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In this episode of the #AzureEssentialsShow, hosted by Thomas Maurer and featuring Clayton Siemens, we’re focused on how the Azure Well Architected Framework (WAF) applies to building AI workloads. By watching, you will learn:
• the five key pillars of the WAF—reliability, security, cost optimization, operational excellence, and performance efficiency—and how they relate specifically to AI;
• practical design principles for AI workloads, such as designing with an experimental mindset, ensuring ethical and explainable AI, and staying ahead of model decay; and
• actionable steps and tools, including assessment resources and guidance on leveraging Azure SaaS and PaaS offerings, to help ensure your AI solutions are secure, responsible, and adaptable.
Resources
• Azure Well-Architected Framework https://aka.ms/WAF
• AI workloads on Azure https://aka.ms/AzEssentials/207/01
• Azure Well-Architected Review https://aka.ms/AzEssentials/207/02
• What is Azure AI Foundry? https://aka.ms/AzEssentials/207/03
• Explore essential resources! https://azure.com/AzureEssentials
Related episodes
• What’s New in the Well-Architected Framework https://aka.ms/azenable/143
• AI Adoption with the Microsoft Cloud Adoption Framework for Azure https://aka.ms/AzEssentials/196
• Watch the Azure Essentials Show https://aka.ms/AzureEssentialsShow
Chapters
0:00 In this episode
0:24 Introduction to Azure Essentials Show and Hosts
0:55 Overview of WAF
1:45 Application of WAF to AI Workloads
2:16 Unique Challenges in AI Workload Design
2:45 Security and Data Protection in AI
3:08 Key Design Principles for AI Workloads
4:35 Practical Implementation Steps and Assessment Tools
5:56 Resources and Getting Started with WAF for AI
6:49 Where to Learn More
Connect
• Thomas Maurer https://www.linkedin.com/in/thomasmaurer2
• Clayton Siemens https://www.linkedin.com/in/clayton-siemens-3514896 Read More Microsoft Developer
