It’s AI Jim, but not as we know it. The first generation of the AI revolution has delivered some well-worn paths in advancing the science of condition monitoring, improving our ability to diagnose, predict and track asset health. But the delivery of real outcomes from this has been patchy. For every Rolls Royce there are half a dozen tales of woe. A thousand seeds never germinating. Promises stuck in pilot purgatory. Ivory tower technology teams that never made it into the field, working on problems that nobody cares about, while site teams continue to trudge through a wasteland of broken SAP forms and unmanaged master data.

The opportunity: the next generation of AI technologies will continue to transform what is possible. Agents and GPT-type AI models offer the potential to extend the art of the possible from narrow analytical and predictive tasks into the flexible automation of the broader asset management workflow. Our challenge: driving the asset management transformation required to deliver on this promise will grow increasingly complex, as the range of skills, technologies and teams required to deliver measurable outcomes grows increasingly diverse.

In this session we will take you through the promise of AI 2.0, the potential for the frontier of asset management and explore some examples and lessons learned in delivering these outcomes in the field from two and a half years within Fortescue.