4 data infrastructure gaps putting your AI strategy at risk

Legacy cloud data infrastructure was built for a slower, predictable environment — one that predates AI agents, multi-hyperscaler outages, and machine-speed provisioning. As enterprises adopt AI, four gaps have emerged: fragile recovery, inaccessible data layers, costly structures undermining resilience, and governance unable to keep pace with AI-driven change.

This report, based on a survey of 583 cloud leaders, explores these gaps and solutions. Key insights include:

• Why confidence in recovery is highest where capability is weakest
• How backup data is an untapped AI asset
• Why cloud storage cost-cutting increases risk

Read the report to assess your data infrastructure readiness.