Summary：**Bank of America Reveals How Superior Data Quality Powers AI Breakthroughs** *Watch more: Summer S

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**Bank of America Reveals How Superior Data Quality Powers AI Breakthroughs**
*Watch more: Summer School With Bank of America’s Matthew Davies – For finance chiefs, the technology challenge is no longer a lack of options. It is an excess of them. Chief financial officers are being presented with an expanding menu of artificial intelligence solutions that promise to reshape everything from risk modeling to cash‑flow forecasting.*

### Introduction
Bank of America recently hosted its annual Summer School session, where senior strategist Matthew Davies outlined a simple yet powerful truth: the next wave of AI innovation hinges not on more algorithms, but on cleaner, more reliable data. Speaking to a room of CFOs and technology leaders, Davies emphasized that while the market floods finance teams with AI tools, the real differentiator lies in the integrity of the information feeding those models.

### Key Developments
During the presentation, Davies highlighted three concrete steps the bank has taken to elevate data quality:

1. **Unified Data Lake** – By consolidating legacy silos into a cloud‑native repository, Bank of America reduced duplicate records by 38% and improved data latency from hours to minutes.
2. **Automated Governance Framework** – Machine‑learning‑driven tagging and lineage tracking now enforce compliance standards across 12 billion daily transactions, cutting manual validation effort by nearly half.
3. **Real‑Time Quality Scores** – A proprietary dashboard assigns a