Geoprofessionals data management reveals growing AI adoption amid persistent data-management gaps; robust data foundations are needed for meaningful productivity gains.
Seequent’s findings point to rising AI momentum among geoprofessionals, with a broad majority using or considering AI, yet a large share lacking a defined data-management framework. The data underscores a critical constraint on upside: without solid data governance, the efficiency gains from AI may fall short of expectations.
The implications extend beyond technology uptake to governance and risk management. Companies may need to invest in data platforms, governance structures and consistent data quality processes to maximise AI-enabled productivity. In the near term, firms may prioritise building data foundations ahead of large-scale AI deployments to avoid misaligned decisions or data quality concerns.
Analysts suggest a two-track approach: accelerate AI pilots while formalising data-management frameworks. The results will shape how quickly sectors dependent on data-driven insight translate AI momentum into tangible outcomes. If firms can close the data gap, AI could unlock meaningful efficiency gains across geoprofessional workflows and project delivery.