Documents contain invaluable information powering core business processes. Extracting information from these documents with minimum manual intervention helps bolster organizational efficiency and productivity. As more and more processes and workflows get automated, the need for new features to help extract text and structures increases.
The new capabilities in Form Recognizer which were announced at Ignite support pre-built IDs, invoices and 73 new languages.

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Form Recognizer is a Cognitive Service that lets you identify and extract text, key/value pairs, and table data from documents. With Form Recognizer you can train custom models to extract structured data from your forms and documents.

Learn about the latest updates in Azure Form Recognizer, including the Form Recognizer v2.1 Preview.

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Microsoft has teams distributed across the world that are helping our customers solve problems that are very unique to their business and their communities.

Here’s an interesting conversation from the Caribbean Developer Conference.

While we were in the Dominican Republic, we sat down with Cloud Solution Architect Mabel Gerónimo from the local Microsoft office to talk about how they’re combining tools like Bot Framework, Power BI, and cognitive services to solve interesting business problems in the country.

Time Index:

  • [01:13] – The value of Bot framework
  • [02:03] – Power BI Desktop
  • [03:10] – Using QnA maker to interact with bots
  • [04:52] – Triggering the bot

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Isaac Levin joins Scott Hanselman to talk about building highly scalable applications and having fun with the Rock, Paper, Scissors, Lizard, Spock sample application.

Rock, Paper, Scissors, Lizard, Spock is a multi-language application built with Visual Studio and Visual Studio Code, deployed with GitHub Actions and running on Azure Kubernetes Service (AKS).

It also uses Machine Learning and Azure Cognitive Services (Custom Vision API). Languages used in this application include .NET, Node.js, Python, Java, and PHP.     

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