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Category: data-discovery

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

Presented: Knowledge, Information, and Data Architecture Implementations at Transportation Research Board Annual Meeting (TRB)

January 8, 2017July 6, 2021 Jim Barrett

Knowledge, Information, and Data Architecture Implementations As part of a Transportation Resource Board (TRB) annual meeting, Xentity Architect Jim Barrett […]

architecture, data-discovery, data-supply-chain, it-performance, transformation

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

EarthCube Architecture Implementation Planning is Underway

September 2, 2016July 7, 2021 wiki@xentity.com

EarthCube Architecture Implementation Planning View Original Article The National Science Foundation (NSF) has tasked the EarthCube Science Support Office (ESSO) […]

architecture, big-data, data-discovery, data-science, data-supply-chain, data-visualization, earth-science, geospatial, solution-architecture

Can A Predictable Supply Chain For Geospatial Data Be Done?

February 20, 2016July 9, 2021 marketing@xentity.com

Creating Predictability In The Government’s Geospatial Data Supply Chain… This article expands upon the presentation on What does geodata.gov mean […]

crowd, data-discovery, data-supply-chain, 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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