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 ...

Geospatial data infrastructure (GDI) and workflow management are pivotal components in modern spatial analysis, underpinning efforts to collect, mobilise, process and disseminate geospatial ...

Wherobots and Felt have entered a strategic partnership aimed at modernizing the geospatial data stack. The integration combines Wherobots’ spatial intelligence lakehouse and compute engine with ...

Wan Chai, HK, Feb. 24, 2026 (GLOBE NEWSWIRE) -- Looper Robotics is gearing up for the global launch of Insight9, the world’s ...

Accessing authoritative geographic information across Europe has traditionally required navigating a patchwork of national portals, each governed by distinct technical standards and data structures.

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 ...

Finance minister Nirmala Sitharaman said that the government will set up a National Geospatial Mission to develop foundational geospatial infrastructure and data The government will use PM Gati Shakti ...

Forbes contributors publish independent expert analyses and insights. A former tech executive covering AI, XR and The Metaverse for Forbes. Spatial Design, Breaking the 2D Paradigm, a new book by ...

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