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spatial data
About this tag
Spatial data is central to geographic information systems (GIS) and geospatial intelligence, with recent discussions highlighting its integration with AI through the Esri and Microsoft partnership. The collaboration embeds Azure OpenAI Service into ArcGIS, enabling advanced spatial analysis and democratizing access to geospatial intelligence for urban planning, emergency response, and agriculture. Additionally, cloud data analytics platforms like Azure and Databricks are used to manage spatial data for conservation efforts, as seen in the RSWT and Simpson Associates partnership. For developers, SQL Server 2012 introduced performance improvements for spatial queries, such as nearest neighbor searches. These examples show spatial data's role in enterprise IT, AI, and cloud computing.
In a landmark move for both the geospatial and artificial intelligence communities, Esri’s partnership with Microsoft has ushered in a new era of advanced AI capabilities within the ArcGIS ecosystem. The integration of Microsoft Azure OpenAI Service into ArcGIS—Esri’s industry-leading geographic...
The integration of artificial intelligence (AI) and geospatial technology stands at a pivotal crossroads, promising to redefine how organizations and individuals interact with spatial data. Esri, recognized worldwide as the leading developer of geographic information system (GIS) software, has...
Driving a herd of rarely observed data scientists into the wild sounds like the opening for an IT sitcom, but it’s actually the heart of a game-changing initiative: Simpson Associates has teamed up with The Royal Society of Wildlife Trusts (RSWT) for a bold data transformation adventure. The...
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This demo shows you the types of queries that received a significant performance improvement when working with spatial data types in SQL Server 2012.
Dr Greg Low
SQL Server MVP and Microsoft RD
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