Preparing Data for Safe AI Enablement

This IDC Perspective emphasizes that the reliability and competitiveness of AI initiatives hinge on the quality, governance, and protection of enterprise data. Organizations must rigorously curate, secure, and continuously monitor data to ensure it is AI-ready, minimizing risks and ensuring compliance. Robust governance frameworks, cross-functional collaboration, and proactive oversight are essential to maintain trusted data foundations, enabling effective, transparent, and resilient AI deployment across the enterprise."AI is only as trustworthy as the data it consumes," says Jennifer Glenn, research director for Information and Data Security. "Without secure, curated data, every AI-driven decision becomes a potential risk."