Messy Data Derails Enterprise AI Ambitions
Until CIOs tackle issues like siloed, redundant, or untraceable data, generative AI will remain a distant dream. A recent survey by Enterprise Strategy Group found that over 60% of organizations face significant gaps in AI readiness, especially around infrastructure and data ecosystems. The excitement for AI is palpable, but the reality is harsh: many enterprises aren't prepared.
Data mismanagement, rampant redundancy, and siloed information mean that even basic customer data can be elusive. How did it get this bad, and what can be done? Without addressing these data issues, AI investments will likely flounder.