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Category: data-science

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

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

I Always Wanted To Be A Data Janitor

August 19, 2014July 14, 2021 marketing@xentity.com

First, What Is Data Wrangling? Data wrangling is the process of transforming and mapping data from one “raw” data format […]

data-science, data-supply-chain, open-data

GeoData 2014 Post-Mortem

June 20, 2014July 14, 2021 marketing@xentity.com

GeoData 2014 is a workshop series which supports the EarthCube community of federal/civil agencies, such as the DoE, EPA, NASA, […]

data-science, geospatial

Future Map for Neuro Technology and Five Other Areas

April 24, 2014July 16, 2021 marketing@xentity.com

Recently, we tweeted a ‘harumph’ for Geekwire’s article on First, we kill all the ‘futurists’. Then the Policy Horizons Canada […]

data-science, disruptive-technology, next-generation

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  • From Months to Momentum: Xentity’s AI-Driven Strategy for Faster Data Program Transformation
  • Beyond the Map: Charting the Future with Geospatial AI
  • 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

Recent Posts

  • From Months to Momentum: Xentity’s AI-Driven Strategy for Faster Data Program Transformation
  • Beyond the Map: Charting the Future with Geospatial AI
  • 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

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