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news and know-how about microsoft, technology, cloud and more.

Hidden feature: Request Files in SharePoint Online and OneDrive

Monday, April 17, 2023 8:00 AM Martina Grom
Sharing functionalities in Microsoft 365 and SharePoint Online improve collaboration and file exchange. SharePoint Online has become an invaluable tool for businesses of all sizes. One of the most recent additions to the platform is the new File Request feature, which allows users to easily request files from other users. In this blog post, we'll discuss how to configure the new File Request feature in SharePoint Online and OneDrive, and provide some helpful links to references for further reading. This feature is a great way to streamline the process of collecting files from outside sources, and it’s easy to configure in SharePoint Online.
AI | English | Microsoft365 | SharePoint | Cloud | Compliance
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Welcome, Microsoft 365 Copilot

Thursday, March 16, 2023 6:00 PM Toni Pohl
Today Microsoft announced Microsoft 365 Copilot at a LinkedIn Live event. Microsoft describes the service as an "AI-powered tool that boosts productivity and creativity in the Microsoft 365 world". Microsoft 365 Copilot integrates with popular Microsoft apps like Word, Excel, PowerPoint, Outlook, and Teams, but also with Power Apps, Power Automate and the Microsoft Graph API. The new business chat feature streamlines work across data and apps in Microsoft Teams. See some first impressions and features here.
AI | Microsoft | Microsoft365 | Office365 | Tools | Office | English
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Interested in the JFK files? Explore them with Microsoft AI!

Tuesday, April 2, 2019 11:00 PM Martina Grom
Microsoft's AI allows to analyze large amount of data, even interpreting and indexing handwritten documents and learning key topics. In the Microsoft AI.Lab, engineers combined Azure Search and Cognitive Services to analyze more than 34,000 pages and scanned evidence photos related to the assassination of US president John F. Kennedy in 1963 that went public. Read more about burning questions and see the results online.
AI | Cloud | Blog | Cognitive Services | English | Microsoft | Microsoft Research
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Detect sentiment with Text Analytics

Monday, February 25, 2019 8:00 AM Toni Pohl
Azure Cognitive Services offer a bunch of services. One is the Sentiment Analysis API that allows to analyze unstructured text for tasks such as sentiment analysis based on Microsoft machine learning algorithms. See the first steps how to use that here.The test works in the same way with Postman as in the previous article.The goal here is to analyze some text to get a positive or negative result of the meaning.So, we just need some Azure logic and a tool to send and get the data. How to detect sentiment with Text Analytics informs about the service we want to consume. Again, we need to create a new Cognitive Service and to get our own access data from the Azure Portal. Once created, we get that data in the service overview and in the keys menu.Then, calling the Computer Vision API is easy: We need a HTTP POST request against the API and modify just the region and the subscription key.https://<region>.api.cognitive.microsoft.com/analytics/v2.0/sentiment?subscription-key=<subscription-key>So, my sample starts with https://westeurope.api.cognitive.microsoft.com/analytics/v2.0/sentiment...In Postman, we just create a new POST request with that URL and some parameters as here:As Headers we add a key "Content-Type" with value "application/json" and the body text that shall be uploaded with that post.As defined, the data we want to submit can be formatted JSON type, as here. First, there's a positive, then there's a negative text, in english language.{         "documents": [             {                 "language": "en",                 "id": "1",                 "text": "We love this trail and make the trip every year. The views are breathtaking and well worth the hike!"             },             {                 "language": "en",                 "id": "2",                 "text": "Poorly marked trails! I thought we were goners. Worst hike ever."             }         ] }See Language and region support for the Text Analytics API for more info.When clicking on the "Send" button, the request should be sent to the API. After some seconds of analyzing, the result will be shown as body, similar as here. Here's the output in JSON format.{     "documents": [         {             "id": "1",             "score": 0.92014169692993164         },         {             "id": "2",             "score": 0.05087512731552124         }     ],     "errors": [] } The return data says, that the first text with id 1 is positive (92%), the second text with id 2 is very negative (5%). A neutral value would be 0.5 (50%). Happy analyzing your text with the Sentiment Analysis API!
AI | Azure | Cloud | Cognitive Services | Developer | English | Microsoft | Tools
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First steps with the Microsoft Vision API

Monday, February 25, 2019 7:00 AM Toni Pohl
Cloud services help to automate simple and complex processes. For analyzing a picture, the Microsoft Cognitive Services offer a bunch of services like the Vision API, (Custom) Computer Vision, Face API, Video Indexer an more. Follow this first sample with Postman to start with the Vision API.
Azure | AI | Cognitive Services | Cloud | Developer | English | Microsoft | Tools
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