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Presented by Terry Dorsey, Denodo at the 13th annual Great Lakes Data, AI & Analytics Summit on April 10, 2025. In this presentation, I will delve into the transformative role of generative AI (GenAI) in accelerating the need for Data Unification within organizations. This innovative process unites various data-driven functions—such as enterprise integration, reporting, AI development, and data science—around a shared core of information, despite differing objectives. Central to this strategy is the implementation of a Logical Data Fabric, which is critical for transcending simple centralization. It ensures that data is not only centralized but also harmonized across the organization, making it accessible, consistent, and actionable. The integration of GenAI with a Logical Data Fabric has been pivotal in this shift, enabling faster integration and real-time data processing that are essential for agile decision-making in today’s fast-paced business landscapes. This approach not only boosts data analytics capabilities, including predictive insights and enhanced governance, but also significantly improves operational efficiency by reducing redundancies and streamlining data management. The Logical Data Fabric thus serves as the backbone of Data Unification, enabling a seamless flow of information that supports diverse business needs and drives organizational success. Learn how Logical Data Fabric Enables Enterprise-Wide consistent data management practices that are standardized yet flexible enough to meet the specific needs of different departments Fosters cross-functional collaboration by providing a common platform where data from various business functions can be integrated and analyzed cohesively Scales effectively to accommodate increasing data volumes and complexity ensuring that data management remains robust and agile and capable of supporting both current and future business demands. About WIT: WIT is an analytics and automation consulting firm with over 25 years of experience. We help our clients build solutions to maximize the value of their data and analytics assets, and automate key business processes. For more information, visit www.witinc.com.