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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

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805121435

Length 50 pages

Edition 1st Edition

Concepts

Data Engineering

Author (1):

Andrew Jones

View More author details

Table of Contents (13) Chapters

1. Data Quality in the Age of AI

2. Executive summary FREE CHAPTER

Target audience

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

Why subscribe?

12. Other Books You May Enjoy

Packt is searching for authors like you

13. Bibliography

Bibliography

1 Informatica, January 31, 2024. “New Research from Informatica Reveals More Data Leaders Plan to Capitalize on Generative AI, but Data Quality Remains the Key Obstacle to Adoption.” https://www.informatica.com/about-us/news/news-releases/2024/01/20240131-new-research-from-informatica-reveals-more-data-leaders-plan-to-capitalize-on-generative-ai-but-data-quality-remains-the-key-obstacle-to-adoption.html

2 Datiku 2023. “AI, Today: Insights From 400 Senior AI Professionals on Generative AI, ROI, Tech Stack, & More.” https://content.dataiku.com/dataiku-databricks-survey

3 Twilio Segment, 2023. “The State of Personalization 2023.” https://segment.com/pdfs/State-of-Personalization-Report-Twilio-Segment-2023.pdf

4 Anaconda, 2022. “2022 State of Data Science.” https://www.anaconda.com/resources/whitepapers/state-of-data-science-report-2022

5 Jamie Galvin, June 21, 2022. “Unity Software: It’s...

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Authors (1)

Andrew Jones

Andrew Jones

Andrew Jones is a Principal Engineer, author, and a Google Developer Expert. He has over 15 years' 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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