AI engineering shifts the focus from training a separate model for each task to steering a pretrained foundation model toward a specific business problem. In finance, that means designing the system around the model as well as protecting the accuracy, auditability, and integrity of its data. section 3.1.1 section 3.1.2
A production financial AI system surrounds its model with:
- Security guardrails and compliance checks. section 3.6
- Caching, model routing, and retrieval-augmented generation (RAG) pipelines. section 3.6
- Data pipelines that preserve accuracy and auditability; poor-quality or biased input can produce poor-quality or biased output. section 3.1.2
A finance use case
The AlphaStream team sets out to build Alpha Digest, illustrating the shift from developing a model for one task to engineering a GenAI system for a financial application. section 3.0
