Adoption of AI agents will skyrocket in the next few years, and CIOs are still grappling with the implications of that. Gartner® predicts that “by 2028, an average global Fortune 500 enterprise will have over 150,000 agents in use, up from less than 15 in 2025, generating significant agent sprawl, IT complexity and management challenges.” Specifically, data management is becoming the defining challenge for enterprise AI. Unlike traditional AI applications, agents continuously reason, retrieve information, and act based on that information. To perform their best, these agents need consistent access to timely, contextual data. Agentic AI doesn’t just increase demand for…

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