In one of my last blog posts I introduced my new friend AI Foundry Content Understanding to you. Here I have explained in detail how you can set up Microsoft’s new AI service offering for your documents. Furthermore, I showed you how I deployed my document analyzer in Azure. As result of this exercise, I got an endpoint that I can now use in one of my use cases. In other words, now I can start working with my custom…
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…
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…
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…
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…
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…
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…
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…
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…
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…