This session presents a practical AI Reference Architecture that enables organizations to design, deploy, and operate enterprise-grade AI solutions securely and at scale. Attendees will explore the essential building blocks of a modern AI ecosystem, including data platforms, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, AI gateways, agent frameworks, APIs, observability, security, governance, and MLOps/LLMOps.

Drawing on real-world enterprise architecture principles, the session demonstrates how to integrate AI capabilities into existing business and technology landscapes while maintaining compliance, resilience, and operational excellence. Participants will gain actionable guidance for building AI platforms that support multiple business units, accelerate innovation, and reduce technical complexity.

Whether your organization is starting its AI journey or scaling AI across the enterprise, this session provides a blueprint for creating a secure, governed, and future-ready AI architecture.