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PODCAST

M365.FM a Microsoft MVP Podcast by Mirko Peters

Mirko Peters - Founder of m365.fm, m365.show and m365con.net

M365.FM is a podcast about Microsoft 365, Microsoft Copilot, AI, Modern Work, security, governance, Power Platform, Azure, and the technologies shaping the future of work.Hosted by Microsoft MVP Mirko Peters, M365.FM brings together Microsoft MVPs, Microsoft employees, product experts, architects, developers, and community leaders from around the world.Each episode goes beyond announcements and hype to explore what Microsoft technologies mean in practice. From Microsoft 365 Copilot and AI agents to

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All Episodes

107:56

What Happens When Sales Promises an Urgent Order

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/11

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 commitment

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105:53

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

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/10

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 machines

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106:54

Production Schedule Optimization - How to Build...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/09

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 SCHEDULEA production

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107:45

What Is an Industrial Data Model

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/08

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 of

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120:55

How Machine Data Reaches Microsoft Fabric - From OPC...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/07

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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125:14

Connectivity Is Not Integration — Why Your Connected...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/06

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, production

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107:52

Why Continuous Improvement Needs Better Data

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/05

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 prove

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110:58

IoT Hub Message Routing vs Event Grid — Why Telemetry...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/02

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 Routing

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65:14

Building Azure That Survives the Real World — with...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/10/01

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

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103:39

Why Your Production Schedule Is Wrong Before It Even...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/28

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 a

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54:31

Microsoft 365 Copilot Without the Hype: Adoption,...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/24

Microsoft 365 Copilot can help people find information and get work done faster, but its answers depend on the content and permissions already in an organization’s Microsoft 365 tenant. In this episode of the M365 FM podcast, Mirko Peters speaks with Microsoft MVP Paul Keijzers, founder of KB Works, about preparing Microsoft 365 for Copilot in a practical, responsible way. They look beyond demos and licensing to the foundations that shape Copilot results: SharePoint, Microsoft Teams, OneDrive, data

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69:04

When Microsoft Messaging Looks Secure but Isn’t —...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/24

Microsoft Exchange and Microsoft 365 make it possible to run powerful messaging environments, but moving email to the cloud does not automatically make it secure. In this episode of the M365 Show, host Mirko Peters [MVP] talks with Thomas Stensitzki [MVP] about the security gaps that can hide in Exchange Server, Exchange Online, and hybrid deployments. Drawing on more than 25 years of messaging experience, Thomas explains how identity protection, careful configuration, secure mail flow, and

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17:46

Content Understanding & Document AI - Simply Explained

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/18

Invoices, contracts, receipts, forms, scanned PDFs, and email attachments contain valuable business information — but most automation still struggles to turn those documents into reliable, structured data.In this episode of M365 FM – Simply Explained, we break down Microsoft Content Understanding, Document AI, OCR, AI Builder, Power Automate, Dataverse, and Power Apps and explain how they work together to transform documents into usable business data and automated processes.You’ll learn why

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110:20

IoT Hub Message Routing vs Event Grid — Why Telemetry...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/18

A machine sends temperature readings, vibration data, cycle counts, power consumption, and operating states every few seconds. Then the gateway suddenly disconnects. Are all of those messages simply “events”? Technically, you could describe them that way. Architecturally, that can create serious problems. Azure IoT Hub Message Routing and Azure Event Grid solve different problems. One path is designed around preserving and distributing operational data. The other is designed around notifying systems

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18:11

The 5 Pillars of Data Transformation - Simply Explained

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/18

AI was supposed to clear the backlog, accelerate decisions, and give every team a smarter way to work. Instead, many organizations now have Microsoft Copilot, Power BI, Microsoft Fabric, AI agents, and more data than ever before—while important decisions still crawl through meetings because nobody fully trusts the numbers or knows who can act on them. The technology spend keeps rising. The action does not. The problem is often not a lack of AI. It is the absence of an operating model connecting

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122:40

Your Factory Cloud Bill Is Much Higher Than You Think

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/17

Cloud storage may look cheap. Sending factory data to the cloud may look cheap. But the real cloud bill often starts when that data begins moving. In this episode, we break down the hidden costs behind modern Industrial IoT, manufacturing cloud, edge computing, and factory data architectures — from data egress and cross-region replication to NAT gateways, backups, dashboards, and high-frequency sensor data. A single MQTT stream from a factory can quickly become multiple data flows once telemetry is

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66:21

From Financial Data to AI-Ready Decisions: Power BI,...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/16

What happens when AI agents start making sense of financial and business data — not just displaying it?In this episode of M365.FM, Mirko Peters talks with Rishi Sapra Microsoft MVP about the architecture required to move beyond traditional dashboards and toward AI-powered, context-aware analytics with Microsoft Fabric, Power BI, Copilot Studio, semantic models, ontologies, and data agents.Organizations already have enormous amounts of information spread across ERP systems, Excel workbooks, Power BI

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104:26

Why Your ERP Can't Build an Optimal Production Schedule

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/16

Your ERP can calculate production dates, explode demand through MRP, manage routings, inventory, purchase orders, and production orders. But that does not automatically mean it can create a production schedule that your factory can actually execute. In this episode, we break down the gap between ERP planning and finite production scheduling — and explain why a schedule can look perfectly reasonable in the ERP while multiple orders are competing for the same machine at the same time.THE

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107:10

Production Planning Software: When Does a...

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/16

When does a manufacturer actually need dedicated production planning software? It is not when the company reaches a certain size. It is not when Excel suddenly becomes “unprofessional.” And it is definitely not because a software vendor showed you a beautiful Gantt chart. The real threshold comes when production complexity, constraints, and constant change become too difficult for planners to reliably coordinate through ERP dates, spreadsheets, whiteboards, calls, emails, and experience alone. In

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116:53

Can You Simulate Your Factory Before Changing It?

M365.FM a Microsoft MVP Podcast by Mirko Peters ·

2026/09/16

What happens when you change a factory before you know how the rest of the production system will react? Adding a shift, buying a new machine, reducing buffers, changing staffing, or accepting a different product mix can look like obvious solutions. But factories are interconnected systems. Improving capacity at one resource can simply move the bottleneck somewhere else. In this episode, we explore factory simulation, production planning, Digital Twins, finite capacity, bottleneck management, and

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