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Category: innovation

How “Serverless Data Pipelines” Create More Efficient Data Delivery

July 2, 2019July 1, 2021 marketing@xentity.com

“Serverless data pipelines” are a relatively new concept, but they have quickly become popular for providing a more efficient method […]

data-supply-chain, innovation

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

The Need For And Challenges Of Open Data

October 18, 2016July 7, 2021 Margaret Spyker

The Need for and Challenges of Open Data For many people working in research or trying to build a business, […]

crowd, innovation, open-data

World War II Changed the US Approach to Architecture

September 1, 2016January 31, 2024 wiki@xentity.com

Introduction – A Quick History Lesson Let’s take the short and hopefully not revisionist view of post-World War II US […]

architecture, change-agents, innovation, next-generation, smart-cities

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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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