As AI becomes embedded in core business processes, enterprises are facing new challenges around scale, governance, and infrastructure readiness. Many organizations are discovering that operationalizing AI requires more than powerful models and data. It also requires the right infrastructure, platforms, and organizational alignment to support AI reliably across the enterprise.
As AI becomes embedded in core business processes, enterprises are facing new challenges around scale, governance, and infrastructure readiness. Many organizations are discovering that operationalizing AI requires more than powerful models and data. It also requires the right infrastructure, platforms, and organizational alignment to support AI reliably across the enterprise.
AI agents are quickly becoming a new class of enterprise identity. They write code, execute workflows, access data, and interact with systems across cloud and SaaS environments, often autonomously.
As enterprises accelerate AI adoption, traditional virtualization models are being pushed to their limits by rising costs, growing data demands, and the need for greater flexibility across hybrid environments. This peer-to-peer lunch brings infrastructure, IT, and cloud leaders together to discuss how virtualization is evolving into a cloud-like operating model that supports AI workloads, modern applications, and future growth.
Most enterprises now have dozens of AI initiatives but few have a repeatable way to move from pilot to production at scale. As AI becomes embedded in core business processes, leading organizations are shifting from project-based experimentation to a standardized enterprise AI factory operating model. This peer discussion explores how large enterprises are designing AI factories that balance speed, governance, and reliability—using shared infrastructure, validated architectures, and clear operating models to deliver AI outcomes consistently across the organization.
Most enterprises now have dozens of AI initiatives but few have a repeatable way to move from pilot to production at scale. As AI becomes embedded in core business processes, leading organizations are shifting from project-based experimentation to a standardized enterprise AI factory operating model.
