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For Enterprise Architecture Professionals

Reclaim Your Semantic Desert To Monetize Your Data

Use Machine Learning Data Catalogs To Automate Semantics At Scale

September 7, 2018

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Why Read This Report

Data management has relied heavily on the logical and physical aspects of data and systems. The result? Rigid, brittle systems that don't support multiple use cases or adapt quickly to new business scenarios. Adding semantics to the data equation means data isn't stuck waiting to be monetized from the lake — it is ready for activation in the digital business. This report breaks down how data and information architects can hydrate the semantic desert and invest in technology that ensures data lake and big data fabric investments achieve intended business outcomes.

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Table of Contents

  • Semantic Deserts Make Data Impossible To Understand
  • Machine Learning Data Catalogs Automate Semantics At Scale
  • What It Means

  • Machine Learning Data Catalogs Evolve Into Systems Of Insight
  • Supplemental Material
  • Related Research Documents

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