In the wake of the global financial crisis, the world has become much more interconnected and immensely more complex. As a result, you can no longer simply look at the past as an indicator of future trends. The financial services industry needs real-time insights into numerous interacting variables to make informed decisions. Agent-based modeling can address this complexity by simulating the reaction of agents—virtual copies of people, banks, stocks, trading counterparties, or other autonomous entities—to a variety of environmental factors. This white paper shows how new analytical platforms, such as Simudyne’s, combined with the power of the Cloudera modern data platform, can provide policymakers, regulators, and other key players in the financial services sector with the necessary tools to address these complex challenges.