The issue? Traditional analytics methods are built on fixed, linear logic, which is totally out of sync with today’s HR reality: high turnover, demand for flexibility, multiple contract types, and critical skill shortages. AI in HR analytics changes that, offering real-time insights, dynamic forecasting, and data-driven decision-making that adapt to the pace of modern workforce challenges. The post How to Use AI in HR Analytics: Key Technologies and Methods appeared first on PeopleSpheres.
