Finance and insurance teams are under pressure to ship GenAI use cases while keeping mission‑critical systems resilient, compliant, and fast. Yet many are still running a patchwork of multiple SQL clusters for core workloads, separate engines for logs and analytics, and custom glue code for anything AI‑related. The result: complexity, latency, and rising risk.
During this live webinar on March 31, Johann Thooris, Senior Partner Solutions Architect at MongoDB and Jonathan Oaker, Founder and CTO CloudZA will share how a hybrid data platform can serve transactions, failover, log analytics, and GenAI side‑by‑side.
You’ll learn how to keep RPO/RTO under control, scale read/write performance for spiky financial workloads, and power AI features like RAG and intelligent assistants using native vector search, auto‑embedding and VoyageAI models without copying data across half a dozen systems.
💡You’ll leave with concrete patterns you can apply immediately: how to design for hybrid + DR, how to treat logs as a first‑class dataset for observability and fraud insights, and how to make your data stack GenAI‑ready without rewriting every core system.
What we’ll cover (Live Demo):
✅The Transaction Simulator: A real-time look at the clearing stage, evaluating synthetic transactions (Account Takeover, Card Testing, etc.) against behavioral baselines.
✅Uncovering Fraud Rings: A live walkthrough of Network Visualization using $graphLookup to instantly trace money laundering loops and hidden relationships between accounts.
✅The "Side-by-Side" Pipeline: How to ingest 26,000+ transactions and 50+ rich customer profiles into MongoDB to create an "Intelligence Layer" alongside your legacy core.
✅Agentic Investigation Reports: Using LLMs (via the Model Context Protocol) to automatically generate suspicious activity reports (SARs) based on the data discovered in the demo tool.
