Miro Antonijević delivered a presentation titled “Simulation – AI in Operation: Autonomous Decision-Making in Real Time” at the Smart Industry 2026 conference on Wednesday, 14 October, at Hotel Zonar in Zagreb.

During the presentation, he introduced KONČAR – Digital and the company's Asset Performance Management (APM) platform, designed to monitor and assess the condition of equipment in energy systems. Through live examples from the platform, he demonstrated how artificial intelligence can support the transition from equipment monitoring and analytics to more advanced, autonomous decision-making.

A key focus of the presentation was the use of AI to analyse sensor data, identify potential issues before they occur, and provide actionable maintenance and intervention recommendations. Attendees also had the opportunity to see how digital twin technology can simulate failure scenarios in real time, enabling operators to assess risks, evaluate possible outcomes, and make informed decisions before problems arise.

The presentation highlighted how predictive maintenance, simulation, and AI-driven recommendations can improve system reliability, increase operational efficiency, and reduce maintenance costs. At the same time, it underscored the importance of keeping a human in the loop in critical environments where the consequences of error are high.

The key message was clear: while AI is becoming an increasingly powerful operational partner, human expertise remains essential when making decisions that impact critical energy infrastructure.

Photo: Matija Habljak/PIXSELL