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Category: Microsoft

Copilot Knowledge Sources – OneDrive

Copilot Knowledge Sources – OneDrive

Microsoft says adding knowledge to your Copilot is easy. You then open Copilot Studio and discover a lot of different options. But which should I choose for my data? Is uploading a file the right choice? Should I use Azure AI Search or better connecting a Dataverse table directly? Questions over question that I had as I opened Copilot Studio the first time. What is the right thing on my journey of better RAG for my Copilot Agents? In this…

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AI Foundry – Content Understanding Part 2

AI Foundry – Content Understanding Part 2

In my first blog post about AI Foundry Content Understanding, I have showed you my first impression of this new service offering. In detail, I have used a built-in template for extracting financial details of my travel expense documents. Furthermore, I added new fields to this schema to extract and generate additional information. This worked extremely good for my use case where I want to extract travel information from my passenger itineraries and invoices. This time I show you, how…

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PowerApps Automation – Run Once!

PowerApps Automation – Run Once!

Creating Model-Driven Apps (MDA) is very efficient for me. I can design forms and views for my Dataverse tables in minutes. Furthermore, adding these tables to my app takes only seconds. Plus, I can add since a while Power Fx commands to my App in the Command Bar. However, executing Power Automate flows can sometimes be tricky. That’s why I’m sharing my Automation Run Once solution today, which helps prevent Power Automate flows from running twice. Recently, I noticed that…

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AI Foundry – Content Understanding

AI Foundry – Content Understanding

Wow, what is this? AI Foundry have a new preview offering with the name Azure AI Content Understanding. Microsoft writes; Content Understanding aims to extract structured, meaningful insights from any type of unstructured data. This sounds to me like my well-known friend Azure AI Document Intelligence service. Let me check this out with a real business case that I presented at the ColorCloud conference in Hamburg. In my session “More time thanks to smart automation!” I have shown a Dataverse…

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Better RAG – Data Preparation for Copilot – Part 3

Better RAG – Data Preparation for Copilot – Part 3

Welcome back to the third part of my blog post series. Today I will cover the practical part of the data preparation for my copilot. This means, I have all gadgets in place to extract the content of my document from Part 2. But I did not add a user interface that helps me to organize my documents. In other words, I need an App to manage my documents for my Copilot knowledge in a RAG system. Here I will…

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Recap – Experts Live Germany 2025

Recap – Experts Live Germany 2025

What an amazing week. I had the opportunity to attend and speak at the Experts Live Germany conference. More than 350 experts and community members came together at the congress center at Zoo Leipzig – a fantastic location. The conference itself featured a variety of knowledge across four key tracks. These tracks were Cloud & AI, Hybrid, Workplace & Collaboration, and Identity & Security. It was a great event for professionals eager to explore the latest trends and innovations in these…

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Better RAG – Data Preparation for Copilot – Part 2

Better RAG – Data Preparation for Copilot – Part 2

In my last blog post, I explained you why data preparation for Copilot Agents is necessary. In other words, why we must improve the raw data for RAG (Retrieval Augmented Generation). Today I will delve more into the technical details of the preparation step. Let’s discover together what I can do to improve my raw PDF documents. First, I will explain to you how I extract content as Markdown from these documents with Azure AI Document Intelligence. I’m implementing this…

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Better RAG – Data Preparation for Copilot – Part 1

Better RAG – Data Preparation for Copilot – Part 1

Marketing demos show us: Take your document and put it into a Copilot Studio. As result you have a chatbot solution that answers all questions about the document. But is this really the truth? No, it isn’t. This principle works for some well-structured documents with a limited size. Moreover, when I apply the same principle to lots of documents I will fail and that frustrates my end users. Trust me, I have seen this a lot. For that reason, I…

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Enable Re-submit of Power Automate Flow

Enable Re-submit of Power Automate Flow

Hey community, were you also surprised by the error message “Flow run resubmissions are disabled for instant flows…” this week? Well, I was because suddenly I couldn’t re-submit my Power Automate flow anymore from the designer. I saw just this message: What happened? A colleague pointed me in the right direction. He told me, that Microsoft rolled out a new feature: Resubmit flow runs initiated by instant triggers, that become active. The new setting for resubmitting flow runs initiated by…

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From Azure AI Foundry to Production

From Azure AI Foundry to Production

Azure AI Foundry former known as Azure AI Studio has seen significant improvements since I first began exploring this topic. Consequently, it took some time before I could complete my fourth blog post on Application Lifecycle Management (ALM) for AI applications. Today, I want to focus on the final stage of the ALM process. This means, I’ll be explaining how you can seamlessly deploy your AI solutions, developed in Azure AI Foundry, to production. In production, my goal is to…

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