Retailers Hit Hardest by ‘Data Paradox’ as AI Ambitions Collide with Poor Data Quality

Enterprise “Data Paradox” uncovered as nearly 90% face delays due to data errors despite push for AI modernization - Automation Magazine

Key findings from the MindBridge survey of 640 professionals across retail, manufacturing and energy industries found that: 90% of organizations report a direct financial hit from undetected errors, with approximately 62% describing the impact as moderate to severe 40% of businesses are “somewhat” or “very” concerned about errors, risks or unusual activity going unnoticed as they implement AI to improve efficiencies 68.5% of energy respondent…

Retailers hit hardest by ‘data paradox’ as AI ambitions collide with poor data quality

Retailers are facing the most severe operational disruption from poor data quality among major industries, according to new research from MindBridge, as businesses accelerate investment in AI-driven transformation. The study, which surveyed 640 professionals across retail, manufacturing and energy, highlights what it describes as a growing “data paradox” where organisations are pushing toward AI-enabled efficiency while being held back by unreli…