Kiosk Mode
Hi, We are running Edge in Kiosk mode and I am trying to find information how to configure it for our specific requirements in an Enterprise environment. Requirements: URLAllowlist: "domainA.com", "domainB.com" URLBlocklist: "*" User must be able to access downloads from Edge User must be able to right click to save an image for example from a website User must be able to print Edge configuration: msedge.exe --kiosk https://domainA.com --edge-kiosk-type=public-browsing Is this specific configuration even possible with the latest version? I am running: Version 148.0.3967.83 (Official build) (64-bit)
OWA spell checks part of the word
Something strange happened as I was typing an email today. I misspelled "specific" so I quickly fixed it using the spell checker. Then, it underlined the "cifi" part of the word "specific" suggesting spelling corrections as seen in the screenshot. There is no space in the word so I don't know why it focused on the part of the word (maybe because of the previous correction?). Do you know if this is an Outlook bug or an Edge bug? Not sure which spell checker is acting in OWA honestly.Next Update for Edge not compatible with my mac
Hi, so I'm so sorry if this isn't the right place or if I'm doing this wrong, but I'm kind of freaking out. So I use Edge on an older mac that cannot be updated as mac no longer supports updates for it. I was previously using Edge Dev and after an update got a message saying that the next update won't be compatible with my mac and I tried not to update but at some point Edge Dev restarted and thus updated and then it wouldn't open on my mac, so I switched back to regular Edge. After the last update on regular Edge, I got the same pop up saying that the next update won't be compatible with my mac and now I'm terrified that when that update comes out at some point Edge will restart and update and then I will lose my ability to use Edge. I love Edge as a browser and have so much stored in it. I have exported my passwords just in case, but am still super scared that I'll lose all the work I've put into Edge and that I'll just lose Edge as it's such a superior browser that I've come to rely on. Does anyone have any suggestions on what I should do? I can't afford to get a new computer right now and as I mentioned my Mac doesn't support updates. Any help would be unbelievably appreciated. Thanks in advance.
Export tool for Edge Collections before deprecation
Microsoft is deprecating the 'Collections' feature in Edge, but there is currently no export option available for personal Microsoft accounts. This creates a serious problem for users who rely heavily on Collections for research, organization, and long‑term workflows. In my case, I have 166 main Collections, each containing dozens of items. Migrating this manually is simply impossible/undoable. ‼️ Please Microsoft: provide an official export tool (HTML, JSON, or migration to Favorites/Bing Saves) before removing the feature. Without this, users risk losing years of structured work and saved content. This is essential for anyone who has used Collections as a core part of their workflow.PWA shortcuts don't keep asociated with window - Linux
I recently upgraded to version140.0.3485.14 (Official build) beta (64-bit) and noticed that my PWA, even if they open correctly in a independent window, don't show the "running window counter" on the taskbar. So, for example, if a open Outlook, the window open and loads the app, but if a I click the icon again, it opens another window, wich is a little annoying. I tried removing the PWA from Edge, rebooting, and installing again, but didn't work. Because the only change I made is updating Edge, I think is related to this build. (too lazy to go back or install the stable release)Resource Guide: Making Physical AI Practical for Real‑World Industrial Operations
Microsoft’s adaptive cloud approach enables organizations to turn operational technology (OT) data into intelligent actions, autonomously, without requiring everything to live in the cloud by unifying cloud-to-edge management plane, data plane, and intelligence platform. At the center of this approach are key foundational technologies: Key Purpose Offering Direct-to-cloud device management + telemetry ingestion Azure IoT Hub Industrial connectivity + edge data plane Azure IoT Operations Unified analytics + real-time intelligence Microsoft Fabric On-device AI inferencing runtime Foundry Local Microsoft Azure IoT Gartner winner: Microsoft named a Leader in the 2025 Gartner® Magic Quadrant™ for Global Industrial IoT Platforms See it all come together Before diving into each component, watch this end-to-end demo showing how Azure IoT Operations, Azure IoT Hub, Microsoft Fabric, and Foundry Local work as one stack across the edge-to-cloud lifecycle - Making industrial AI practical for real-world operations with adaptive cloud. How these components work together Azure IoT Operations and Azure IoT Hub collect real-time data from operational assets and send semantically-ready, modeled data to Microsoft Fabric, where it's contextualized with enterprise data for downstream analytics. Microsoft Foundry extends to the edge through Foundry Local, so the same tooling used to deploy and manage AI models in the cloud applies to edge use cases. All of it integrates into Azure Resource Manager, bringing OT devices, assets, and edge AI models into the same management and security paradigm as every other Azure-managed resource. This blog walks through where to get started with each product capability: 1. Manage Cloud-Connected Devices and Telemetry with Azure IoT Hub Azure IoT Hub is a fully managed cloud service that enables secure bidirectional communication, device-to-cloud telemetry ingestion, cloud-to-device command execution, per-device authentication, remote management and more. Telemetry from IoT Hub can also be routed downstream into analytics platforms like Microsoft Fabric for visualization or AI modeling. Recommended Usage: Devices that utilize IoT Hub are distributed, stand-alone devices with fixed-functions. These devices typically do not require cloud-managed containerized workloads or cloud-managed proximal industrial protocol connectivity. Examples of appropriate device-to-cloud IoT Hub endpoint devices include water monitoring stations, vehicle telematics, distributed fluid level sensors, etc. Resources Current in-market services overview: IoT Hub: What is Azure IoT Hub? - Azure IoT Hub DPS: Overview of Azure IoT Hub Device Provisioning Service - Azure IoT Hub Device Provisioning Service ADU: Introduction to Device Update for Azure IoT Hub Building scalable solutions with Azure IoT platform: Best practices for large-scale IoT deployments - Azure IoT Hub Device Provisioning Service Scale Out an Azure IoT Hub-based Solution to Support Millions of Devices - Azure Architecture Center Azure IoT Hub scaling Try out our preview of new IoT Hub capabilities (integration with Azure Device Registry and Certificate Management) Learn more about these capabilities on our blog post: Azure IoT Hub + Azure Device Registry (Preview Refresh): Device Trust and Management at Fleet Scale… Integration with Azure Device Registry (preview): Integration with Azure Device Registry (preview) - Azure IoT Hub Microsoft-backed X.509 certificate management (preview): What is Microsoft-backed X.509 Certificate Management (Preview)? - Azure IoT Hub How to start with the preview: Deploy IoT Hub with ADR integration and certificate management (Preview) - Azure IoT Hub 2. Connect Industrial Assets with Azure IoT Operations Azure IoT Operations provides a unified data plane for the edge that runs on Azure Arc–enabled Kubernetes clusters and supports open industrial standards. It allows organizations to connect and capture equipment telemetry, normalize OT data locally, route hot-path signals to real-time analytics, securely manage layered industrial networks, and more. Edge‑processed data can then be sent upstream to Microsoft Fabric for AI‑driven analysis. Recommended Usage: Azure IoT Operations is intended to be the data plane for an adaptive cloud deployment extending the management, data, and AI capabilities of the Microsoft cloud to an on-prem device. This device binds to these cloud planes providing a platform for local data processing and intermittent connectivity. The target for these devices range from a small-gateway-style PC to a full data center. Azure IoT Operations endpoints enable cloud-managed containerized workloads and cloud-managed proximal industrial protocol connectivity. Examples of appropriate adaptive cloud and Azure IoT Operations endpoints include, on-robot computers, industrial machine controllers, retail store sensor/vision processing, and top-of-factory site infrastructure for line of business applications. Resources Azure IoT Operations Overview Azure IoT Operations Documentation Hub Quickstart: explore-iot-operations/quickstart at main · Azure-Samples/explore-iot-operations Open-source framework for scaling robotics from simulation to production on Azure + NVIDIA: microsoft/physical-ai-toolchain Demo video showcasing How we built the demo: explore-iot-operations/quickstart at main · Azure-Samples/explore-iot-operations Edge-AI: microsoft/edge-ai: Production-ready Infrastructure as Code, applications, pluggable components, and… Latest Announcements & Blogs Making Physical AI Practical for Real-World Industrial Operations: Part 1 | Microsoft Community Hub Making Physical AI Practical for Real-World Industrial Operations: Part 2 | Microsoft Community Hub Unlock Industrial Intelligence | Microsoft Hannover Messe 2026 From pilots to production: How Microsoft and partners are accelerating intelligent operations 3. Advanced Analytics with Microsoft Fabric Microsoft Fabric delivers a unified, end‑to‑end analytics platform that transforms streaming OT telemetry into real‑time insights and live dashboards. Fabric Operations Agents monitor industrial signals to recommend targeted actions, while Fabric IQ provides a shared semantic foundation that enables AI agents to reason over enterprise data with business context. Together, Fabric turns live industrial data into AI‑powered operational intelligence. Resources Get Started with Microsoft Fabric Learning Path Fabric Real-Time Intelligence documentation - Microsoft Fabric | Microsoft Learn Create and Configure Operations Agents - Microsoft Fabric | Microsoft Learn Fabric IQ documentation - Microsoft Fabric | Microsoft Learn 4.Run AI Models On‑Device with Foundry Local Foundry Local extends on‑device AI to Arc‑enabled Kubernetes edge clusters, providing a Microsoft‑validated inferencing layer for running AI models in industrial, disconnected or sovereign environments. Resources Foundry Local on Azure Local Documentation Participate in Foundry Local on Azure Local preview form Foundry Local on Azure Local: HELM deployment Demo Customer Stories Chevron: Chevron plans facilities of the future with Azure IoT Operations Husqvarna: Husqvarna Group Boosts Operational Efficiency with Azure Adaptive Cloud Ecopetrol: Azure IoT Operations and Azure IoT for energy help Ecopetrol optimize energy distribution while lowering operational costs P&G: Procter & Gamble cuts model deployment time up to 90% with Azure IoT Operations Toyota: Toyota Industries innovates its paint shop processes with Azure industrial AI and Azure IoT Hub
