Data, AI and maintenance: the next step in prediction

Industrial maintenance is evolving towards a new paradigm driven by data and artificial intelligence. Beyond traditional predictive maintenance, organizations are incorporating advanced models capable of anticipating failures, optimizing operations, and making decisions in real time. This session will address how the combination of industrial data, advanced analytics, and AI is redefining asset management and operational efficiency. Through real cases and plant experiences, the leap from prediction to more autonomous, prescriptive and business-oriented models will be explored, which allow costs to be reduced, availability to be increased and industrial competitiveness to be improved.