ABSTRACT
This approach to network analysis allows analysts with limited training to analyze networks with millions of nodes by leveraging machine learning and simple visualizations in Tableau. The technique has proven its value in addressing priority intelligence requests in operational environments and radicalization research. Participants will: · Take intelligence-relevant examples of network analysis using machine learning to show its effectiveness over traditional link and node analysis. · Process any data using a source and target method with automated enrichments to detect communities and prioritize targets for efficiency of effort. · Analyze automatically detected communities using augmented intelligence to identify patterns, specific information sources, and crowdfunding sites. · Recieve the collateral to repeat this process in the future within an operational environment.

BIOGRAPHY
Josh is a Principal Solution Engineer at Tableau who has worked in the public sector and national security community for over a decade on issues spanning the globe. He currently focuses on applying artificial intelligence and machine learning to analytics challenges across the public sector in North America. These challenges have included using network analysis for disinformation on social media, object extraction from images, and natural language processing for entity extraction. Josh holds a Masters of International Affairs from NPSIA and has provided commentary on social media and cybersecurity to the CBC, the Verge, and the Atlantic.