Rewriting the Rules of Data with AI

AI is rapidly redefining the rules of enterprise data management. Traditionally viewed as a manual and resource-intensive function, data management often struggled to keep pace with evolving business demands, the surge of unstructured data, and the need for real-time insights. Today, AI and data are becoming deeply interdependent. High-quality data enables stronger AI outcomes, while AI enhances the way data is managed, governed, and utilized – creating a virtuous loop that drives greater efficiency, innovation, and trust.

Organizations are beginning to realize tangible gains by embedding AI across the data life cycle, from ingestion and transformation to storage, governance, and orchestration. However, while AI is proving to be a catalyst for productivity, innovation, and compliance, scaling these capabilities across complex data ecosystems comes with certain challenges. Success depends on taking a structured approach: carefully planning initiatives, embedding robust governance, and applying AI responsibly and strategically, as outlined by the SOAR framework in this paper.