Working with the Microsoft Graph REST APIs

Microsoft Graph exposes Cloud services data, such as Outlook mail, calendar, One Drive, tasks, groups, SharePoint, and so forth. Cloud data could be accessed from a JavaScript client application. A developer needs to set up your Office 365 development environment before accessing Cloud services.

To extract data, follow these steps:

Register the application.
Get an access token for authentication.
Access the Microsoft services data over the Graph API.

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Reading Text from Images Using C#

By using Optical Character Recognition (OCR), you can detect and extract handwritten and printed text present in an image. The API works with different surfaces and backgrounds. To use OCR as a service, you have to get a subscription key from the Microsoft Cognitive Service portal. Steps of registration and obtaining the API keys are mentioned in my previous article, "Analyzing Image Content Programmatically: Using the Microsoft Cognitive Vision API."

In this post, I will demonstrate handwriting and text recognition by uploading a locally stored image consuming the Cognitive API.

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What Is Microsoft Graph?

Microsoft Graph is a developers' API platform to connect to the data that drives productivity. It's built on top of Office 365 and allows developers to integrate their services with Azure AD, Excel, Intune, Outlook, One Drive, OneNote, SharePoint, Planner, and other Microsoft products. You can build smarter productivity apps by using Microsoft Graph. Microsoft Graph gives you a single REST API endpoint to interact with Office 365 products. It delegates calls to different Office 365 Cloud services via one single endpoint: https://graph.microsoft.com. You can use the Microsoft Graph API to interact with the data of millions of users present in Microsoft Cloud.

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Using Microsoft Cognitive Services to Add Facial Recognition to Your Apps

In my first article of the Cognitive Face API series, "Adding Facial Recognition to Your Apps," I explained the process of face detection, features, subscription steps, and API service calls. In this tutorial on the Face API, I will create a Universal Windows Platform (UWP) app consuming the Microsoft Azure Cognitive Services API to demonstrate some of the characteristics of face recognition.

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Adding Facial Recognition to Your Apps

The Microsoft Cognitive Services Face API is a Cloud-based service with the most advanced machine learning algorithms. It offers detection of faces in images with attributes, extract features such as gender and age, organize images into groups, and identify individuals. The Ace API can detect up to 64 faces with high precision face location in an image. You have to specify image by bytes or a valid image URL. Cognitive Services even has an API for detecting individuals' emotions based on their facial expressions. Microsoft is currently offering a free plan with limited calls of 30,000 transactions per month. To calculate pricing above the mentioned number of free transaction, please visit URL given.

Read my article for details..http://www.codeguru.com/csharp/azure/analyzing-image-content-programmatically-using-the-microsoft-cognitive-vision-api.html 

Analyzing Image Content Programmatically: Using the Microsoft Cognitive Vision API

Microsoft Cognitive Computer Vision APIs are Azure, Cloud-based, powerful REST services. These APIs provide developers access to advanced machine learning algorithms for processing images and returning back the image analysis in a JSON-structured format. Cognitive Vision APIs help developers to build powerful intelligence into the applications to enable natural and contextual interactions. Computer Vision APIs could be used for information such as image description, recognizing celebrities, reading text from images, and generating thumbnails. The Computer Vision API can tag images according to their content. Read my article for details..

http://www.codeguru.com/csharp/azure/analyzing-image-content-programmatically-using-the-microsoft-cognitive-vision-api.html 

ArchiMate, BPMN and UML - Which one to use for EA

https://eavoices.com/2011/01/27/archimate-bpmn-and-uml-together/

https://blogs.msdn.microsoft.com/nickmalik/2009/04/17/will-there-be-a-battle-between-archimate-and-the-uml/