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WorkThe story, in brief

Why The 'Last Mile' Of AI In Finance Is An Infrastructure Problem, Not A Model Problem

Your AI model is fine. Your data infrastructure is killing you.

Reporting by Forbes Innovation 1 min brief
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The KeyNews take

Why it matters

Financial services leaders are chasing model capabilities when the real bottleneck—data quality and pipeline infrastructure—determines whether AI deployments succeed or fail in production.

The key facts

9 to know

  1. Data infrastructure quality sets ceiling on AI system performance

  2. Model architecture improvements cannot overcome infrastructure constraints

  3. Financial services sector perspective on AI deployment barriers

  4. Infrastructure-first approach to AI ROI in regulated industries

  5. Article argues data infrastructure quality sets ceiling for AI system performance

  6. Model architecture improvements cannot overcome poor data infrastructure

  7. Framed as 'last mile' problem in financial AI deployment

  8. Published by Forbes Tech Council (thought leadership/opinion format)

  9. No specific financial data, benchmarks, or case studies cited in excerpt

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ceiling.
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