AI agents are turning data silos into an existential infrastructure problem

Enterprise AI agent adoption is accelerating but is severely hampered by legacy data silos, poor data access, lack of context, and governance issues, causing widespread delays and cancellations of AI projects. Surveys from Cloudera and Google/MIT show that overcoming these data infrastructure challenges is critical for scaling AI agent deployments and realising their ROI potential.

This Wire brief sits within Fusion42's coverage of AI Agents, Data Infrastructure and Data & Analytics.