What to expect?
The Aus Gov Data Summit returns for its 12th year, bringing together more than 500 leaders across federal, state, and local government. The 2026 programme focuses on trusted AI, robust data governance, and future-fit architecture, all essential for a modern, resilient public sector.
Across key streams including CDAO Strategy, Data Analytics and AI, CIO Leadership, and Cybersecurity, delegates will explore how agencies can strengthen privacy, improve interoperability, and build secure, AI-ready data foundations.
Join us at the 12th Aus Gov Data Summit
21-23 April 2026 | National Convention Centre, Canberra
Public sector organisations continue to face challenges with fragmented information environments, legacy systems, and increasing analytical demands.
We help agencies bring context, structure, and connectivity to complex data — supporting faster analysis, stronger governance, and clearer insight across operations.
- Preparing AI-ready data architectures
- Improving interoperability across siloed systems
- Enhancing data governance and transparency
- Supporting secure, context-rich insights for operational teams
We look forward to connecting with you in Canberra and exploring how we can support your mission.
Presentation at Aus Gov Data Summit
Rethinking Investigations for Tomorrow
Final presentation details coming soon. Our 30-minute session will explore how connected data and graph-based intelligence can support modern government decision-making.
Exhibition
Graph Powered Police Investigation
Stop by our booth to witness how Hume, powered by a graph database, revolutionises police investigations.
Our engineers will demonstrate how Hume seamlessly integrates disparate data sources, employs advanced analytics like temporal and geospatial analysis, and empowers investigators with intuitive visualisations. From identifying prime suspects to monitoring offenders and identifying threats, Hume streamlines the entire investigative process.
Analysts visiting our booth will experience the power of data linkage and complex querying firsthand, discovering how Hume, with its graph database backbone, can enhance their investigative efficiency.
Knowledge Graph Extraction from Unstructured Data Using GPT
At our booth, we will also showcase a groundbreaking paradigm shift with Large Language Models (LLMs) utilised for extracting knowledge graphs from diverse unstructured data sources such as documents, judicial reports, investigator reports, and social media posts.
Seamlessly integrated within the Hume data orchestration tool, LLMs empower data engineers to effortlessly integrate them into workflows, significantly reducing the time to acquire knowledge from months to mere minutes. Hume Orchestra harnesses the power of LLMs for entity extraction and relationship identification from text, sculpting a structured graph/network within a production system.
Creating Knowledge Graph from Phone Forensics
We will demonstrate the ingestion of forensic phone extractions and their transformation into a knowledge graph.
Based on information content and graph connectivity, we will select the most relevant target entities. Then, we will extract key information from these target phones using cutting-edge AI, including LLMs. Finally, we will enrich the data using OSINT, providing unique context on the target entities.
Seamlessly integrated within the Hume data orchestration tool, LLMs empower data engineers to effortlessly integrate them into workflows, significantly reducing the time to acquire knowledge from months to mere minutes. Hume Orchestra harnesses the power of LLMs for entity extraction and relationship identification from text, sculpting a structured graph/network within a production system.
