Redefining industrial decision-making processes through the use of agent-based AI

Objectives:

• Combining continuous monitoring of production processes with complex reasoning and rapid decision-making to enable more efficient industrial decision-making processes.

• Providing personalized information and supporting interactive discussions of production problems to improve effective industrial problem solving.

• Implement flexible adaptation to dynamic situations in the complex environment of steel production.

• Development of autonomous AI agents that complement rather than replace human capabilities.

Expected Results:

• Improve operational efficiency and reduce costs by processing large datasets and real time decisions.

• Improving problem solving by machine learning capabilities with goal-oriented behavior.

• Improving the transparency and explainability of the results through enhanced AI functionality.