Artificial intelligence is transforming how organizations use information, make decisions, and shape processes. However, its full potential is only realized when it can support decisions in the physical world, because many of the most critical questions in business, government, and infrastructure are not only about what is happening, but also about where it is happening.

This is where GeoAI opens a new dimension of intelligent systems: It combines artificial intelligence with geographic understanding and makes spatial relationships, movement, networks, and patterns usable for analysis and decision-making.

The presentation shows how geography is becoming one of the most valuable contexts in modern AI and a critical factor in understanding complexity, acting with greater confidence, and shaping the physical world more intelligently.

Surveying has evolved beyond choosing the right sensor. As geospatial projects grow in scale and complexity, software is increasingly becoming the operational backbone of field-to-office workflows, connecting AI-enabled sensors, cloud-based collaboration, and fleet management into a coordinated geospatial ecosystem. This session explores how integrated software ecosystems impact a range of surveying applications and examines the emerging role of AI in supporting data capture, quality assurance, and project delivery.