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Data Quality in the Age of AI

You're reading from   Data Quality in the Age of AI Building a foundation for AI strategy and data culture

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805121435
Length 50 pages
Edition 1st Edition
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Author (1):
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Andrew Jones Andrew Jones
Author Profile Icon Andrew Jones
Andrew Jones
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Toc

Table of Contents (13) Chapters Close

1. Data Quality in the Age of AI
2. Executive summary FREE CHAPTER 3. Understanding data quality 4. Unlocking AI’s potential with data 5. Improving data quality at the source 6. Case studies: Positive impact of data quality 7. Cultivating a data culture that values quality 8. Conclusion: Embracing a quality-driven data culture
9. About the author
10. About the technical reviewers
11. Additional reading 12. Other Books You May Enjoy 13. Bibliography

Cultivating a data culture that values quality

Cultivating a data culture that uses quality data to drive business value requires ongoing investment. This might involve implementing initiatives to shift attitudes or recognizing teams that demonstrate desired behaviors.

Let’s explore four key areas for integrating data quality into your organization’s data culture:

  • Adopting a product mindset
  • Prioritizing quality over quantity
  • Assigning roles and responsibilities
  • Embedding data governance
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