As organizations explore and expand their use of AI, building a strong foundation for scalability, security, and governance becomes essential. This session introduces practical approaches to deploying and managing AI workloads on Microsoft Azure with greater efficiency and confidence.

Through expert insights, we’ll showcase how infrastructure as code and automated security practices can simplify cloud operations, reduce manual effort, and support responsible AI adoption. You’ll learn how to create consistent, repeatable environments while maintaining control over sensitive data and compliance requirements.

Whether you’re just getting started with AI on Azure or looking to optimize existing workflows, this session will provide guidance on aligning infrastructure, security, and operations to accelerate innovation.

What This Session Covers

• Key considerations for building scalable and secure AI-ready infrastructure on Azure
• How infrastructure as code can simplify provisioning and reduce operational complexity
• Approaches to enforcing consistent governance and security across environments
• Best practices for managing secrets, access, and compliance in AI workflows
• Ways to streamline cloud operations to support AI experimentation and growth