This is only a small blog post but maybe for most of you very helpful especially if you work a lot with Microsoft Graphs. Often the problem is you want to run multiple calls and then you have to loop through the single items or have a long line of calls.
During writing another blog post, I found out that there is a batch endpoint for MS Graph. In this blog, I will show you how you can use it and give you also an example script.
The Azure AI search is one of the most powerful search engines at least in my experience. In times of AI and LLMs the in the past boring technology of search engine lives now a new hype. In this blog post, I’ll guide you through deploying and configuring Azure AI Search, how it can transform your data into a highly searchable, AI-enhanced resource.
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In this short blog I want to show you how you can use GPT to get a summarization of the Intune Management Log. This script will read the Intune Management Extension Log file in the ProgramData/Microsoft/IntuneManagementExtension/Logs folder and will pass this latest content of the script to GPT.
As GPT and other large language models revolutionize the way how we communicate and how we can build custom solutions for companies, the demand for intuitive frontends to deliver these AI capabilities to end-users has never been higher. If you’re wondering whether there’s a seamless way to integrate a bot into Microsoft Teams, you’re in luck! In this blog, I’ll guide you through the process of developing and deploying your own custom bot tailored for Microsoft Teams and the bot framework from Microsoft.
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You plan to migrate to Intune? Then do this Cloud Native! Use the chance and get rid of you on-premises environment, maintenance of the infrastructure and move this responsibility to Microsoft. In this blog I want to explain what cloud native is and what Intune provides you to make your journey to a success.
In the last post I explained how you can build a CoPilot using the Azure OpenAI Studio in this blog post we will do the same with the CoPilot Studio. Here we will also utilize the Azure OpenAI Service. Lets have an quick look into this topic as well:
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The simplest approach to deploying a chatbot is to do so without any coding. This is precisely what I aim to demonstrate. Such a chatbot can be tailored to utilize your custom documentation, knowledge articles, or any other resources you wish to integrate. This method simplifies the process, making it accessible even if you’re not well-versed in programming. By leveraging existing documents and knowledge bases, you can create a chatbot that is both informative and aligned with your specific needs and content.
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Remediations play a pivotal role in effective client management, allowing organizations to proactively identify and resolve end-user issues. Additionally, they serve as a valuable tool for enforcing specific settings or configurations that may not be natively supported in Microsoft Intune. However, the process of crafting these scripts can often be intricate and time-consuming.
Imagine a solution where you can simply describe your desired configurations, and a tool generates the necessary scripts for you. If you find this idea appealing and are keen to explore such a solution, this blog is tailored to meet your exact needs.
In this blog post I want to deep dive with you how LLMs and CoPilots work, want to give an explanations into the most important aspects and show you some important architecture aspects and concepts. We will not build an own Copilot but I will share also some reference architectures and a tool I created to answer your question with informations of you own Intune tenant. Let me know if I should create also an second blog post to go with you step by step through the process of implementing an own bot which use your own data and a LLM model to help you in your daily business working with Intune.
Some month ago I relesed an script which lists you all assignments of an aad group in intune. With this blog post I will release a new version of this script which includes more configuration objects and improves a lot of the code parts.
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