Data and AI Architecture Melbourne

As demands on data grow, the agenda tackles how to unify teams, modernise governance, and create visibility across pipelines helping organisations reduce friction, strengthen trust, and deliver consistent, high quality data outcomes.

Led by experienced practitioners, the program dives into real architectural decisions, from lakehouse design to AI integration and cost performance trade offs. Expect practical perspectives on building adaptable systems, improving data reliability, and shaping operating models that support long term scalability, innovation, and measurable business impact.

Our key themes for 2026:

AI-driven architecture: To support intelligent systems, data foundations must evolve-enabling automation, scalable compute, seamless model integration, and enterprise-wide workflows.

Aligned teams: Breaking silos and structuring roles around shared goals accelerates delivery, reduces friction, and boosts long-term data value.

Modern governance: Innovation needs flexibility, but not at the expense of control. The right balance ensures compliance, cost control, and trusted data as technology evolves.

Trusted pipelines: Confidence in data depends on visibility, proactive monitoring, clear lineage, and automated checks that turn unknown risks into manageable, reliable systems.

Join the conversation on #damel


URLs:
Website: https://go.evvnt.com/3642593-2?pid=2874
Brochure: https://go.evvnt.com/3642593-3?pid=2874

Category: Conferences | Engineering and Technology