The accelerating adoption of AI at the enterprise level is redefining expectations for infrastructure modernization. Leaders tasked with moving AI from pilot projects into full-scale production face unprecedented demands on cloud, on-prem, and edge systems. This session is essential for anyone seeking to future-proof their enterprise for distributed, agentic AI systems at scale.

The session will cover:

• Strategic challenges of scaling AI from pilot to production across hybrid and multi-cloud environments
• The infrastructure modernization imperative driven by agent-based AI architectures—spanning cloud, datacenter, and edge nodes
• Frameworks and actionable approaches for CIOs and technology executives to assess, plan, and modernize infrastructure for distributed AI workloads

Attendees will leave the session with:

• An understanding of why the distributed nature of agentic AI workloads means legacy infrastructure is now a critical transformation risk
• Learn strategies and models for evaluating and upgrading infrastructure readiness for AI at enterprise scale
• Gain actionable insights on architecting automated, resilient, secure, and cost-efficient environments for next-generation AI agents—across cloud, on-prem, and edge