Over 10,000 physical typewritten documents from 1932 to 1941 had to be digitised, structured, and connected in order to create a single, centralised source of knowledge, for enabling the analysis of historical processes.
We presented as a special guest of the European Forensic Institute Meet The Experts series, delving into the cutting-edge realm of "Automating OSINT Data Collection into Knowledge Graph using Large Language Models (LLMs)."
You will learn:
Don't miss the opportunity to revolutionise your investigations by combining LLMs and Knowledge Graphs! Fill out the short form below to watch the webinar!
In this webinar session, we will unveil how Hume leverages GPT and LLMs to expedite intelligence analysis on extensive unstructured datasets, with a specific focus on law enforcement.
Our live demonstration will centre on the public judicial reports detailing a vast web of state corruption in South Africa, commonly known as the "state capture" or the Gupta Leaks. By employing OpenAI’s GPT (Generative Pre-trained Transformers), we will showcase how the model facilitates Named Entity Recognition (NER) and Relation Extraction (RE) to extract pertinent knowledge from these texts.
You will learn:
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In this webinar, Dan Newland, General Manager of ANZ, GraphAware, showcases the truly transformational power of Graphs for law enforcement agencies. Dan presented how a cutting-edge graph solution can eliminate obstacles in the criminal intelligence process and increase its efficiency.
You will learn how graphs solve the challenges of modern intelligence:
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Crafted by our experience, this e-book propose a three-step process to leverage knowledge graph for criminal intelligence. Understand how intelligence agencies organise, compile and query vast amounts of varied data rapidly, opening up a realm of limitless possibilities for further analysis and applications such as intelligence automation or pattern recognition.
In this webinar, Petr Matuska, alongside an expert guest with firsthand experience in counter-terrorism investigations, will use the Hume intelligence analytics solution to unveil terrorist sleeper cell from OSINT, phone forensics, and government data.
The live demonstration illustrates how graph-based analytics tools assist intelligence analysts to automatically create and maintain a continuously available Common Intelligence Picture, uncover hidden patterns, unknown unknowns, and automate alerts on new potential threats.
You will learn how the graph-based approach enables:
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Entity Resolution (ER) draws connections between scattered, incomplete, and inconsistent records to resolve unique entities. ER is relevant in intelligence analysis, in which organized, complete, and consistent information is crucial for empowering investigations in different areas. This session shows with practical examples the role of the graph as a powerful tool for improving traditional ER. We expose its multiple capabilities: the flexibility of data representation, the application of predictive analysis and machine learning algorithms, and the opportunity to explore the data using network-based visualizations. We show end-to-end pipelines, from data ingestion to downstream analysis, discussing good practices and challenges.
Entity Resolution (ER) draws connections between scattered, incomplete, and inconsistent records to resolve unique entities. ER is relevant in intelligence analysis, in which organized, complete, and consistent information is crucial for empowering investigations in different areas. This session shows with practical examples the role of the graph as a powerful tool for improving traditional ER. We expose its multiple capabilities: the flexibility of data representation, the application of predictive analysis and machine learning algorithms, and the opportunity to explore the data using network-based visualizations. We show end-to-end pipelines, from data ingestion to downstream analysis, discussing good practices and challenges.
In this video, we will present how Knowledge Graphs and Hume streamline Tax Office investigations. In particular, we are assuming the position of an investigator examining Businesses with potential Fraudulent claims for VAT Returns. The right tool enables investigators to understand and interpret relevant data much deeper and quicker, including proactively detecting complex patterns. This way, we help Tax Departments save millions of Euros from false refunds.
Over 10,000 physical typewritten documents from 1932 to 1941 had to be digitised, structured, and connected in order to create a single, centralised source of knowledge, for enabling the analysis of historical processes.
Hume provides a single view of intelligence enabling analysts to quickly identify links and patterns of interest in the vast amounts of information they have access to. On a single canvas, analysts quickly find connections between entities, understand geographical and temporal context, and perform advanced network analysis.
Learn more about how Law enforcement agencies are already using Hume to power their intelligence analysis and achieve success.
