Setting Individual File Permissions for Documents Used in Microsoft Teams - HLS Show Me How
In the HLS Show Me How video I show two separate methods of providing restricted access to documents within Microsoft Teams. In the first example (which is technically possible, but I do NOT recommend) I show how to break inheritance and apply custom permissions in place on documents within the default storage for a Channel’s documents. In the second example (which I DO recommend) I show setting up a distinct library instance and then either rendering a view to it within the default Channel Files view or as a new Tab.Introducing the Medical Imaging Server for DICOM
Today Microsoft is releasing the Medical Imaging Server for DICOM, new Open Source Software (OSS) that enables developers with a powerful tool to migrate medical imaging data to the cloud and integrate imaging metadata with clinical data in FHIR using DICOM Cast technology.Azure OpenAI GPT model to review Pull Requests for Azure DevOps
In recent months, the use of Generative Pre-trained Transformer (GPT) models for natural language processing (NLP) has gained significant traction. GPT models, which are based on the Transformer architecture, can generate text from arbitrary sources of input data and can be trained to identify errors and detect anomalies in text. As such, GPT models are increasingly being used for a variety of applications, ranging from natural language understanding to text summarization and question-answering. In the software development world, developers use pull requests to submit proposed changes to a codebase. However, reviews by other developers can sometimes take a long time and not accurate, and in some cases, these reviews can introduce new bugs and issues. In order to reduce this risk, During my research I found the integration of GPT models is possible and we can add Azure OpenAI service as pull request reviewers for Azure Pipelines service. The GPT models are trained on developer codebases and are able to detect potential coding issues such as typos, syntax errors, style inconsistencies and code smells. In addition, they can also assess code structure and suggest improvements to the overall code quality. Once the GPT models have been trained, they can be integrated into the Azure Pipelines service so that they can automatically review pull requests and provide feedback. This helps to reduce the time taken for code reviews, as well as reduce the likelihood of introducing bugs and issues.Document Acknowledgement and Attestation with Microsoft’s PowerPlatform - Step by Step
Leveraging Microsoft’s PowerPlatform and Office 365 we can securely store policy related documents, use Flow to automate document acknowledgement and attestation, use PowerApps to provide a mobile friendly app to review and accept policy documents, and finally we can build beautiful dashboards to visualize that status of a given document acceptance process.Setup Azure DevOps Self Hosted Agent On-Premise & Troubleshooting Guidelines
Azure DevOps supports the deployment of the builds from release pipelines to the on-premise environments using self-hosted pipeline agents. This article describes creating an Azure DevOps self-hosted agent in an on-premise Windows machine and some standard troubleshooting steps in case any issue.
