Fintech-Speed Banking: AI Blueprint
summary
Pragmatic AI blueprint used across 100+ real‑world models claims to retire legacy stacks by standardizing operational and analytical data on a Lakehouse, enforce open standards like ONNX and MLflow plus OpenTelemetry and open lineage, and apply reusable patterns with secure cloud governance. A bank-grade platform is already built—S3‑compatible, hybrid cloud, no vendor lock‑in—delivered by a team of 10 built in one year and reported to cut tech complexity while scaling model deployment.
AI-written summary · about
chapters (7)
- 0:00Introduction to fintech speed banking
- 6:18Five golden nuggets of AI banking
- 10:40Avoid building foundation models
- 12:30Understanding AI hallucinations
- 16:47Build on open standards
- 19:20Data transformation is key
- 21:51Building a modern data platform
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