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Azure Data Architecture Guide – Blog #7: Intelligent applications

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We'll continue to delve into the Azure Data Architecture Guide with our seventh blog entry in this series. The previous entries in this blog series are:

Like the previous post, we'll work from a technology implementation seen directly in our customer engagements. The example can help lead you to the ADAG content to make the right technology choices for your business.

Intelligent applications

Quickly add intelligence to your applications with Cognitive Services, and coordinate automated interactions using Azure Bot Service. This can save you months of creating and refining sophisticated algorithms to naturally interact with your users through speech, text, vision, knowledge, and search capabilities.

Intelligent applications

Highlighted services

 

Please peruse ADAG to find a clear path for you to architect your data solution on Azure:

 

Azure CAT Guidance

"Hands-on solutions, with our heads in the Cloud!"

Comments

  • Anonymous
    December 07, 2018
    I believe the services that are introduced are very useful and useful. But the question is, can anyone really use them easily?On the use of the Internet of Things and in general, deep learning was considered at two levels of usability of services. 1. Specialists 2. PublicWe are trying to apply learning to the public.
    • Anonymous
      December 11, 2018
      Thanks Sanatino! Yes, I would go into the Microsoft Docs articles to understand how to get started with each given service.For example, for Cognitive Services, you can select your service to dig into the getting started content: https://docs.microsoft.com/en-us/azure/cognitive-services/