May 13, 2025:
AI Project Failures Linked to Data Readiness Issues - A Fivetran report indicates that nearly half of enterprise AI projects fail because of inadequate data readiness, resulting in higher costs and lower customer satisfaction. Despite significant investment in data centralization, 42% of companies experience setbacks in AI initiatives, mainly due to challenges in maintaining complex data pipelines and lacking real-time data access. To address these issues, 65% of enterprises plan to invest in automated data integration tools.
Industry and regional disparities in AI readiness remain, with the Asia-Pacific region leading globally. Fivetran stresses the importance of modern, automated infrastructure to unlock the full potential of AI.
