A temperature reading, a vibration sample, a machine cycle, and a device disconnect may all be described as events, but they do not represent the same architectural problem. In industrial IoT and manufacturing environments, confusing continuous telemetry with discrete events can create noisy workflows, incomplete production histories, unnecessary processing, and systems that react without enough context. In this episode, we break down the architectural difference between Azure IoT Hub Message R...

Artificial intelligence is changing software development at a speed we have rarely seen before.Developers have already moved from writing every line of code themselves to working with AI assistants that can generate code, explain unfamiliar systems, create tests, debug applications, and automate repetitive work.But according to Microsoft MVP Andre Baltieri, that is only the beginning.In this episode of M365.FM, Mirko Peters sits down with Andre for a deep dive into the transition from traditiona...

Microsoft Power Platform is often described as a low-code platform. But what happens when the applications you build become business-critical, highly integrated, and too complex for a simple maker-first approach?In this episode of M365 FM, Mirko Peters talks with Power Platform Solution Architect Ian Tweedie about what happens when Power Platform moves beyond simple low-code applications and becomes part of a serious enterprise architecture. LOW-CODE DOESN’T MEAN LOW ARCHITECTURE Power Platform...

Enterprise AI is moving beyond chatbots that simply answer questions. The next generation of AI agents can understand business context, connect to enterprise systems, orchestrate workflows, and take action on behalf of users.But building an impressive AI agent demo is easy. Building an agent that works reliably across a global enterprise—with sensitive data, complex business processes, governance requirements, thousands of users, and measurable outcomes—is a very different challenge.In this epis...

In this episode of the M365 Show, Mirko Peters speaks with Fergus Kidd, Microsoft MVP, Co-Founder and CTO of FieldPal AI, about moving enterprise AI beyond the desk. While much of the conversation around Microsoft Copilot, generative AI and productivity focuses on knowledge workers, Fergus makes the case for the people maintaining infrastructure, repairing equipment, carrying out inspections and keeping essential services running. These frontline teams often work with limited connectivity, limit...

Modern Microsoft 365 development is about far more than writing code. Organizations expect solutions that integrate seamlessly across SharePoint, Microsoft Teams, Microsoft Graph, Azure, and Microsoft 365 while remaining scalable, secure, maintainable, and ready for future innovation. In this episode of M365.FM, Microsoft MVP Julie Turner shares decades of real-world experience designing enterprise-grade Microsoft 365 solutions. From SharePoint Framework (SPFx) and Microsoft Graph to PnPjs, open...

This episode features Alan Buscaglia [MVP], creator of the Gentleman Programming YouTube channel, discussing why enterprise AI success depends on far more than choosing the latest language model. Together, we explore the shift from AI hype to AI Harness Engineering—a practical approach to building AI systems that are secure, governed, observable, and trustworthy. Alan explains why prompt engineering alone is no longer enough. Organizations need an AI harness that manages context, validates outputs, enforces security, integrates with enterprise data, and provides continuous monitoring. These guardrails transform AI from an experimental chatbot into a dependable business capability that teams can confidently use in production. The conversation also covers the importance of trust in AI adoption. Users must know that AI produces reliable answers, protects sensitive information, follows organizational policies, and remains transparent in its decision-making. Alan shares practical gui…

In this episode of the M365.fm podcast, Nathan Rose joins the show to explore how Copilot Studio, Dataverse, and the Model Context Protocol (MCP) are shaping the future of agentic AI in Microsoft 365. The conversation dives into how organizations can move beyond simple chatbots and build intelligent agents that understand intent, access business data, and take meaningful actions across systems. Nathan explains why Dataverse has become a critical foundation for AI-powered business applications, providing structured data, security, and governance that enterprise AI solutions require. The discussion then focuses on MCP, an emerging open standard that enables AI agents to connect with external tools, data sources, and business systems in a more consistent and scalable way. Listeners will learn how MCP reduces integration complexity, allowing Copilot Studio agents to interact with Dataverse, Dynamics 365, Microsoft services, and even third-party systems without relying on large numbe…

In this episode of the M365 Voice podcast, host Mirko Peters is joined by Parvez Ghumra to explore the critical role of Application Lifecycle Management (ALM) in the Power Platform. The conversation moves beyond simple solution deployments and dives into what it takes to build enterprise-ready Power Platform solutions that are scalable, maintainable, and governed effectively. Parvez shares his journey from traditional software development into the low-code world and explains why citizen development and professional development must work together. Listeners will learn how source control, automated deployments, Azure DevOps, GitHub, and governance practices can transform Power Platform projects from manual, error-prone processes into reliable enterprise delivery pipelines. The discussion also covers common ALM challenges, how organizations can avoid deployment pitfalls, and practical strategies for introducing DevOps principles into Power Platform environments. Whether you're a ma…

This episode explores the emerging architecture behind AI-generated filmmaking and why creating high-quality AI movies is no longer about using a single tool. Instead, successful AI film production requires an orchestrated workflow where different models and platforms handle specific stages of the creative process. The discussion focuses on how tools such as Microsoft Copilot, Seedance, Higgsfield, and other generative AI platforms fit into a larger production pipeline. Rather than relying on one model to generate an entire movie, creators increasingly use specialized systems for ideation, scripting, storyboarding, shot planning, character consistency, motion generation, editing, and post-production. A key theme is the shift from prompt engineering to architecture design. The real challenge is no longer writing better prompts but designing workflows that coordinate multiple AI models and creative stages. This mirrors how modern software systems evolved from standalone applicatio…

In this episode of the M365.fm podcast, Mirko Peters speaks with Microsoft MVP and MCT Anitha Eswaran about the realities of integrating Dynamics 365 Finance & Operations (D365FO) into modern enterprise environments. The discussion focuses on why integrations often become fragile, difficult to scale, and hard to govern when organizations rely on outdated architectural thinking or tightly coupled systems. The episode explores how Azure-native integration patterns can improve reliability, scalability, and long-term maintainability. Anitha explains the importance of event-driven architecture, asynchronous communication, APIs, and message-based systems when connecting D365FO with Microsoft 365, Power Platform, external SaaS platforms, and legacy enterprise applications. Rather than building direct point-to-point integrations, the conversation emphasizes designing loosely coupled systems that can evolve without constantly breaking dependencies. Another key topic is governance and ope…

In this episode, we challenge a common misconception in Microsoft 365 governance: having policies in place does not mean your environment is truly governed. Many organizations rely on documented rules, guidelines, and compliance frameworks, assuming they will control user behavior and protect data. In reality, these policies often exist only on paper and fail to enforce consistent actions across dynamic, fast-changing environments. We explore the gap between intention and enforcement, highlighting why governance becomes fragile when it depends on manual processes, user compliance, or periodic reviews. As organizations scale, this approach leads to policy drift, inconsistent configurations, and increased risk exposure—especially in areas like data protection, identity management, and collaboration tools. The episode introduces a more resilient approach: treating governance as a system, not a document. By combining automated enforcement, identity-driven access controls, monitoring…