Get to know Enterprise Scale AIFactory, a solution accelerator designed to simplify and accelerate your AI journey on Azure. This session explores how to automate the provisioning, deployment, and management of AI projects, providing a straightforward plug-and-play experience for DataOps, MLOps, and GenAIOps within a large-scale environment.

What You’ll Learn:
Comprehensive best practices: Understand how AIFactory integrates multiple Microsoft accelerators and best practices, including CAF and WAF, to deliver an end-to-end AI experience across Dev, Test, and Prod environments.

Dynamic resource management: Explore the dynamic creation of infrastructure resources, including networking and RBAC, tailored for each project team.

Template-based workflow: Learn about AIFactorys project-based approach, offering various templates for infrastructure, DataOps, and MLOps to streamline AI project management.

Enterprise scale & security: Discover how AIFactory has been battle-tested by customers and partners since 2019, providing a robust, scalable, and secure AIFactory solution.

Key takeaways:
Efficiently set up AI projects with an automated, template-driven approach.

Secure your AI infrastructure with private endpoints and advanced networking.

Scale your AI capabilities across multiple projects with ease.

Leverage proven best practices for organizational-scale AI deployment.

Join me for an in-depth look at how the Enterprise Scale AIFactory can transform your AI initiatives, driving innovation and efficiency across your organization.