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Category: Thoughts

Top 10 Architecture Leadership Roles to Consider at The Different Architect Levels

April 1, 2021January 31, 2024 marketing@xentity.com

These are some common mistakes for growing architects when working in the various levels of architecture. Without further adieu, here […]

agile, architecture, innovation, Thoughts, transformation

How Data Science Changed Through Decades of Sports

March 11, 2021June 29, 2021 marketing@xentity.com

Sports Join the Ranks of Leading Data Science Gone are the days of jocks and nerds living in two different […]

data-science, innovation, next-generation, Thoughts

Are Supercomputers Really That Super?

January 19, 2021January 31, 2024 marketing@xentity.com

The Human Brain Is No Longer The Fastest Computer In The World – What Does That Mean? Computers are fast […]

big-data, data-science, high-performance-computing, Thoughts

Using Portfolio Concepts to Deal With Changing Data Solutions

December 10, 2020June 29, 2021 marketing@xentity.com

How would you like it if your tools changed every two years? In 2018, the construction sector employed almost 11.2 […]

data-science, knowledge, Thoughts

Computer Science and Library Science – Can we get along?

November 12, 2020January 31, 2024 marketing@xentity.com

Computer Science and Library Science got Hitched in the 1960s Data Management and Metadata Library Science experts started us down the path in the 1960s […]

Thoughts

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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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