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M365 FM Podcast
M365 FM Podcast
The M365 FM Podcast is your daily destination for everything happening across the Microsoft cloud. We cover the full spectrum of Microsoft 365, including Teams, SharePoint, Exchange, OneDrive, and the tools driving the modern workplace. Each episode delivers practical insights, expert interviews, and hands-on strategies for IT admins, cloud architects, developers, power users, and decision-makers in the Microsoft ecosystem.

We explore the latest M365 updates, dive into Power Platform topics like Power Apps, Power Automate, Power BI, Power Pages, and share real-world guidance on automation, digital transformation, and low-code development. You’ll also get deep insights into Azure, including cloud infrastructure, Azure AD / Entra ID, identity, hybrid cloud, and Azure security.

The show features focused discussions on Microsoft 365 Security, Defender, compliance, DLP, Zero Trust, and the best practices needed to protect and optimize your environment. We also highlight how AI and Copilot for Microsoft 365 are transforming productivity, collaboration, and automation across the cloud.

Whether you want to improve Teams collaboration, strengthen security, enhance cloud architecture, or stay ahead of the latest Microsoft 365, Azure, Power Platform, and AI announcements, The M365 Podcast is your essential guide. M365 FM Podcast is Part of the M365.Show Network.
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Recent Episodes

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Your Machine Data Never Becomes a Decision. Here's the Missing Pipeline.
Oct. 20, 2026

Your Machine Data Never Becomes a Decision. Here's the Missing Pipeline.

REPLACING THE EXCEL BOTTLENECK: BUILDING A REAL-TIME DECISION PIPELINE A modern factory is a hive of real-time data, with sensors, controllers, and supervisory systems tracking every machine state, fault code, and temperature fluctuation. Yet, when a...
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From Sensor to Dashboard: The MQTT Pipeline Through Azure IoT Hub
Oct. 19, 2026

From Sensor to Dashboard: The MQTT Pipeline Through Azure IoT Hub

When a machine stops, a planner needs more than a red line on a dashboard. They need to know what stopped, why it stopped, which order sits on that line, and whether the production plan can still hold. Moving raw signals from a factory floor into cloud analytics requires a reliable architecture that spans field sensors, industrial gateways, message brokers, and cloud ingestion layers. CAPTURING THE SIGNAL AT THE EDGEA sensor signal is not yet manufacturing information. Picture a packaging line
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Azure DPS: Why Provisioning 100,000 IoT Devices Is an Architecture Problem
Oct. 19, 2026

Azure DPS: Why Provisioning 100,000 IoT Devices Is an Architecture Problem

Provisioning ten devices on a shop floor is simple, as a technician can easily punch in a connection string and confirm telemetry. However, trying that same manual approach with one hundred thousand devices spread across global factories and customer networks causes every shortcut to turn into an architectural failure. Moving beyond basic setups requires a robust understanding of device identity, trust boundaries, hub routing, and long-term fleet management. MANUFACTURING VERSUS OPERATIONAL IDE
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Digital Twins on Azure: What Should You Actually Model?
Oct. 18, 2026

Digital Twins on Azure: What Should You Actually Model?

Welcome to a brand-new episode where we cut straight through vendor hype and tackle the real problems of digital twins on Azure. Everyone wants a digital twin, but almost nobody starts with the actual problem their plant needs to solve. Data already lives across your ERP, MES, historians, and IoT layers, yet operators still rely on manual phone calls, spreadsheets, and scattered alarms to figure out what a fault actually affects. START WITH THE DECISION, NOT THE ASSETBefore building elaborate a
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What Happens When Sales Promises an Urgent Order
Oct. 11, 2026

What Happens When Sales Promises an Urgent Order

An urgent customer request sounds simple: sales promises a fast delivery date, marks the order as priority, and asks production to fit it in. But the new order does not enter an empty factory. It enters a schedule already filled with machine reservations, material allocations, setup plans, qualified people, inspection capacity, maintenance windows, and promises made to other customers. The real question is therefore not simply whether the urgent order can be produced, but which existing commitme
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Why AI Can't Optimize a Factory It Doesn't Understand
Oct. 9, 2026

Why AI Can't Optimize a Factory It Doesn't Understand

A machine stops in the middle of production. ERP knows the customer orders and due dates, MES knows which operation stopped, maintenance knows the repair status, and the machine layer knows the fault code and exact timestamp. Then someone asks the obvious question: what should we do now? AI can summarize the alarm, find patterns in historical downtime, and explain what probably happened. But unless it also understands which product was running, which orders depend on that operation, which machi
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Production Schedule Optimization - How to Build Better Production Schedules
Oct. 9, 2026

Production Schedule Optimization - How to Build Better Production Schedules

A production schedule can look correct while the factory has already moved on. A machine runs slower than expected, a setup takes longer, material is still waiting for release, or an urgent order enters the plan. ERP still shows the original dates, MES shows current execution, and the supervisor has already started adjusting the sequence on the floor. The real challenge is keeping the schedule connected to what production can actually do now. FROM PRODUCTION PLAN TO EXECUTABLE SCHEDULE A produc
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What Is an Industrial Data Model
Oct. 8, 2026

What Is an Industrial Data Model

A factory can collect enormous amounts of data and still struggle to answer a basic operational question: what does this event actually affect? ERP knows customer orders, materials, planned dates, and inventory. MES knows what is executing on the shop floor. PLCs and SCADA know machine states, alarms, and process values. Maintenance knows asset condition and service history. Quality knows inspection and release status. Engineering knows the product definition. The problem is not usually a lack
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How Machine Data Reaches Microsoft Fabric - From OPC UA to Real-Time Analytics
Oct. 7, 2026

How Machine Data Reaches Microsoft Fabric - From OPC UA to Real-Time Analytics

Getting machine alarms, sensor values, production counters, and fault events into the cloud is easier than ever. OPC UA exposes the machine signal, an edge layer collects it, MQTT can distribute it locally, and Microsoft Fabric can ingest and analyze the resulting stream. The difficult part starts after the data arrives: how do you turn raw telemetry into enough production context to support an actual decision? This episode follows one machine signal from the factory floor through the Microsoft
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Connectivity Is Not Integration — Why Your Connected Factory Still Can't Answer the Right Questions
Oct. 6, 2026

Connectivity Is Not Integration — Why Your Connected Factory Still Can't Answer the Right Questions

A connected factory can move machine signals in milliseconds and still fail to answer the operational questions that actually matter. A packaging machine stops, the PLC reports the fault, OPC UA exposes the event, MQTT distributes it, and the dashboard updates immediately. Maintenance receives an alert and everything appears connected. Then the planner asks which customer shipment is now at risk, and suddenly the answer requires MES data, ERP records, maintenance history, quality status, product
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Why Continuous Improvement Needs Better Data
Oct. 4, 2026

Why Continuous Improvement Needs Better Data

Continuous improvement is supposed to create learning that compounds over time. In many factories, however, improvement work still depends heavily on workshops, spreadsheets, isolated reports, and what people remember from the previous shift. A Kaizen event can create visible progress, but a few weeks later the same loss often appears again under slightly different production conditions. The issue is not always the quality of the improvement idea. The bigger problem is that teams often cannot pr
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IoT Hub Message Routing vs Event Grid — Why Telemetry and Events Are Not the Same Problem
Oct. 2, 2026

IoT Hub Message Routing vs Event Grid — Why Telemetry and Events Are Not the Same Problem

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
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Building Azure That Survives the Real World — with Mike Martin [MVP]
Oct. 1, 2026

Building Azure That Survives the Real World — with Mike Martin [MVP]

Azure architecture looks easy when everything works.The real test starts when dependencies fail, regions become unavailable, traffic spikes, assumptions turn out to be wrong, requirements change, and someone eventually asks the uncomfortable question: why did we design it this way in the first place?In this episode of M365.FM, Mirko Peters talks with Mike Martin [MVP] about what Azure architecture looks like when it has to survive real production conditions rather than just look good on a diagra
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Why Your Production Schedule Is Wrong Before It Even Starts
Sept. 28, 2026

Why Your Production Schedule Is Wrong Before It Even Starts

Your production schedule can look perfectly reasonable when it leaves the ERP system. Order dates line up, routing times make sense, capacity appears available, and material status suggests that production is ready to go. The problem is that the schedule is still only an assumption about the future.The moment production begins, the factory starts generating new facts. Material arrives later than expected, a batch is still waiting for quality inspection, a fixture is unavailable, an operator with
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About the Hosts

Mirko Peters Profile Photo
Mirko Peters

Microsoft MVP | Host of M365.fm | Founder of M365 Show and M365Con

Mirko Peters is a Microsoft MVP, podcast host, and founder of M365.fm, M365 Show, and M365Con. His work connects Microsoft practitioners through podcast interviews, livestreams, and community events.

At M365.fm, Mirko hosts conversations with Microsoft MVPs, product experts, architects, and community contributors. Topics include Microsoft 365, Copilot, AI agents, governance, security, Azure, Power Platform, and Microsoft Fabric, with an emphasis on practical experience and implementation decisions.

M365.fm is the podcast and learning platform. M365 Show brings experts together for livestreams, while M365Con provides an online conference setting for community learning.

Official website: Mirko Peters (https://www.mirkopeters.com/). Recognition: Mirko Peters — Microsoft MVP profile (https://mvp.microsoft.com/de-DE/mvp/profile/9b0ca797-db5a-493a-a845-8b9158046cf5). Connect on LinkedIn (https://www.linkedin.com/in/m365showpodcast/).

Carina de Vries [MVP] Profile Photo
Carina de Vries [MVP]

Carina de Vries is a Microsoft MVP for Microsoft 365, Teams and Copilot, an IT adoption expert, speaker, and host with more than fourteen years of experience helping organizations turn technology into something people can actually understand, use, and benefit from.

Her career started in office automation and application management, giving her a broad perspective on the digital workplace: from technology and IT management to end users, work processes, behavior, and organizational change. Today, she specializes in the human side of Microsoft 365, Teams, Copilot, and AI adoption.

Carina is particularly interested in what happens after technology has been implemented. Because making a tool available is not the same as changing the way people work. Her work explores the gap between implementation and actual adoption: why people embrace technology, why they resist it, and what organizations need to do differently to create lasting change.

Her approach is built around three principles: Verwonderen, Versimpelen and Verankeren — first understanding what is really happening, then making change simpler and easier to grasp, and finally embedding new behavior into everyday work.

Alongside her work in IT adoption, Carina is an experienced speaker, podcast and radio host, and active member of the Microsoft community. She has spoken at *Microsoft Ignite, where her session on moving from Copilot pilot to productivity was selected as one of the Top 10 MVP Theater Sessions. She is also a board member of Dutch Women in Tech*, contributing to greater visibility, connection, and opportunities for women in the technology industry.

As a host, Carina combines curiosity with a talent for asking the question behind the question. She enjoys conversations at the intersection of technology, work, leadership, and human behavior — especially when they challenge assumptions about how technological change actually happens.

Her guiding belief is simple: technology may enable change, but people determine whether it creates value.

Emma-Claire (Pengelly) Shaw Profile Photo
Emma-Claire (Pengelly) Shaw

Microsoft MVP | Power Platform Governance & Enablement Specialist 🚀 | M365 Enthusiast 🤓 | International Speaker 🎤

I am a creative leader and enthusiastic problem solver with a focus on leveraging Microsoft technology to drive business change. Passionate about cloud-enabled transformation, I specialize in leading M365 and AI adoption and enablement, with a particular focus on the Power Platform. My goal is to unlock the immense value this technology offers, accelerating digital transformation and empowering individuals to make a meaningful impact. With 17 years of experience in technology innovation and consultancy, I excel at identifying and harnessing emerging tech to transform enterprises and deliver lasting value.

Craig White Profile Photo
Craig White

Principal Architect, Co-host @ Power Platform Panic Room podcast, former Microsoft MVP

Power Platform Architect with 15yrs experience across the Power Platform stack, as well as VBA, SQL Server, SharePoint, M365 Services & Azure.

Anitha Eswaran Profile Photo
Anitha Eswaran

D365FO Technical Architect | 4x Microsoft MVP in AI ERP | 2x MCT | Global Speaker & ERP Integration Specialist

I am a Microsoft MVP in AI ERP and Microsoft Certified Trainer (MCT) with 19+ years of architectural and technical expertise in Microsoft Dynamics AX and Dynamics 365 Finance & Operations (D365FO). My career spans multiple versions (D365FO, AX2012, AX 5.0/4.0/3.0) and includes 12 successful end‑to‑end implementations across diverse industries.

As a Technical Architect, I specialize in designing and delivering complex ERP solutions and integrations that transform enterprise systems into scalable, business‑driven solutions. My approach emphasizes automation, efficiency, and secure design, enabling organizations to accelerate deployments, streamline operations, and achieve reliable outcomes.

Core Expertise:

ERP Implementations: 12 successful rollouts (9 with D365FO, 2 with AX2012, 1 with AX5.0)

Upgrades & Migrations: AX2012 → D365FO upgrades; automated data migration with Azure Data Factory (ADF) to optimize UAT cycles

Integration Architecture: Proven experience with DIXF, OData, Logic Apps, Azure Data Factory, Azure Service Bus, Dual Write, and Power Platform integration.

Leadership & Recognition:

Community Contributor: Active speaker, mentor, and knowledge‑sharer at global bootcamps and user groups

Microsoft Recognition: Honored as MVP in AI ERP and MCT, reflecting both technical excellence and commitment to advancing the Microsoft ecosystem

Sponsors

Power Platform Academy
ServiceNow
PowerBros
DesignKit for Power Apps
Data Science Consulting
IT for Business Podcast

As Seen In

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Practical Microsoft 365 Knowledge You Can Apply

M365.fm provides structured, practical guidance to help you understand and implement Microsoft 365, Copilot, Teams, Power Platform, and Security in real-world scenarios.

Instead of focusing on theory, we explain how Microsoft technologies work in practice — including architecture, governance, automation, and security considerations. Our goal is to give you clear, actionable insights you can apply directly in your daily work.

You’ll find guidance on topics such as Microsoft 365 architecture, Teams and SharePoint governance, identity and access management with Entra ID, Power Platform solutions, and the responsible use of AI with Copilot.

From Understanding to Implementation

Understanding Microsoft 365 is only the first step. M365.fm helps you move from learning to execution.

We break down complex concepts into structured explanations that highlight:

  • What a feature or service does
  • How it works in real environments
  • When to use it — and when not to
  • Best practices, limitations, and common pitfalls

This approach helps you design better solutions, avoid typical mistakes, and make informed technical decisions.

Built for Real-World Microsoft 365 Scenarios

M365.fm is designed for IT professionals, architects, and decision-makers working with Microsoft cloud technologies in real organizations.

Whether you are planning a new setup, improving governance, securing your environment, or introducing Copilot and automation, you’ll find reliable guidance tailored to practical use cases — not just theory.

By combining structured knowledge with real-world insights, M365.fm helps you simplify complexity, strengthen security, and get more value out of Microsoft 365.