Asset Performance Conference

Artificial intelligence is opening up new opportunities to make maintenance processes smarter and more efficient. Discover how generative AI, AI agents and intelligent analytics support maintenance teams in fault diagnosis, knowledge management, maintenance planning and decision-making. The focus is on real-world industrial applications and the transition from AI experimentation to measurable business value.

From reactive to predictive and prescriptive maintenance: discover how data analytics, machine learning and advanced algorithms help anticipate equipment failures and optimise maintenance interventions. Learn how companies implement these technologies and turn predictive insights into actionable measures that reduce downtime and control maintenance costs.

A clear understanding of the current condition of machinery is essential for reliable maintenance. Explore the latest developments in vibration analysis, sensor technology, online monitoring and intelligent fault detection. Discover how industrial companies use condition monitoring data to identify anomalies earlier, prevent unplanned downtime and improve maintenance planning.

How healthy are your industrial assets, and how does their condition evolve over time? Discover how asset health monitoring, advanced diagnostics and performance analytics help assess the technical condition of equipment and installations. Learn how organisations use these insights to prioritise maintenance activities, extend asset lifecycles and make better-informed investment decisions.

Enterprise Asset Management is evolving from administrative support towards intelligent, data-driven decision-making. Discover how modern EAM and CMMS systems, integrated data sources and AI capabilities contribute to more efficient maintenance processes. Explore how companies connect their asset information to continuously improve maintenance, reliability and asset performance.

Reliable and accessible asset data form the foundation of effective asset management and successful digital innovation. Discover how organisations address challenges related to data quality, data silos, system integration and information management. Learn how to turn technical documentation, maintenance histories and operational data into actionable insights that support better maintenance and investment decisions.

Risk-based asset management helps organisations set the right priorities and allocate available resources effectively. Discover how risk assessments, criticality analyses and inspection strategies contribute to safer and more reliable installations. Learn how companies manage technical risks, ageing infrastructure and operational uncertainties while avoiding unnecessary maintenance costs.

A well-defined maintenance strategy is essential for balancing reliability, availability and costs. Explore methodologies such as Reliability-Centred Maintenance (RCM), risk- and performance-based maintenance, and maintenance optimisation. Discover how organisations align their maintenance strategies with business objectives and turn improvement initiatives into sustainable operational results.

Successful maintenance is not just about technology, but also about people, collaboration and leadership. Discover how maintenance and asset management leaders prepare their teams for digitalisation, evolving skill requirements and new ways of working. Explore real-world experiences in change management, knowledge sharing, organisational development and building a culture of continuous improvement.

Organising maintenance across multiple sites presents specific challenges in terms of standardisation, collaboration and knowledge sharing. Discover how multi-site organisations develop consistent maintenance methodologies, optimise contractor management and use resources more efficiently. Learn how to achieve economies of scale while preserving the flexibility and autonomy of local maintenance teams.