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This year marks a turning point for AI adoption. The challenge is no longer proving AI's potential, but deploying it safely, reliably, and at scale in highly regulated environments. Many companies remain trapped in pilot mode due to concerns around data protection, operational risk, and the infrastructure requirements needed to support AI workloads. This episode will explore how enterprises can overcome these barriers while navigating evolving sovereignty and compliance requirements. It will also examine the compute, infrastructure, and operating models needed to support AI at scale and deliver measurable business value. Key discussion points include:

• The evolving role of AI sovereignty and data control in regulated industries
• How to prepare network infrastructure for AI and agentic AI workloads
• Balancing innovation with governance, auditability, and risk management
• Lessons from early production deployments and the business outcomes achieved