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Category: Thoughts

How Do We Gain Data Scientists Trust In The Data

October 1, 2020June 29, 2021 marketing@xentity.com

The Divide Between Scientists and Data Providers Trusting a person you have never met or an organization you have never […]

data-discovery, data-science, knowledge, Thoughts

Different Ways Industries Are Using Artificial Intelligence

September 18, 2020June 29, 2021 marketing@xentity.com

Narrow AI Is Currently In Work Where It Has Enough Semblance Of The 4 V’s To Move Us Forward. Here […]

innovation, knowledge, Thoughts

AI Ain’t Taking Over the World Yet, So They Want You to Think

September 11, 2020June 29, 2021 marketing@xentity.com

The AI of the movies and books is here, right? The Artificial Intelligence AI sci-fi world paints amazing, and sometimes […]

innovation, knowledge, Thoughts

How Data Supply Chains Support Data Ecosystems For Datasets

July 30, 2020January 31, 2024 marketing@xentity.com

At Xentity, we love data and love to espouse its massive importance in the operations of companies and organizations everywhere. […]

data-discovery, data-science, data-supply-chain, geospatial, knowledge, Thoughts

The Various Roles Found in the Data Lifecycle

June 29, 2020January 31, 2024 marketing@xentity.com

The Various Roles That Act as Both a Checkpoint and a Helper Throughout the Lifecycle In data analysis and consulting, […]

data-discovery, data-science, data-visualization, 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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