Report
2026 State of Data Integrity and AI Readiness
2026
Abstract
Artificial intelligence has become the primary driver of organizational data strategies, yet a striking paradox has emerged: while most executives claim they have the necessary infrastructure, skills and data readiness for AI success, a substantial portion identify these same elements as their biggest obstacles. Despite many acknowledging critical gaps in governance, skills and data quality, positive ROI from AI investments is still expected in the coming year, revealing a potential confidence-reality gap in AI readiness.
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Details
- Title
- 2026 State of Data Integrity and AI Readiness
- Creators
- Center for Applied AI and Business Analytics (Institution)Precisely (Institution)
- Publisher
- Drexel University, LeBow College of Business
- Number of pages
- 37
- Resource Type
- Report
- Language
- English
- Academic Unit
- Bennett S. LeBow College of Business
- Other Identifier
- 991022208146004721