Gartner Research

Enabling Data Quality for Machine Learning and Artificial Intelligence

Published: 22 August 2018

ID: G00355685

Analyst(s): Thornton Craig , Soyeb Barot

Summary

ML processes and deployed AI models are less effective due to poor data quality caused by disparate datasets, altered raw data and stringent data governance practices. Technical professionals must enhance data quality pipelines to support ML and AI systems.

Table Of Contents

Analysis

  • Classical Data Quality Systems
  • Challenges of Data Quality for Machine Learning and Artificial Intelligence
    • Data Quality for Artificial Intelligence
    • Data Quality for Machine Learning
    • Data Quality in the Machine Learning Process
    • Data Governance Impact on Machine Learning and Artificial Intelligence
  • Optimize Data Quality Workflows
  • Implement Data Quality Support for Machine Learning and Artificial Intelligence
  • Balance Data Governance, Compliance and Agility

Conclusion

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