Reducing production risks and operating costs, as well as increasing productivity are among the priorities for the processing plant of Bakyrchik Mining Enterprise. The main function in this technological chain of gold ore processing is performed by the flotation cycle.

The presentation will describe the main opportunities for the effective implementation of a flotation cycle optimization system, which, using machine learning and artificial intelligence technologies, should perform the following functions:

- Conduct analytics of any data available at the enterprise;
- Real-time display of the state of hidden processes occurring in the flotation cycle for operational control of key operational and financial indicators of production;
- Model, predict and optimize flotation cycle operations;
- Perform end-to-end modeling of material flows throughout the entire flotation cycle;
- Provide the ability to regularly retrain and calibrate models based on machine learning technologies using constantly incoming real-time new production data.