In the traditional approach of performance management, managers should only rely on their own opinion about an individual's performance and are also responsible for providing feedback to employees. Managers have to do a lot of work, including rating employees, finding appropriate training courses, providing feedback on performance, and setting future goals for their employees. Conventional performance reviews are usually based on limited available data and performance indicators listed in the evaluation form, but in artificial intelligence-based performance management systems, data from many diverse sources are reviewed. Artificial intelligence allows the organization to continuously collect data from various sources such as written communications between employees, professional events and organizational social networks. Therefore, the system can provide real-time information about how people are performing, which helps managers make quick decisions and provide immediate feedback to employees.