Scaling IT for the AI Era: What IT Leaders Need to Know

AI initiatives are increasing demand on infrastructure and operations faster than most organizations planned for. Even without training large models internally, teams are seeing higher data volumes, more experimentation, and pressure to deliver new capabilities quickly. The risk is not just performance. It is rising cost, growing complexity, and slower execution at the exact moment the business expects acceleration.

In this short webinar, Arrow and IBM break down what is changing and what IT leaders should prioritize to scale responsibly.

• Why AI and modern application demands are creating new constraints on infrastructure
• The most common blockers that slow down scale across hybrid environments
• How cost and performance become unpredictable when platforms and data services are fragmented
• What "scaling for AI" looks like from an operating model perspective, not just a capacity perspective

This session is designed for IT executives and leaders responsible for infrastructure, platforms, cloud strategy, or data services who need to support AI initiatives while maintaining reliability, security, and governance.

If your organization is being asked to move faster with AI while keeping risk controlled, this video provides a clear, executive-level view of what is driving the pressure and how to respond.

Li9 supports organizations implementing scalable platforms and operational practices that reduce complexity and accelerate delivery for modern workloads. If you want to discuss priorities, constraints, and a practical path forward, reach out through Li9.