What to expect?
We are excited to announce that we will be participating in the Crime Analysis 2024 Conference, hosted by the European Association of Crime Analysts (EACA). This premier event will take place at the BZ- Business Centre in Hamburg, Germany, on the 14-15th October, bringing together crime and intelligence analysts from across the globe.
Learn how GraphAware Hume’s is critically enabling data analysts in their investigations.
Come to learn the latest knowledge, innovative ideas, and practical connected data analytics techniques through series of interactive sessions and networking.
Looking forward to seeing you there!
Presentation
Integrating Digital Forensics with OSINT and Proprietary Data Using AI
Adam Bednar, our Technical Sales Engineer, will demonstrate how to process and integrate digital forensics data (such as phone dumps) at scale, offering unparalleled flexibility and efficiency.
This approach allows for seamless integration with other resources both within and outside your organisation, including proprietary data and OSINT.
By employing knowledge graphs, Large Language Models, and automatic translations, he will showcase how using GraphAware Hume—a connected data analytics platform—enables data fusion across digital forensics data and other sources, enhancing your ability to derive meaningful insights.
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.
Phone Forensics Analysis
Visit our booth to see how our solution creates exploratory graphs from a single or multiple phone data and connects it with police records to provide the necessary context for further criminal investigations.
Discover how Action Boards summarise information from multiple devices in one cohesive view.