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Category: crowd

Unveiling the Power Trio: Statistical Learning Meets Game Theory Meets Crowdsourcing

May 23, 2024 marketing@xentity.com

Unveiling the Power Trio: Statistical Learning Meets Game Theory Meets Crowdsourcing These 3 concepts have emerged as powerful tools in today’s data-driven […]

crowd, data-science, innovation, Thoughts, transformation

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

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

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

Go Code Colorado Recognized With A StateScoop 50 Award

June 10, 2014July 15, 2021 marketing@xentity.com

Colorado has done something quite innovative this year. It played a huge role in state and local government efficiency. An […]

crowd, data-supply-chain, innovation, open-data, transformation

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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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