INSIGHT · US
Bank of America warns: data quality matters more than model sophistication for AI reliability
BofA argues that AI feature reliability depends first on data quality, not model capability. A sophisticated model trained on poor, fragmented, or outdated data produces unreliable outputs regardless of architecture.
WHY IT MATTERS
Shifts engineering priorities: BFSI must invest in data governance and master data management before chasing frontier models; poorly governed data undermines compliance, risk modeling, and customer trust.
Source: Tearsheet · 2026-08-06