Leveraging Knowledge Graphs and LLMs for Enhanced Criminal Intelligence // Alessandro Negro
Speaker

Alessandro Negro is the Chief Scientist at GraphAware. With a Ph.D. in Computer Science and extensive experience in Knowledge Graph solutions, he has successfully deployed machine learning systems combined with graphs for numerous organizations. He is the author of "Graph-Powered Machine Learning" (Manning, 2021) and "Knowledge Graphs and LLMs in Action" (Manning, 2025). Dr. Negro brings practical insights from managing large-scale AI deployments, optimizing system performance, and building trusted Knowledge Graph solutions that bridge the gap between research and production. His recent work focuses on integrating Large Language Models with knowledge graphs to create more reliable and explainable AI systems at scale.
SUMMARY
This talk presents a three-step process that combines knowledge graphs with large language models (LLMs) to revolutionize how law enforcement agencies gather, analyze, and share criminal intelligence. This approach addresses critical challenges in modern policing: data silos, investigation complexity, and the need for transparent, explainable intelligence sharing.

