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Category: geospatial

Why We Focus on Spatial Data Science

May 31, 2018July 2, 2021 marketing@xentity.com

[Originally posted in May 2013 – We’re finding this article content is as viable today as it was then, so […]

big-data, data-discovery, data-science, data-supply-chain, disruptive-technology, geospatial, innovation, knowledge, semantic-web

Xentity is awarded on $25M Forest Service National Geospatial Services IDIQ

November 13, 2017October 19, 2022 wiki@xentity.com

Xentity has been awarded a 5 year IDIQ for providing national data and geospatial support services to the U.S. Forest […]

contracting, data-supply-chain, earth-science, geospatial

Two Geospatial Architecture Issues With Cognitive Processing

December 15, 2016July 7, 2021 Matt Tricomi

Veracity Is Still Struggling To Support Integrated Information Products – We Need To Learn From These Challenges To Move To […]

architecture, big-data, data-discovery, disruptive-technology, geospatial

San Diego Tours as WebMaps

December 8, 2016July 7, 2021 Margaret Spyker

Story Maps in San Diego The most enjoyable thing about “Story Maps” becoming a popular tool in practice is watching […]

cloud, data-visualization, geospatial, open-data, web-services

Hot Topics from the 2016 International Data Week

September 18, 2016July 7, 2021 Margaret Spyker

International Data Week International Data Week was held in Denver during the week of September 11, 2016. A triumvirate of […]

crowd, data-science, earth-science, geospatial

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Recent Posts

  • Navigating Automation and AI: Comparing RPA, iPaaS, Microservices, and Advanced AI Integration
  • Accelerating the Integration of Supply Chain Management Concepts into Data Science and Data Management
  • Place-Based and Geospatial Business Cases: Maximizing Impact Across Data Themes and Services
  • Integrating MIS Platforms: Key Trends in Enterprise Service Management
  • Mastering Data Sprawl: Strategies to Tame the Digital Deluge

Recent Posts

  • Navigating Automation and AI: Comparing RPA, iPaaS, Microservices, and Advanced AI Integration
  • Accelerating the Integration of Supply Chain Management Concepts into Data Science and Data Management
  • Place-Based and Geospatial Business Cases: Maximizing Impact Across Data Themes and Services
  • Integrating MIS Platforms: Key Trends in Enterprise Service Management
  • Mastering Data Sprawl: Strategies to Tame the Digital Deluge

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