AI Confidence Surpasses Readiness, Data Integrity Gaps Persist

A recent study by Precisely and Drexel University's LeBow College highlights discrepancies between AI confidence and readiness among enterprises. Despite 87% of leaders claiming robust infrastructure for AI, 42% identify it as a major hurdle. Additionally, only 31% align AI with key performance metrics, indicating a gap in concrete business integration.

The study emphasizes the importance of data governance, with 71% reporting high trust in data where clear strategies exist. However, 51% cite a skills gap, particularly in deploying AI at scale, underscoring the need for comprehensive training in data strategy and AI governance.

Agentic AI, noted for actionable insights, raises the bar for data integrity, necessitating a focus on holistic data strategies to bridge existing gaps. Organizations that prioritize integrated, agentic-ready data stand to gain the most in terms of AI-driven success.