Ravish Garg

This session demonstrates an end-to-end architecture for real-time fraud mitigation and autonomous incident response. We explore how combining continuous stream aggregation with graph database rule engine enables systems to identify compromised terminals and trace ripple effects across exposed accounts. Attendees will learn how multi-agent frameworks—coordinated via agent-to-agent communication and standardised context protocols—can safely bridge the gap between analytical data stores and transactional banking systems.

Are you ready to build the next generation of data-driven applications? This session demystifies the world of Autonomous Agents, explaining what they are and why they are the future of AI. We’ll dive into Google Cloud's comprehensive platform for creating and deploying these agents, from our multimodal data handling to the seamless integration of Gemini models. You will learn the principles behind building your own custom data agents and understand why Google Cloud provides the definitive platform for this innovation. Join us to gain the knowledge and tools needed to architect and deploy intelligent, self-sufficient data solutions.