The AI readiness illusion: 86% of organisations say data concerns delay or derail AI projects
New research from Iron Mountain reveals a growing gap between AI ambition and readiness as businesses move towards more autonomous AI.
Published in Iron Mountain’s new report, The Information Supercycle: Aligning Data, Infrastructure and Capital for AI Scale, the findings show that while 95% of organisations say using data to improve business outcomes is a top priority, 86% have experienced AI project delays or cancellations because of data concerns in the past 12 months.
The scale of work still required to make information usable for AI remains significant. 4 in 10 organisations spend at least 41% of their AI project timelines on manual data preparation, while only 39% fall into the report’s ‘digitized and structured’ category, where dark data is centrally managed, indexed and readily usable for analytics and AI.
Fragmented and legacy information remains a major barrier. 56% of organisations cite information spread across disconnected systems or departmental...
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