Data silos and legacy systems remain a major barrier to building AI architectures that fully leverage public and structured data for societal projects.

Fragmented data across on-premises and cloud platforms hinders the creation of a unified data foundation. Without consolidating or linking these silos, AI models cannot access comprehensive datasets needed for accurate and context-rich analysis, limiting their effectiveness in complex societal applications.