Chris Westphal
Mr. Westphal is Co-Founder and CEO of Visual Analytics, a leading data mining and analytics firm. He guided the growth of the company from launch into an increasingly important provider of critical data analytic capabilities. The flagship application, VisuaLinks, has steadily expanded in power and sophistication, leading to its adoption by Federal and local law enforcement, all major US intelligence agencies, the Department of Defense, civilian agencies, international Financial Intelligence Units (FIUs), as well as large corporations. Visual Analytics stands today as the leader in advanced Pattern Discovery analytics worldwide, a field of particular importance in the detection and prevention of terrorism, money laundering and financial crimes.
Mr. Westphal is a recognized authority in the detection and exposure of complex patterns. He has applied his expertise in commercial domains including forensic accounting, embezzlement, and fraud. He works closely with government programs addressing organized crime—including the Office of National Drug Control Policy (ONDCP), as well as agencies countering narco-terrorism, money laundering, and insider trading, including the Financial Crimes Enforcement Network (FinCEN), Internal Revenue Service (IRS, Criminal Investigations), Anti-Money Laundering Office (AMLO-Thailand), KoFIU (Korean Financial Intelligence Unit), Brazil-COAF (FIU) U.S. Customs Service, Defense Intelligence Agency, Defense Information Systems Agency (DISA), and a number of joint DoD programs involved with national security.
Mr. Westphal received his B.S.E. from Tulane University and has over 18 years of experience in advanced analytics utilizing data mining, visualization, and artificial intelligence technologies. His second book, Data Mining Solutions, was published by John Wiley and Sons in August of 1998.
Technologies for Money Laundering Analyses: New Approaches for Combating Financial Crimes
As a result of recent resolutions to seize and freeze terrorist assets, the enactment of the Patriot Act in the United States and recent legislation in other jurisdictions, law enforcement agencies have new responsibilities with respect to the acquisition, analysis, and sharing of financial data. No longer can analysts work in isolation – they must start to operate as part of a larger network involving the data, resources, and interactions of many different organizations. This presentation will explain how collaborative technologies can be used and will play a critical role in the next-generation systems that are being designed to help detect patterns and look for people involved in financial crimes and money laundering operations.