Date
- May 19 - 21, 2026
Time
- All Day
Location
- Melbourne
-
00
days
-
00
hours
-
00
minutes
-
00
seconds
National Data & Intelligence-Led Regulation Summit
Bringing together senior regulatory, intelligence, data and enforcement leaders, the summit tackles the hardest challenge of data-driven and intelligence-led regulation: “implementation”, turning data and intelligence into defensible, frontline regulatory decisions that reduce harm and improve outcomes.
The program goes beyond dashboards and analytics theory to explore how intelligence-led operating models are embedded in practice, from strategic risk prioritisation through to tactical targeting and operational decision-making. Across two days, you’ll hear directly from agencies that have redesigned risk models, intelligence functions, governance frameworks and workforce capability so inspectors, investigators and case officers can confidently act on insight.
This summit features case studies from across federal and state regulators and has been designed for regulators at all stages of data and intelligence maturity. Whether you are building foundational capability or refining mature intelligence practices, you will leave with practical insights to operationalise intelligence, strengthen compliance impact, and modernise how regulation is delivered and measured.
Join regulatory peers and colleagues, as they share lessons learned on structuring and positioning intelligence functions, overcoming cultural resistance, enabling effective cross agency data sharing, analytics and governance and transitioning from reactive enforcement to proactive regulation.
What You’ll Gain From The Summit
• Turn data and intelligence into frontline action
See how agencies move from dashboards to targeted interventions, risk-based inspections and prioritised investigations.
• Build risk models regulators trust
Learn how to overcome cultural resistance, replace “captain’s picks,” and keep models explainable, current and defensible.
• Transform messy data into usable intelligence
Apply NLP and analytics to complaints, reports and unstructured data, even with limited data maturity or budget.
• Benchmark and prioritise your next steps
Compare your maturity with peer regulators and identify where to focus investment next.
