Artificial intelligence is no longer an experiment, it’s becoming a core part of enterprise infrastructure, operations, and security. As organizations accelerate their AI adoption, IT professionals are now at the center of deploying, governing, securing, and operationalizing AI systems across the enterprise.

In this session, you’ll get a practical, IT-focused deep dive into Enterprise AI with Azure and Microsoft Foundry. We’ll cut through the hype and focus on what IT Pros need to know to support, run, and safeguard AI in the real world. You’ll learn how to design enterprise-ready AI environments, integrate AI workloads securely into your existing infrastructure, enforce governance and compliance, and ensure observability, reliability, and cost control.

We’ll walk through the 13 Considerations for Enterprise AI, including identity, security, data protection, networking, compliance, monitoring, cost governance, model lifecycle management, MLOps, policy enforcement, operational readiness, and more. I'll show how Azure and Microsoft Foundry work across these critical domains. Expect demos, architecture guidance, and actionable patterns you can bring back to your organization immediately.

Whether your organization is building copilots, rolling out agentic AI, deploying RAG systems, or integrating AI models into business applications, this session will equip you with the knowledge to deploy AI securely, reliably, and at enterprise scale.

You will learn:

• The Enterprise AI landscape and the role IT Pros play in deploying, securing, and managing AI systems at scale
• How to plan and implement cost governance strategies for model hosting, fine-tuning, inference, and long-running agents
• How to monitor, troubleshoot, and optimize AI workloads