Industrial teams are surrounded by data, yet often struggle to turn it into clear, confident decisions. In this session, Visco focused on why the issue is not a lack of information, but how that information is presented and understood in the context of real work.
Visco argued that visualisation should do more than display data. For engineers and technicians working in complex assets, understanding location, access, and physical relationships matters far more than charts or tables. Relying on flat drawings and generic viewers forces people to interpret risk and plan work with limited context, increasing uncertainty before they ever reach the field.
By placing data inside a navigable, spatial view of the asset, Visco showed how teams can prepare work before it happens. Routes can be planned, tasks rehearsed, and relevant documents surfaced exactly where they are needed. The result is less time searching for information, fewer surprises on site, and greater confidence in execution.
The session also looked ahead to the role AI can play once strong visual foundations are in place. From highlighting areas of concern to supporting predictive maintenance and planning, AI becomes far more useful when its outputs are anchored in a visual environment people already trust. Visco’s message was clear: when data, AI, and visualisation work together, insight becomes easier to act on and safer to rely upon.
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