As more organizations across all markets put data at the heart of their business, data governance becomes a top priority amid regulations designed to ensure data privacy and security. Efforts to implement strong data governance and quality are more challenging than ever as AI initiatives rely heavily on data to meet expectations for dramatic process improvements and competitive advantages. Data from across organizational frameworks is flowing into AI tools and supporting components, including large language models (LLMs) and foundational models (FMs), creating even greater scrutiny driven by regulatory, compliance, and corporate governance requirements.
To address these challenges, organizations are turning to data governance tools that help them carefully inspect, monitor, and manage data, especially in the face of widespread AI strategies and initiatives. To better understand these trends, TechTarget’s Enterprise Strategy Group surveyed 318 data and IT professionals from organizations across North America (the United States and Canada) who are involved in or responsible for evaluating, purchasing, and managing data governance solutions and services.
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