GraphAware at GraphSummit 2024
Sydney, Australia
9 May, 2024
What to expect?
We are excited to be part of Neo4j's GraphSummit Sydney on May 9th, 2024, as we explore the future of interconnected data and AI. Discover how graph technologies are driving breakthroughs in productivity and growth for organisations worldwide.
Learn how GraphAware’s HUME is assisting the Western Australia Police Force in their investigations.
Meet with Dan Newland, General Manager for Australia and New Zealand, to discuss the latest advancements in graph analytics technology.
Looking forward to seeing you there!
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.
What our customers say about Hume
When a child goes missing, every minute counts. With Hume, we don’t have to start from scratch every time an event like this is reported. Our data is available and ready to be analysed. We can act fast and save lives.”
“The system has instantaneously produced results that would have taken a human a significant amount of time to conduct manual analysis, and in some cases identified links that would have unlikely been identified at all.”
“I feel like a caveman that discovered fire.”