Today’s data and IT leaders face a critical choice: build an enterprise-level data system of record (SOR) or risk stalling their digital and AI ambitions. While application-based SORs, such as those embedded within CRM or ERP tools, have historically provided local solutions for managing customer, product, and financial data, they create more enterprise silos that hinder AI’s potential to drive strategic insights and automation. This presentation will examine why a unified, enterprise-level SOR is essential to meet the data demands of advanced AI and machine learning. We’ll explore how enterprises can unlock and integrate historical data trapped in these app-based SORs to establish a centralized data foundation. By creating a cohesive enterprise SOR, organizations can fuel AI models with the trusted, real-time, and interoperable data necessary to achieve true digital transformation, making enterprise-wide intelligence and agility a reality.
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