
The gap between an organization’s massive investment in generative artificial intelligence and the actual realization of its business value has widened as legacy data architectures struggle to feed the insatiable appetite of modern models. While many enterprises have successfully launched pilot programs, the transition to production environments frequently uncovers a systemic bottleneck in how information is stored, accessed, and governed.










