Almost every company is exploring AI these days, testing different use cases and uncovering its massive benefit. But let's face it, getting those AI projects from the experimental phase to full-blown production can feel like scaling mount Everest without a guide.

This session is your trusty Sherpa on this trip to the summit, helping you get to the real value from your projects! I'll introduce you to the open-source solution accelerator, Enterprise Scale AI Factory, and show you how it can speed up the process. Imagine having turnkey MLOps capabilities and other cool tools like AutoLake at your fingertips, all designed to give you a seamless plug-and-play experience for DataOps, MLOps, and GenAIOps in a large-scale environment.

You'll see how AI Factory combines the best of Microsoft accelerators and practices, like CAF and WAF, to create a smooth AI experience across development, testing, and production. We will look at the magic of dynamic resource management, where infrastructure resources, networking, and RBAC are tailored for each project team. Plus, you'll discover the beauty of template-based workflows that make managing AI projects a breeze.

Since 2019, AI Factory has been utilized by customers and partners, proving its robustness, scalability, and security. After this session, you'll know how to set up AI projects efficiently with an automated, template-driven approach, secure your AI infrastructure with private endpoints and advanced networking, and scale your AI capabilities effortlessly across multiple projects and environments.