LLMOps is essential for scaling and maintaining large language models in production, but effective deployment requires more than just technical deployment—it involves ongoing optimization, monitoring, and maintenance. Join a deep dive into the infrastructure and strategies necessary for efficiently managing LLMs, discussing best practices for minimizing latency, ensuring robustness, and maintaining performance as models evolve over time. Bring your questions, and join the interactive discussion.

In an era where financial threats leverage AI and operate across borders in real-time, traditional compliance has become a liability rather than protection. But, building truly autonomous agents that evolve with emerging threats without creating regulatory risk or operational chaos requires rethinking everything we know about AML systems. This session reveals the complete architecture ingesting multi-channel transaction streams, coordinating specialist AI agents for investigation workflows, and maintaining explainable decision trails all while managing federated learning across institutions, detecting adversarial attacks, and ensuring regulatory acceptance. Whether you're modernizing legacy compliance infrastructure or building next generation FinTech platforms, you'll walk away with proven patterns for resilient, adaptive systems that transform compliance from cost center to competitive advantage.