How to establish a trusted data foundation for AI

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A trusted data foundation is vital for AI success. This white paper presents 6 principles for AI-ready data, including:

  • Ensure diversity to minimize AI bias
  • Maintain timeliness with rapid-update pipelines
  • Guarantee accuracy through data profiling, remediation, and lineage analysis
  • Enhance security with data classification, protection, and access policies
  • And 2 more

The paper also introduces the AI Trust Score - a tool you can leverage to measure your data's adherence to these principles. For further details on creating an AI-ready data foundation, read the full white paper now.

Vendor:
Qlik
Posted:
Jul 30, 2024
Published:
Aug 5, 2024
Format:
PDF
Type:
White Paper
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