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, ...

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

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 ...

Federal civilian agencies are operating at a critical inflection point. The public expects faster, smarter, and more transparent services, while agencies face pressure to deliver under tightening ...

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