Track 1: Applied Analytics and Data Visualization | Room: 1151
Joseph Mosby, Specialist Master, Deloitte
Eric Dull, Specialist Leader, Deloitte
In this talk, we will explain how graph data structures serve as models of real-world activity, such as cyber attacks, money-laundering crimes, social interactions, and more. By formalizing records into a graph analytic paradigm, professionals can blend complex events from disparate data sources into a holistic portrait of activity across an organization. We will discuss new work in this arena, specifically in the arena of forensic and threat intelligence where time to solution is critical and data sources are often unstructured.
Joseph Mosby is a Specialist Master with Deloitte’s Cyber Risk Services, leading analytic application development, artificial intelligence, and forensic analysis engagements across clients in a variety of industries. He is an expert in the fields of software development, data science, analytical pipelining, anomaly detection, and computer network analysis. His current research areas of interest include computer vision and natural language processing.
Eric Dull is a Specialist Leader at Deloitte Cyber Risk, developing and executing large-scale data science and cyber applications for a variety of clients. He is a recognized expert with demonstrated mission successes in applied graph theory, data mining, anomaly detection, and data quality algorithms. His work includes machine learning, anomaly detection, computer network analysis, data mining, graph algorithm research and application against client problems. He has received a BA in CS from Carleton College and a MS in CS from Johns Hopkins University.
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