to Power Virtual Agents, and the evolution of the generative orchestrator. It also explores the power and future of child agents and topics in the context of orchestration and agent development. The conversation covers the considerations and limitations of multi-agents, use cases for child and connected agents, context management in multi-agent systems, inputs and outputs in topics and agents, and the excitement and concerns surrounding AI-driven development. Takeaways * Evolution of Copilot Studio * Impact of model improvements on orchestration * Role and future of child agents and topics Multi-agents should be used with consideration of trade-offs and limitations * AI-driven development is accelerating workflow and making delivery more efficient Chapters * 00:00 Introduction and Background * 05:02 Generative AI and Power Virtual Agents * 10:09 Model Improvements and Impact on Orchestration * 16:08 Power and Future of Child Agents and Topics * 28:14 Multi-Agents: Considerations and Limitations * 35:36 Context Management in Multi-Agent Systems * 47:38 AI-Driven Development: Excitement and Concerns

Copilot Studio Dudecast EP3 Bas Brekelmans

In this episode, I talk with Bas Brekelmans, CTO of Copilot Studio. The conversation covers the evolution of conversational AI models, challenges in managing and deploying the latest models, the impact of model evolution on performance and security, and the shift in building agents from specific workflows to evaluating expected outcomes. The discussion also delves into the history and evolution of conversational AI, early models and innovation, challenges of model management, model selection and orchestration, security and guardrails in model orchestration, performance and latency in model orchestration, and the evolution of building agents. The conversation delves into the impact of AI models on engineering discipline, the transition from traditional development to model training, and the evolution of skill sets in natural language understanding. It also explores the role of language proficiency in AI development and the evolution of AI systems and models. Takeaways * Evolution of conversational AI models * Challenges in managing and deploying the latest models * Impact of model evolution on performance and security * Shift in building agents from specific workflows to evaluating expected outcomes Nudging AI models * Transition from traditional development to model training Chapters * 00:00 Evolution of Building Agents * 30:06 Automating Reordering and Over-Engineering * 36:12 Evolution of Engineering Discipline * 41:33 Transition to Managerial Role in AI Development * 48:10 Evolution of AI Systems and Models