Discover the power of Knowledge Graphs in Criminal Intelligence Analysis
Without a comprehensive data analysis system, law enforcement agencies cannot operate at their peak efficiency. Investigations involve sifting through multiple, varied data sources, each with its unique structure and access methods.
The knowledge graph approach to intelligence-led policing bridges data silos, providing a comprehensive structure to data and a single view of intelligence. Many agencies still lack the software and tools for adequate data analysis, emphasising the need for effective techniques.
Crafted by our experience, this e-book propose a three-step process to leverage knowledge graph for criminal intelligence and intelligence-led policing strategies. 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.
The 2nd edition of this e-book was expanded to include information on how LLMs and generative AI can be used to improve the results of the investigative processes.
Since the publication of the first version, large language models have rapidly evolved into a mature technology, ready to be used for gaining new insights and making investigations more efficient. You can explore the potential applications of LLMs in the text boxes embedded throughout each chapter.
Author: Alessandro Negro, Chief Scientist at GraphAware