Self Learning Predictive Analytics—automatically learns from each interaction by autonomously updating its predictive models in real time
MultiChannel Support—provides partitioned learning models that support multichannel decision applications using a common set of decision logic and metadata
Time Aware Learning—maintains a sliding time window that places greater emphasis on recent behavior, eliminating the need to reset models to clear out stale influences
Business Goal Arbitration—manages competing business goals, such as increasing revenue while decreasing servicing costs
Balanced Rules-Driven and Model-Driven Decision-Making—enables a balance between user-defined business logic and predictive models based on empirical data
Service-Oriented J2EE Architecture—built on a service-oriented architecture (SOA) using industry-standard J2EE application servers (such as Oracle Application Server, BEA WebLogic and IBM WebSphere)
