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Forrester's Overview Of Machine Learning Data Catalogs

Now Tech: Machine Learning Data Catalogs, Q1 2018

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Enterprise Architecture (EA) professionals should use Forrester's Now Tech report to understand the value they can expect from an MLDC provider. EAs can use this information to select vendors based on functionality and role affinity.
  • Improve Data Value and Context with Machine Learning Data CatalogsMetadata management is reborn with contextual references and models to make data reliable and ready for activation.
  • Select Your Vendors Based on Functionality and Role AffinityScale MLDCs to match the processes for managing and using data across rational domains and roles in technology, governance, and analysis.
  • Use Machine Learning to Build Data Confidence and TrustCollaboration and tribal knowledge form the foundation for machine learning to instrument data at scale through data interaction.
ABOUT THE AUTHOR:

Michele-GoetzAs a Principal Analyst with Forrester Research, Michele Goetz serves enterprise architects, chief data officers, and business analysts trying to navigate the complexities of data while running an insight-driven business. Her research covers artificial intelligence technologies and consultancies, semantic technology, data management strategy, data governance, and data integration.

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