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Category: data-science

Colorado Chief Data Office Data Analytics Challenge

April 4, 2019July 1, 2021 marketing@xentity.com

What Is The CDO Data Analytics Challenge? 2018 marked the first year of the Chief Data Office’s (CDO) Colorado Data […]

data-science, knowledge, News

Data Patterns And Changes – New And Same Old

March 5, 2019July 2, 2021 marketing@xentity.com

End Users are demanding more Knowledge from Data Suppliers and their own systems, Data Suppliers must not only increase the […]

data-science

The Challenge of Perpetual Acceleration

June 1, 2018July 2, 2021 marketing@xentity.com

What Perpetual Acceleration Means to Geospatial Data In a recent article, “Why We Focus On Spatial Data Science”, we discussed, […]

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

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

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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