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Recap – Experts Live Germany 2025

Recap – Experts Live Germany 2025

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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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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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Using Images in Prompt flow – Troubleshooting

Using Images in Prompt flow – Troubleshooting

Working with Azure Open AI models that integrate text and images is cool. Correctly, I’m talking about GPT-4o and GPT-4o-mini. It is amazing to see the results of adding visual content to LLM prompts. Furthermore, it’s so easy with Prompty to define and review these prompts. But there is sometimes the devil in the detail, when when it comes to integration. Yes, I’m talking about using images in Prompt flow from generated Python code. Today I will take you on…

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Using Document Intelligence from Power Automate

Using Document Intelligence from Power Automate

Usually, when we talk nowadays about AI, we mean ChatGPT or large language models (LLMs). However, there are other Azure AI Services that are extremely important for the business world. One of these services is Azure AI Document Intelligence which I can use to extract information from my digital documents. But can I use Document Intelligence directly from Power Automate? Yes, I can, and I will explain to you how I use Azure AI Document Intelligence directly from Power Automate…

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Power Automate – Sending Overdue Notifications

Power Automate – Sending Overdue Notifications

Recently a colleague reached out to me and asked me: “Hey Michael, how can I automate sending of overdue notifications for missed training? ” I answered: “You can achieve this using Power Automate!” Upon further examination of the use case, I discovered that my colleague exports information from an internal training system into excel and stores the file in OneDrive. A closer look to the workflow showed me this: My colleague manual task is this: Let’s start! Demo Data First,…

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Enable Tracing in Prompt flow

Enable Tracing in Prompt flow

Working with Generative AI is cool. As a user, you mostly see the chatbot as frontend of an AI application with amazing results produced by Large Language Models (LLMs). However, as a developer, I need more insights during the development phase. Specifically, I want to know what information is being passed to my LLM. That’s why I usually enable tracing for my AI applications, but how can I do this in Prompt flow? That is not so difficult. So let…

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Deploy your Prompty as Docker Container

Deploy your Prompty as Docker Container

In my last blog post, I started using Prompty for VS Code, and it was an amazing experience. I realized how easily I can define and write my prompts in a single Prompty file. This solves one of the basic problems I encounter when starting to create a new AI solution. However, there is another challenge: How do I deploy my Prompty – maybe within a Docker container? Yes, for sure, this is possible. Moreover, this is a good practice…

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Prompty for VS Code!

Prompty for VS Code!

I love developing and prototyping AI solutions. For that reason, I’m always looking for new tools that help me streamline this process. What should I say? I have found a new friend in VS Code. Yes, I recently discovered Prompty – a new extension for VS Code developed by Microsoft. But what is the difference of Prompty to other extensions such as Prompt flow for VS Code? The answer is simple. Prompty standardizes how I can specify, develop, run, and…

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