AI Platforms & Engineering
For CIOs, CTOs, Data Engineers, and AI/ML Specialists. Dive into the architectures, pipelines, and engineering practices needed to scale AI securely, cost-effectively, and with trust across government.
Laying the technical foundations for safe, scalable, and cost-effective AI in government: this track explores the architectures, tools, and engineering practices needed to operationalise AI at scale. We’ll dive into topics such as MLOps and ModelOps for the public sector, modernising infrastructure for AI workloads, and building secure data pipelines that enable generative AI, RAG, and vector search. With a focus on resilience, interoperability, and trust, this stream highlights how government can engineer AI platforms that are future-ready, standards-aligned, and designed to deliver measurable impact across agencies