How an AI-ready database helps speed-up AI innovation, minimize costs and deliver AI agents that actually work
by Christy Maver
AI adoption is starting to translate into real-world returns. But as efforts accelerate, many organizations are running into the same problem: systems that are too expensive, too slow, and can’t scale.
Among companies with disconnected data environments, 67% cited data storage, movement, and duplication as the largest recurring AI cost, according to a recent survey of over 1,200 technology leaders by Economist Enterprise. For those with a unified data architecture, that number drops to just over half.
Now is the time to build the future-proof foundation for AI. But database migrations are expensive and a major source of frustration. The deeper organizations envelop themselves around legacy architecture, the harder it will be to get out. Open and AI-ready databases give companies more flexibility and control over how their data is used, and empower developers to quickly, securely, and efficiently reorient the business around AI.
