The Talent Index is the first real-time, data driven Human Capital Index, a centralised, machine learning repository that creates a complete and transparent overview of Human Capital in enterprise
Human Capital data is collected from clients, social media, credit agencies and other sources in near-real time to provide a complete overview Human Capital movements and trends as they happen. Information, predictions and recommendations are provided through easy to read dashboards that are fully customisable.
The Talent Index predicts enterprise and market talent conditions through trend monitoring, talent clustering and talent profiling.
Social Services organizations are on the front-line of government efforts to deliver better outcomes to citizens with limited resources. Since funding for social services typically represents one of the largest components of government spending, there is increasing pressure to do more with less and be as efficient as possible. This means balancing equitable serve to citizens with minimal waste and error.
The Asseg.ai’s Counter Fraud Management and Improper Payments solution is designed to help agencies avoid the ‘pay and chase’ scenario by intercepting transactions in real time that are potentially fraudulent, while detecting, identifying, and building the case against past fraudulent activity and improper payments. Looking at counter fraud operations as an entire lifecycle, this solution introduces advanced analytics and investigative analysis throughout the entire process. Implementing this holistic approach allows agency staff to more effectively manage case workloads, optimize business processes and target high probability areas for fraud and abuse, thereby driving greater compliance and enhanced service to those citizens worthy.