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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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Table of Contents (13) Chapters Close

1. Data Quality in the Age of AI FREE CHAPTER
2. Executive summary 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

About the author

Andrew Jones is a Principal Engineer, author, and a Google Developer Expert. He has over 15 years of experience in the industry, with the first half primarily as a software engineer before moving into the data platform and data engineering space.

He thinks a lot about how to build platforms—particularly data platforms that drive the creation of business value. His work on building performant, efficient, and well-governed data platforms that facilitate the production and consumption of quality data led him to coining and defining data contracts, and in 2023 he authored the seminal book on the topic, Driving Data Quality with Data Contracts.

Andrew is a regular speaker and writer, and passionate about helping organizations get the most value from data.

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