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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

About the technical reviewers

Deepak Bhardwaj

Deepak is a seasoned data mesh and MLOps leader, who is adept at designing cutting-edge data platforms. He champions a decentralized approach, fostering autonomous data teams and empowering organizations to unlock their data assets. Currently leading a data mesh-based platform, Deepak collaborates on structure, governance, and lifecycles for enhanced team autonomy. Specializing in MLOps, he optimizes platforms for the entire machine learning lifecycle, emphasizing cloud-native technologies.

Piotr Czarnas

Piotr, recognized as one of the “Top Data Quality voices on LinkedIn,” serves as the CEO of DQOps, a leading data quality monitoring company. With over 20 years of expertise in the field, he is a seasoned professional dedicated to addressing data quality challenges. Piotr’s leadership has been instrumental in steering his company towards excellence, providing robust solutions for monitoring and enhancing data...

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