Generative AI can accelerate document-heavy banking workflows, but OCR errors, retrieval gaps, and opaque LLM behavior make accuracy, cost, and compliance difficult to control.
In this live webinar, DZone and Weights & Biases break down how to design auditable OCR-to-RAG pipelines built for regulated environments. Learn how to add end-to-end observability, governance, and evaluation so teams can trust AI outputs in production.
You'll walk away with
Clear strategies to reduce OCR and retrieval error propagation
Practical ways to add visibility and audit trails across GenAI workflows
Techniques to control cost, latency, and model risk
Who should join:
Engineering leaders and technical decision-makers responsible for governed, production-grade AI systems.
Webinar
