This presentation will deep dive into the role of machine learning in adopting a proactive approach towards maintaining asset reliability. Topics to be covered include:

• Harnessing the power of data to reduce downtime and improve asset efficiency: which, how and why
• Assessing where to channel investment in cognitive computing, big data analytics and digital twins
• Why is this of increased importance in the current environment?
• Aligning core data with AI and machine learning to improve end-to-end asset safety
• Building asset reliability and maintenance models and how to leverage data properly to implement them