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Organizations Strive to Address Data Classification and Lineage
Governance Initiatives Are Challenged by Cybersecurity Events
Governance Has Moved to the Forefront of the AI Age
AI-influenced Investments Are Underway
Conclusion
Research Methodology
Respondent Demographics
Research Report: Navigating Data Governance in the Age of AI
Research Report
Sep 17, 2024
by
Stephen Catanzano, Emily Marsh, Enterprise Strategy Group Research
As a rapidly rising number of organizations across markets position data squarely 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 data quality are more difficult than ever as AI initiatives lean heavily on data to meet expectations for drastically improved processes and competitive advantages. Data from across organizational frameworks is pouring into AI tools and supportive components, including large language models (LLMs) and foundational models (FMs), spawning even more scrutiny driven by regulatory, compliance, and corporate governance requirements.
To address these challenges, organizations are turning to data governance tools to help them carefully inspect, monitor, and manage data, especially in the face of widespread AI strategies and initiatives. To gain further insight into these trends, TechTarget’s Enterprise Strategy Group surveyed 318 data and IT professionals at organizations in North America (US and Canada) involved with or responsible for evaluating, purchasing, and managing data governance solutions and services.
Page Count: 19
Table of Contents
Executive Summary
Report Conclusions
Introduction
Research Objectives
Research Findings
The Data Landscape Is Rapidly Evolving
Organizations Strive to Address Data Classification and Lineage
Governance Initiatives Are Challenged by Cybersecurity Events
Governance Has Moved to the Forefront of the AI Age
