Artificial intelligence and advanced analytics are transforming manufacturing asset management, with predictive maintenance growing 25% annually and industry AI investment exceeding $7 billion.  This session focuses on strategic prioritisation of the most valuable AI applications, robust ROI frameworks, and the impact of AI-powered demand forecasting on operational results.

• Where should manufacturers deploy AI for the greatest operational ROI, and what frameworks guide effective prioritisation?
• How can AI-driven predictive maintenance and demand forecasting deliver 95%+ accuracy, halving downtime and cutting costs by up to 40%?
• What strategies enable seamless integration of digital twins and IoT sensors to achieve 200%+ median ROI?
• How can organisations scale human–machine collaboration in Industry 5.0 to maximise productivity gains?
• Which emerging technologies—edge computing, quantum–AI, blockchain—will define next-generation intelligent asset management?