India, Oct. 21 -- Organisations are investing in artificial intelligence (AI), but fragmented data, legacy IT systems and constraints on computing infrastructure are slowing the transition from pilot projects to large-scale deployment, according to new research by Iron Mountain.

The report, The Information Supercycle: Aligning Data, Infrastructure and Capital for AI Scale, finds that 86% of organisations experienced delays or cancellations in AI projects because of data-related concerns over the past 12 months. Although 95% consider using data to improve business outcomes a priority, many lack the information governance and infrastructure needed to deploy AI reliably at scale.

The findings highlight a gap between AI adoption plans and o...