Capgemini Names Three Data Gaps Blocking Enterprise AI Scale
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Global – October 20, 2026 -- Capgemini identifies three data failures (fragmentation, stagnation and semantic inconsistency) as the main barrier keeping enterprise AI confined to pilots, particularly in financial services and other highly regulated industries.
Capgemini's Renjith Sreekumar says scaling problems lie in data, not models
Renjith Sreekumar, Head of Oracle Cloud & AI CoE for Financial Services at Capgemini, frames the issue as a shift from "does AI work?" to why it is so hard to scale. Early gains in analysis, content creation, workflow automation and customer experience remain limited to pilots, single functions or tightly controlled use cases.