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​ In this episode of the #AzureEnablementShow, Thomas and Freddy discuss the common challenges and best practices for deploying generative AI applications using Open AI and Azure services. Freddy demonstrates how to use the Microsoft Well-Architected framework, the Cloud Adoption Framework for Azure, and the Azure landing zones to build secure, scalable, and compliant generative AI applications using Open AI. He also shares an example of how a hospital used these tools to streamline patient triage with Azure document intelligence and Open AI language models.

Resources
• Blog: Azure OpenAI Landing Zone reference architecture https://techcommunity.microsoft.com/t5/azure-architecture-blog/azure-openai-landing-zone-reference-architecture/ba-p/3882102
• Azure Verified Modules https://azure.github.io/Azure-Verified-Modules/
• Azure Well-Architected Framework learn.microsoft.com/azure/well-architected
• Microsoft Cloud Adoption Framework for Azure https://learn.microsoft.com/azure/cloud-adoption-framework/
• Azure Architecture Center https://learn.microsoft.com/azure/architecture/
• Microsoft Community Hub https://techcommunity.microsoft.com/
• Explore more cloud enablement resources! https://www.azure.com/enablement

Related episodes
• Integrating OpenAI into your Azure Landing Zone https://aka.ms/azenable/145
• To watch more episodes in the Well-Architected Series, check out our playlist: https://aka.ms/azenable/yt/wa-playlist
• To watch more episodes in the Cloud Adoption Framework series, check out our playlist: https://aka.ms/azenable/yt/adopt-playlist

Chapters
0:00 Introduction
1:40 Common challenges
3:07 Strategies
3:40 WAF and CAF
4:00 Azure landing zones
4:11 Guidance details
6:00 Hospital challenge
7:35 Hospital implementation
9:00 Setting up defaults
10:18 Important resources   Read More Microsoft Developer