his video walks you through the complete end-to-end flow on how one can generate thumbnail from an image using Azure Cognitive Services - Computer Vision API and Azure Function App. Workflow starts by uploading an image into a Azure Storage and then passing it to Computer Vision API for thumbnail generation using Function App. On technology front, it uses Azure Computer Vision API, Azure Blob Container and Azure Function App.

This video walks you through the complete end-to-end flow on how one can generate thumbnail from an image using Azure Cognitive Services - Computer Vision API. Workflow starts by adding an image into a Azure Storage, passing it to Computer Vision and storing the generated thumbnail back to Azure Storage and all this is achieved without writing even a single line of code. On technology front, it uses Azure Computer Vision API, Azure Blob Container and Logic Apps.

This video talks about an end-to-end flow, wherein an email content having specific subject line will be read, email body would be analyzed using Azure Cognitive Services (Sentiment analysis), analysis results would be saved in Azure Table Storage and finally chart would be drawn in Excel. All these steps include no coding at all.

This video provides an overview of opinion mining and how is it related to sentiment analysis. It briefs and helps viewer understand the concept behind opinion mining using multiple examples. It also includes a demonstration of sample application developed in C#.

This video explains the basics of NER (Named Entity Recognition) - PII (Personal Identifiable Information) and how it can be used to redact the sensitive/confidential information before passing it to next stage. It also includes code walk through and the Azure Text Analytics instance creation.

This article demonstrates the document translation process from one language to another using Azure Translator Service. It includes creation of Azure translator instance and uses Azure blob container for saving the documents. Entire flow is coded in C#.

This article talks about, how to read and analyze customer provided product review to get market insight. It includes complete code and chart drawn in Python.

This article walks you through the steps required to create a custom ML model, train it and then use the same model to analyze the sales receipt.

This article talks about the various ways of information extraction from sales receipt and provides the detailed demonstration of how to use pre-built ML models.

This article talks about how to extract text from an image(handwritten or printed) using Azure Cognitive Services. It includes the introduction of OCR and Read API, with an explanation of when to use what. Attached video also includes code walkthrough and a small demo explaining both the APIs.

Cognitive services bring AI within the reach of every developer. They don’t require machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand and accelerate decision-making in our apps.

In this blog, we will learn Azure Content Moderator API using Cognitive Services. Azure Content moderator enhances your ability to detect potentially offensive or unwanted images through machine-learning based classifiers, custom blacklists and optical character recognition (OCR).

Ever thought of building a chatbot for an enterprise, that will provide 24/7 support to users, by answering their queries as well as raising requests to Service Now on behalf of the user? Here is the step-by-step solution.

Two presentation at Saskatoon, Saskatchewan, Canada 1 - IoT Device Translator (Presented by Nik- Shahriar Nikkhah) 2 - Azure Security Best Practices (Presented by Deepak Kaushik)

Recently, the Azure team unveiled the latest version of Web chat i.e. 4.2, which now supports the new Cognitive Services.

Microsoft has made four customizable Microsoft Cognitive Services available for businesses to develop artificial intelligence.

Microsoft adds Artificial Intelligence to its MVP awards category.