From Data Silos to Context Silos: What Database History Teaches Us About the AI Infrastructure Problem
import { BlogLink } from '../src/components/blogs/components/blog-link'; import { SeeMore } from '../src/components/blogs/components/see-more';
The database industry is repeating a historical cycle where specialized systems create fragmentation that demands convergence. As AI agents become primary data consumers, organizations face a new challenge: context silos, where information exists but cannot be retrieved fast enough for autonomous systems to act effectively.
