For many enterprises, the conversation has moved on from whether to adopt AI to where it should actually run. Should workloads stay in the cloud, move into colocation, or remain on-premises with investment in existing facilities For organizations in highly regulated sectors like financial services, the answer isn't always straightforward. Cost, compliance, performance and long-term flexibility all play a role, making infrastructure strategy just as important as AI strategy itself. Join this discussion to explore:

• How enterprise organizations are approaching AI infrastructure investment today
• When retrofitting existing facilities makes more sense than building new or moving to the Cloud
• How security, compliance and data sovereignty are shaping deployment decisions
• Why balancing AI experimentation today with long-term infrastructure planning is critical