AI adoption is accelerating across every industry. Executives are under pressure to improve productivity, automate workflows, and unlock new insights through Generative AI. At the same time, there is growing concern that organizations that fail to embrace AI risk falling behind more agile competitors. Yet despite the excitement, many companies struggle to move beyond pilot projects and isolated use cases. The problem usually isn’t the AI model. It’s the foundation beneath it.

As artificial intelligence (AI) continues to advance, one major barrier still slows its adoption across enterprises: data risk...