
M365.FM - Modern work, security, and productivity with Microsoft 365
The M365.FM podcast covers the Microsoft 365 ecosystem and related cloud services, including Azure, Power BI, Power Platform, Teams, Viva, Fabric, and Purview. Each episode discusses the latest developments, real-world use cases, and best practices, with interviews featuring industry leaders. The show is aimed at IT professionals, business decision-makers, developers, and data enthusiasts who want to keep pace with cloud and collaboration technology. It also covers security and productivity topics within the Microsoft ecosystem. The podcast is part of the M365-Show Network.
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Edge vs. Cloud in Manufacturing- Why the Wrong Architecture Costs You More
When a production line halts mid-shift, the real cost isn't just measured on a cloud billing dashboard. It manifests as physical scrap, operators standing idle at a stopped station, and networks flooded with unneeded data. Most cloud-first projects fail because they immediately push everything upward, ignoring the reality of the factory floor where milliseconds and local constraints dictate whethe

Windows Hello for Business - Simply Explained
Microsoft's cloud sees over three hundred million fraudulent sign-in attempts every day, and almost all of them are aimed at passwords. You might think the fix is a longer password, but the real fix is to take the password out of the picture.In this episode of Simply Explained you will learn:Why passwords failWhat Windows Hello for Business isYour PIN is not a passwordWhere your face and fingerpri

Fabric Mirroring - Simply Explained
Changes to your database can land in Microsoft Fabric as fast as fifteen seconds later. That is the promise of Fabric Mirroring, and it is not the same thing as copying your data once.In this episode of Simply Explained you will learn:Why Your Data Is StuckHow the Copy Actually Gets ThereWhat You Get Once It's ThereWhich Sources You Can MirrorMirroring vs Shortcuts vs PipelinesWhat It Costs and Wh

Microsoft Purview Unified Catalog - Simply Explained
Your company's data isn't missing, it's just impossible to find. Most teams keep their data spread across different systems, and when someone needs the right numbers, they end up asking around instead of searching.In this episode of Simply Explained you will learn:The Data ProblemWhat It Actually IsDomainsData ProductsGlossary TermsData QualityWho Uses ItRecap and One QuestionSimply Explained by M

Power BI Semantic Models - Simply Explained
You think your Power BI problem is the chart, but the chart is the easy part. Every report you build is powered by a layer underneath it called a semantic model, and it holds the tables, the links, and the calculations that turn raw data into business-ready numbers.In this episode of Simply Explained you will learn:What a Semantic Model Really IsTables, Relationships, and MeasuresStar Schema, Minu

Windows Autopatch - Simply Explained
Every company that runs Windows is stuck with the same unpaid chore: patching hundreds of machines, every month, forever. Most IT teams don't fall behind because they're careless, they fall behind because that job never actually ends.In this episode of Simply Explained you will learn:What It Actually IsThe Problem It SolvesWhere Intune Fits InThe RingsThe GroupsReadiness ChecksThe ReportsWhat It U

PowerShell for Microsoft 365 - Simply Explained
An hour of clicking in Microsoft 365 does the job of one typed line. That typed line is PowerShell, and it's the difference between doing a task once and doing it a hundred times.In this episode of Simply Explained you will learn:What PowerShell Actually IsWhy Admins Reach For ItThe Modules: Graph PowerShell and Exchange OnlineConnecting and Signing InCmdlets and the PipelineSafe Scripting HabitsC

What Is a PPR Knowledge Graph — and Why Manufacturing AI Needs One
UNLOCKING FACTORY AI: WHY YOUR PLANT NEEDS PRODUCT-PROCESS-RESOURCE (PPR) KNOWLEDGE GRAPHSFactory artificial intelligence is often capable of reading massive amounts of data, yet it frequently lacks a fundamental understanding of the actual plant environment. Enterprise Resource Planning (ERP) systems know the orders, Manufacturing Execution Systems (MES) know the operations, and historians know t

Should You Buy Another Machine—or Change the Production System?
Here are the show notes based on the transcript provided, organized by key themes and structured to provide a clear summary of the core arguments against reactive machine purchases and for a systems-based approach using simulation.Episode Notes: Machine Capacity vs. System OutputOverviewA growing queue, slipping lead times, and sales demanding answers often trigger a reflex: "We need another machi

Copilot+ PCs - Simply Explained
One number decides whether your next laptop gets the AI features, and it's forty. Every new Windows laptop claims to be an AI PC, but only a special few earn the Copilot+ badge.In this episode of Simply Explained you will learn:What Makes a PC a Copilot+ PCThe Chip Most People Have Never Heard OfWhat Runs Right on Your LaptopWhere Your Data Actually GoesCopilot+ PC vs an Ordinary AI PCWho Actually

Fabric IQ - Simply Explained
Somewhere in your Fabric workspace, two teams are calling the same customer two different things. Your data is fine, but the meaning behind it has quietly drifted apart.In this episode of Simply Explained you will learn:What Fabric IQ Actually IsWhy Data Alone Isn't EnoughThe Ontology, ExplainedHow It Connects to Semantic ModelsHow It Grounds AI AgentsWhere It StopsWhat This Means For YouRecap and

Work IQ: Simply Explained
The AI on your desk is missing the most important thing about your work. It reads the one file you paste in, then forgets your team and your projects.In this episode of Simply Explained you will learn:What Work IQ Actually IsWhy Copilot Needed A MemoryThe Three Layers, In Plain WordsHow It Understands People And RelationshipsIt Only Sees What You Are Allowed To SeeWhere Your Data LivesWhat It Mean

Fabric SQL Database - Simply Explained
Fabric and SQL sound like two different things, but Microsoft built them into one. It's called a SQL database in Fabric, and underneath it runs the same engine that powers Azure SQL Database.In this episode of Simply Explained you will learn:What a Fabric SQL Database Really IsWhy It Feels Like Azure SQL, and Where It Doesn'tThe Copy That Makes ItselfOne Database, Two JobsHow It Uses Your Fabric C

Power Platform Solutions - Simply Explained
The app you spent months building can disappear the moment someone uninstalls the wrong thing. That happens when nothing is holding the app's pieces together, so one cleanup can take the whole thing with it.In this episode of Simply Explained you will learn:What a Solution Actually IsManaged and Unmanaged: The Two ModesPublishers and PrefixesMoving Your App Between EnvironmentsSolution LayersDepen

Azure Resource Graph - Simply Explained
Azure Resource Graph is a service inside Azure that lets you ask questions about your resources and get fast answers, even when you have thousands of them. The name sounds heavier than the thing really is.In this episode of Simply Explained you will learn:What Azure Resource Graph Actually IsWhy the Normal Way of Asking Azure Breaks DownThe Query Language, Explained Without the Scary PartsYour Fir

Azure Databricks - Simply Explained
Apache Spark started as a research project at a university in 2009, and it grew into the engine most big data platforms still run on today. Azure Databricks is how Microsoft and the people who built Spark turned that engine into a service you can spin up inside Azure.In this episode of Simply Explained you will learn:What Azure Databricks Actually IsWhy the Lakehouse Idea ExistsApache Spark, in Pl

Azure Lighthouse - Simply Explained
An outside company can manage your Azure setup without ever holding your password. That's what Azure Lighthouse does, and it's Microsoft's fix for a weekly headache.In this episode of Simply Explained you will learn:The Two Houses ProblemWhat Azure Lighthouse Actually IsThe Handshake: How the Door Gets BuiltWho Uses It and Who Approves ItThe Security Story: Who Really Holds the KeysWhat Azure Ligh

Azure Management Groups and Subscriptions - Simply Explained
Every Azure story starts the same way, with one subscription, one team, and one bill, so everything feels simple. Then a project needs its own space, so someone creates a second subscription.In this episode of Simply Explained you will learn:Why Azure Turns Into a Mess Without a MapThe Subscription Is Where Your Azure Actually LivesManagement Groups Are the Folder Above Your SubscriptionsHow Permi

Azure Reservations and Savings Plans - Simply Explained
Normally the cloud bills you after the fact. You start a virtual machine, it runs for a month, and the bill arrives based on what you used.In this episode of Simply Explained you will learn:Why Pay Before You Use ItAzure Reservations, Simply ExplainedAzure Savings Plans, the Looser OptionWhat Each One Actually CoversWhich One FitsOne Year or ThreeWhere Your Discount AppliesThe Only Math That Matte

SPF, DKIM and DMARC - Simply Explained
Anyone with a laptop can send email that pretends to be your company. The email system we all rely on was built to move messages, not to check who the sender really is.In this episode of Simply Explained you will learn:Why Anyone Can Send Email as YouSPF: The Guest List for Your DomainDKIM: The Tamper-Proof SealDMARC: The Rule That Ties It TogetherWhat the Records Actually Look LikeNone, Quarantin

Azure App Service - Simply Explained
The tier you pick on Azure App Service decides what your app is even allowed to do. It's Microsoft's managed home for web apps and APIs, so you bring the code and Microsoft runs the machines underneath.In this episode of Simply Explained you will learn:What It Actually IsThe Plan Is the ProductWeb Apps and APIsPricing Tiers, DecodedDeployment SlotsScaling Up Versus OutDomains and CertificatesMista

Azure Machine Learning - Simply Explained
Machine learning is a program that finds patterns in examples instead of following rules a person wrote by hand. That's the whole idea.In this episode of Simply Explained you will learn:What Machine Learning Really IsWhat Azure Machine Learning Actually DoesThe WorkspaceData and ComputeBuilding a ModelTurning It Into PredictionsKeeping It WorkingWhat You'd Actually BuildRecap and One QuestionSimpl

MQTT and OPC UA in Microsoft Manufacturing: Azure IoT Operations + Fabric Architecture
UNTANGLING THE PLANT FLOOR: MQTT vs OPC UA & THE TRUTH ABOUT DISCONNECTED MANUFACTURING DATAWhy are modern factories still running on manual exports and guesswork despite having ERP, MES, and Azure systems in place? This episode cuts through the technology hype to address the core problem: a fundamental lack of trust in manufacturing data. People try to frame industrial connectivity as a winne

Your Machine Data Never Becomes a Decision. Here's the Missing Pipeline.
REPLACING THE EXCEL BOTTLENECK: BUILDING A REAL-TIME DECISION PIPELINEA 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 critical resource like "Line 3" stops unexpectedly, the immediate response often grinds to a halt. The physical event is instantaneous, but the operat

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

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,

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 o

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 qu

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

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 con

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 inspectio

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 ac

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,

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

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 c
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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

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 e
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Microsoft 365 Copilot Without the Hype: Adoption, Governance & Getting Your Tenant Ready with Paul Keijzers [MVP]
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 a
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When Microsoft Messaging Looks Secure but Isn’t — Exchange Server, Hybrid and Microsoft 365 Security with Thomas Stensitzki [MVP]
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 ex

Content Understanding & Document AI - Simply Explained
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 tog

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

The 5 Pillars of Data Transformation - Simply Explained
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

Your Factory Cloud Bill Is Much Higher Than You Think
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 se
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From Financial Data to AI-Ready Decisions: Power BI, Microsoft Fabric, Semantic Models & AI Agents with Rishi Sapra [MVP]
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.Organiza

Why Your ERP Can't Build an Optimal Production Schedule
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 reasonabl

Production Planning Software: When Does a Manufacturer Actually Need It?
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 reli

Can You Simulate Your Factory Before Changing It?
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 explor

APS Software vs. ERP: What's the Difference?
Manufacturers often rely on ERP systems to manage orders, materials, inventory, purchasing, production orders, and financial transactions. But when a machine goes down, an urgent customer order arrives, or a critical operator is unavailable, a different question suddenly matters: Can the production plan actually run? That is where APS — Advanced Planning and Scheduling — differs fundamentally from

Constraint-Based Scheduling: The Architecture That Makes Production Plans Real
Your ERP says the customer order ships on Friday. The work order is released. The routing looks correct. Capacity appears available. Everything looks fine in the planning report. Then Monday morning arrives. A critical five-axis machining center goes down. One order is already in production. Another is waiting for material. A third could theoretically move to another machine — but only if the shar

A Machine Goes Down. How Should Your Production Plan React?
A machine goes down. Maintenance receives the alarm. The operator stops production. The MES records an interrupted operation. But your ERP may still believe that the machine has capacity. And your production schedule may still promise that every order will be completed on time. That is where a machine breakdown stops being only a maintenance problem and becomes a production planning problem. In th

Can Value Stream Mapping Become a Live Data Model?
Value Stream Mapping has been one of the most useful tools in Lean Manufacturing for understanding how material, information, and decisions move through a production system.But traditional Value Stream Mapping has a fundamental limitation.The factory keeps changing. The map does not.You can bring production, planning, quality, maintenance, supply chain, and operations into the same workshop. You c

How Finite Capacity Scheduling Actually Works in Manufacturing
Your ERP says the production order should finish next Thursday. The routing looks correct. Material is planned. Everything appears under control. Then you walk onto the shop floor and discover the machine is already overloaded, the required operator is booked elsewhere, the fixture is in use, or the material exists in ERP but has not actually been inspected and released. That is the gap between pl

Why Your Critical Path Changes When Production Changes
A production plan can look perfectly reasonable — until production actually starts.One machine runs late. A material release slips. A qualified operator becomes unavailable. A quality inspection takes longer than expected. A batch misses its furnace window. Suddenly, a delay of only a few hours can put an entire customer delivery at risk.In this deep dive, we explore how the Critical Path Method (
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How AI Changed Software Development Forever — Building the Agentic Future with Andre Baltieri [MVP]
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 episo
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Architecting Power Platform for Complex Enterprise Solutions with Ian Tweedie [MVP]
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 becom
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Copilot Inherits Your Mess: Modernizing Microsoft 365 for AI with Richard Harbridge [MVP]
Microsoft 365 Copilot doesn’t arrive in a clean Microsoft 365 tenant. It arrives in an environment that organizations have been building for years — full of SharePoint sites, Teams, OneDrive content, duplicate documents, historic migrations, guest accounts, inconsistent permissions, forgotten workspaces, broken ownership models, and content nobody has reviewed in years.For traditional Microsoft 36
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Microsoft 365 Copilot: What Actually Makes People More Productive with Adrian Espes [MVP]
Does Microsoft 365 Copilot really make people more productive?In this episode of the M365 FM podcast, Mirko Peters speaks with Microsoft MVP Adrian Espes about what Copilot actually delivers in everyday work—not in a polished demo, but during a normal working day filled with meetings, emails, documents, Teams messages, deadlines, and constant interruptions.Adrian brings a practical perspective sha
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How Microsoft 365 & Copilot Are Redesigning the Way We Work with Tracy van der Schyff [MVP]
Microsoft 365 has given organizations more tools than ever to communicate, collaborate, automate, and manage information. Now Microsoft 365 Copilot adds an entirely new layer of AI capability. But behind all the discussion about productivity, automation, agents, and AI, there is a much bigger question: are these technologies simply helping us work faster, or are they fundamentally changing the way
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Stop Reinventing SPFx- Building Better SharePoint Solutions with PnP React Controls with Siddharth Vaghasia [MVP]
Modern SharePoint development does not mean building every component from scratch. In this episode of the M365 FM Podcast, Mirko Peters talks with Microsoft MVP Siddharth Vaghasia about building production-ready SharePoint Framework (SPFx) solutions by combining the right Microsoft 365 technologies with reusable community components.Siddharth brings nearly 18 years of experience across the Microso
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SharePoint Isn't Boring Anymore: How Copilot Is Reinventing the Modern Workplace with Marcin Siewnicki [MVP]
For years, SharePoint has carried a reputation for complicated document libraries, outdated intranets, confusing navigation, too many sites, and information that employees simply cannot find. But Microsoft 365 is changing, and Copilot is making SharePoint more important than it has been in a long time.In this episode of the M365 FM Podcast, Mirko Peters talks with Microsoft MVP Marcin Siewnicki ab
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Microsoft Fabric End-to-End: From Raw Data to Business Decisions with Amit Chandak [MVP]
Microsoft Fabric brings data engineering, analytics, business intelligence, governance and increasingly AI together in one platform. But what does an end-to-end Fabric architecture actually look like when you move beyond individual features and start connecting everything?In this episode of the M365 FM Podcast, Mirko Peters is joined by Amit Chandak [Microsoft Data Platform MVP] for a practical jo
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Beyond Copilot: Building Enterprise AI Agents That Actually Work with Copilot Studio with Manpreet Singh [MVP-MCT]
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
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From Copilot Rollout to AI Workplace: Adoption, Agents & Real Business Value with Christoffer Besler Hansen [MVP]
Microsoft 365 Copilot has moved beyond the question of “What can generative AI do?” The harder challenge is now turning AI into something thousands of employees actually use, trust, and derive measurable business value from. In this episode of M365 FM, Mirko Peters talks with Microsoft MVP Christoffer Besler Hansen, Head of AI Workplace at Atea Group, about what it takes to move from a Copilot rol
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Azure Local and Landing Zones: How to Build Hybrid Cloud the Right Way with Christoffer Klarskov Jakobsen [MVP]
What happens when your cloud strategy cannot live entirely in the public cloud? Organizations are modernizing infrastructure with Azure, platform services, Infrastructure as Code, automated deployment pipelines, and Azure Landing Zones. At the same time, some workloads still need to remain close to factories, offices, regulated environments, existing infrastructure, or latency-sensitive systems. I

Dynamics 365 Business Central AL Development
Business Central handles finance, customers, sales orders, inventory, and invoices out of the box. But what happens when your company needs one additional field, a custom approval step, a new business rule, or functionality that doesn't exist in the standard application? In this episode of M365 FM, Mirko Peters explains Dynamics 365 Business Central AL Development—how developers use Microsoft's AL

Dynamics 365 Dual-write - Simply Explained
A salesperson updates a customer address in Dynamics 365 Sales. Later, someone in finance opens the same customer and still sees the old address. Which one is correct? When sales, service, finance, and operations work in different applications, shared business data can quickly become duplicated or inconsistent. In this episode of M365 FM, Mirko Peters explains how Dynamics 365 Dual-write connects

Dynamics 365 Accounts Payable - Simply Explained
A supplier invoice arrives. The goods may already be sitting in your warehouse or the service may already be complete—but what actually needs to happen before money leaves the company? Dynamics 365 Accounts Payable connects vendor records, invoices, purchase orders, receiving, invoice matching, approvals, payment runs, bank accounts, and settlement into one controlled financial process. In this ep

Dynamics 365 Virtual Entities - Simply Explained
What happens when your sales team works in Dynamics 365, but inventory lives in a warehouse system, invoices live in finance, and product information lives in an ERP? You could copy all that information into Dataverse, but then you create duplicate records, synchronization jobs, delays, and another place where information can become outdated. In this episode of M365 FM, Mirko Peters explains how D

Dynamics 365 Product Information Management - Simply Explained
What happens when sales, purchasing, warehouse teams, and your online store all have different information about the same product? A supplier changes a specification, one spreadsheet gets updated, another system doesn't, and suddenly customers receive outdated information or employees order the wrong item. In this episode of M365 FM, Mirko Peters explains how Dynamics 365 Product Information Manag

Dynamics 365 Master Planning - Simply Explained
A customer wants 100 bicycles next month. You already have some finished bicycles in stock, wheels are arriving from a supplier, frames are stored somewhere else, and your production line is booked for the next two weeks. What should you buy, what should you build, what should you move—and when does each action need to happen? In this episode of M365 FM, Mirko Peters explains how Dynamics 365 Mast

Dynamics 365 Intelligent Order Management - Simply Explained
A customer clicks Buy, but the product could be sitting in a central warehouse, a nearby store, another legal entity, or with a fulfillment partner. The customer doesn't care about that complexity. They expect a clear delivery promise and their package to arrive. Dynamics 365 Intelligent Order Management coordinates that journey across sales channels, inventory locations, fulfillment systems, ware

Dynamics 365 Business Central Extensions - Simply Explained
Dynamics 365 Business Central already provides capabilities for finance, sales, purchasing, inventory, projects, and other core business processes. But no two organizations operate exactly the same way. A company might need specialized shipping, local financial reports, additional approval rules, bank integrations, electronic invoicing, or a connection to another business system. In this episode o

Dynamics 365 Procurement and Sourcing - Simply Explained
What happens when someone at work needs a new laptop, raw materials for production, safety equipment, consulting services, or even a cleaning contract? In many organizations, purchasing still involves emails, spreadsheets, approval messages, vendor quotes, delivery notes, and invoices spread across different systems. Dynamics 365 Procurement and Sourcing connects these activities into one controll

Dynamics 365 Accounts Receivable - Simply Explained
You made the sale and sent the invoice—but when does the money actually reach your account, and what happens when it doesn't? Dynamics 365 Accounts Receivable connects customer accounts, invoices, payment terms, incoming payments, settlement, credit management, collections, disputes, and overdue balances inside Dynamics 365 Finance. In this episode of M365 FM, Mirko Peters follows one customer bal

Dynamics 365 Warehouse Management - Simply Explained
Dynamics 365 Warehouse Management turns inventory records into guided physical work on the warehouse floor. Knowing that 200 units exist is only the beginning. Warehouse teams need to know exactly where those units are stored, whether they are available, which customer orders they belong to, and what workers should do with them next. In this episode of M365 FM, Mirko Peters explains how Dynamics 3

Dynamics 365 Transportation Management - Simply Explained
Dynamics 365 Transportation Management connects the movement of physical goods with sales orders, purchase orders, warehouse operations, carriers, routes, rates, loads, and freight costs. Instead of managing transportation through separate spreadsheets, emails, carrier rate sheets, and phone calls, organizations can create a connected transportation plan directly inside Dynamics 365 Supply Chain M
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Extending Microsoft 365 Copilot: Agents, MCP & Production-Grade AI with Yves Habersaat [MVP]
Microsoft 365 Copilot is moving far beyond prompt engineering. As organizations adopt AI more seriously, the challenge becomes connecting Copilot and AI agents to business applications, Microsoft Graph, organizational knowledge, APIs, workflows, and enterprise data while maintaining security and governance. In this episode of the M365 FM Podcast, Mirko Peters talks with Microsoft MVP and AI Tech L
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GitHub Copilot, Clean Context, Automated Testing & AI Coding Agents with Lars Gyrup Brink Nielsen [MVP]
Related M365.FM resources: For more on AI coding agents and clean repository context, see https://www.m365.fm/blog/copilot-not-responding-troubleshooting-guide-for-microsoft-users/ and https://www.m365.fm/the-monorepo-myth-why-your-architecture-is-fragmented/. For Microsoft AI agent architecture and Copilot extensibility, see https://www.m365.fm/understanding-microsoft-copilot-enterprise-architect

Dynamics 365 Asset Management - Simply Explained
Related M365.FM resources: To explore connected Dynamics 365 capabilities, see https://www.m365.fm/dynamics-365-supply-chain-management-simply-explained/, https://www.m365.fm/dynamics-365-inventory-management-simply-explained/, and https://www.m365.fm/dynamics-365-finance-simply-explained/.A conveyor stops in the middle of a shift, a forklift won't start, or a pump suddenly begins leaking. Before

Dynamics 365 Dataverse Integration - Simply Explained
Dynamics 365 Dataverse Integration is easier to understand once you stop thinking about Dynamics 365 and Dataverse as two completely separate systems that constantly need to synchronize customer data. For Dynamics 365 applications such as Sales and Customer Service, Dataverse provides the shared data foundation underneath the applications. Accounts, contacts, leads, opportunities, cases, activitie
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