Centralization is a Prerequisite for AI

Imagine your organization's data as a scattered puzzle. Customer information resides in one system, sales data in another, and user interactions in yet another. These disparate data silos hinder efficiency, collaboration, and the ability to extract valuable insights. Centralizing data brings all these pieces together, creating a unified and comprehensive view. It simplifies data management, reduces duplication, and enhances data quality. This consolidated data hub becomes the foundation for informed decision-making and the fuel for cutting-edge technologies. According to Larry Ellison, CTO of Oracle, and Gartner, to take advantage of AI, you must first centralize, organize, and enrich metadata first. who says that without organizing your data you cannot use AI. You must first consider the consolidation, de duplication, and metadata enrichment via Centralpoint's inference engine.