Why The 'Last Mile' Of AI In Finance Is An Infrastructure Problem, Not A Model Problem
Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ceiling.
- Financial institutions spend 60% of AI project time on data preparation and integration, according to McKinsey research.
- JPMorgan Chase invests over $17 billion annually in technology but still battles fragmented customer data across hundreds of legacy systems.
- A 2025 Gartner survey found that 78% of financial firms cite data quality as the top barrier to AI deployment at scale.