How to Build Custom Document Intelligence Models | Azure AI Document Intelligence Studio

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  • čas přidán 11. 01. 2024
  • In this video, we'll take you through the process of creating your very own custom AI models for document processing and analysis.
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    👉 Try DeskConnect free for 30 days: www.fabsoft.com/sales/deskcon...
    Whether you're an AI enthusiast, a developer, or a business professional, this tutorial will provide you with the knowledge and tools to harness the power of Azure AI for automating document processing tasks, enhancing data extraction accuracy, and improving document management efficiency.
    #AzureAI #DocumentIntelligence #CustomAIModels #DocumentProcessing #MachineLearning #dataextraction

Komentáře • 4

  • @Document-AI
    @Document-AI  Před 2 měsíci

    If you want to see how our product can enhance your documents, please click this link to try it for free or schedule a demo: www.fabsoft.com/sales/deskconnect-sales-idc-page/?Build%20Custom%20Document%20Intelligence%20Models

  • @Kungpuk
    @Kungpuk Před 4 měsíci +1

    Hey mate, love these videos! You deserve a lot of cred! I've been trying to figure out if I can create a good human in the loop step for this in Power Apps. When the layouts differ, and the document the model won't hit 100% accuracy - I want to create an app where all steps around the document extraction will be located. (it's meant to be built for a client).

    • @Document-AI
      @Document-AI  Před 2 měsíci +1

      Hey, Thanks for the kind words! Our DeskConnect Software sounds like it may be the perfect solution for putting a human in the loop using Heads-up Indexing - check this video out that showcases our Heads-Up Indexing Feature, which allows users to manually correct any inaccurate data before sending to the output location: czcams.com/video/hucUbtweURc/video.html
      Please let us know if that's what you're looking for, or feel free to contact us at: www.fabsoft.com/contact-us/

    • @Document-AI
      @Document-AI  Před 2 měsíci

      Also, check out this video that shows the power of machine learning, working with users to improve image recognition with humans in the loop: czcams.com/video/_LOsbxG6wrQ/video.html