The challenge, opportunity, or topic being addressed:
\n\nMany nuclear organisations are testing AI and digital tools but results often stay stuck in small pilots. Common blockers include poor data quality, unclear ownership, weak links to day-to-day work, and lack of trust in outputs. The opportunity is to move from pilots to real deployment that improves safety, reliability, and performance.
\n\nThe approach, technology, process, or demonstration being discussed:
\n\nThis presentation explains how to utilise AI into practical operational tools. It covers high value use cases such as predictive maintenance, early warning of equipment issues, performance monitoring, and smarter planning using real data. It also explains the enabling foundations required to scale safely: data governance, clear rules for how models are used, human review where needed, and integration into existing maintenance and operations processes. The session also connects near term steps to a longer term “digital reactor” direction, including digital twins that act as a maintained, trusted digital view of plant configuration, condition, and performance.
\n\nThe primary value, lessons learned, or takeaways attendees will gain:
\n\nAttendees will learn where AI delivers real value now, what must be in place to scale it, and how to avoid common failure patterns. The key takeaway is a clear path from quick wins to sustainable digital operations, without compromising nuclear expectations for traceability and control.
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