This session examines how artificial intelligence and advanced analytics are revolutionising manufacturing asset management, driving the predictive maintenance market to unprecedented growth of 25% annually while AI manufacturing investments surge to $7.1 billion in 2025.

With 90% of leading manufacturers now investing in predictive analytics and achieving up to 50% downtime reduction alongside 25-40% maintenance cost savings, intelligent asset management has become the cornerstone of competitive manufacturing operations in the Industry 5.0 era.
 

• How are manufacturers leveraging AI and machine learning to achieve over 95% prediction accuracy while reducing unplanned downtime by 50% and cutting maintenance costs by up to 40%?
   
• What proven strategies enable seamless integration of digital twins and IoT sensors into existing asset management frameworks, delivering median ROI above 200% across energy and manufacturing sectors?
   
• How can AI-driven predictive maintenance enhance sustainability and resilience as 4,000+ facilities move to smart factories?
   
• How can organisations enable human-machine collaboration in Industry 5.0 to boost productivity?
   
• What emerging technologies—including edge computing, quantum-AI integration, and blockchain-secured maintenance logs—will define the next generation of intelligent asset management and predictive maintenance strategies?