With ten years of experience in digital data acquisition, Maximilian Reitzel bridges innovation and practice in rail infrastructure as head of ...

Esri’s AI framework comprises two strands. GeoAI applies machine learning and deep learning to spatial problems and is mature and widely used, excelling at extracting features from imagery and ...

No audio available for this content. Geoinformation has evolved from a specialist tool to an essential resource for government, business and civilian use. Whether captured from space or drones, ...

Ops, Essential for Mosaic Warfare” at DEFSAT 2026 highlighted a critical shift underway in how geospatial systems are being ...

Debate and discussion around data management, analytics, BI and information governance. Working across infrastructure and geospatial technology, you have a front row seat to what effective digital ...

Together, Render and mPower are establishing a shared construction-to-operations data foundation that ensures validated construction data flows cleanly into the operational systems utilities and ...

Geospatial Information Systems (GIS) have transformed the way we capture, store, and analyse spatial data by integrating methods from computer science, statistics and geography. Central to GIS is the ...

India is accelerating its efforts to build domestic geospatial and space-data infrastructure as policymakers and industry leaders warned that rising demand for satellite information, digital public ...

For 10 years, Temple University’s Geographic Information Systems program has turned spatial analysis into careers in planning, public service, climate work and more.