Please RSVP using your full name. You will be required to show a valid ID upon entering the building, and it must match the information provided. Registration closes at 5:20 PM and operates on a first-come, first-served basis until we reach full capacity.

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Modern AI systems are only as trustworthy as the data and architecture that support them. This session explores how to design a cloud-native Healthcare Digital Twin on Google Cloud, beginning with a trusted, event-driven data platform before layering in AI capabilities.

We'll examine how deterministic data pipelines, validation frameworks, and state management create a reliable foundation for AI, before exploring how AI can be safely integrated using confidence scoring, validation against trusted clinical data, and human oversight. The session also covers the security architecture, governance model, and observability practices required to operate these systems in production.

Through architecture walkthroughs and live demonstrations, attendees will see how Google Cloud services can be combined to build resilient, production-style platforms where AI augments decision-making while remaining grounded in trusted data.