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Data Quality in the Age of AI
By :
Data Quality in the Age of AI
By:
Overview of this book
As organizations worldwide seek to revamp their data strategies to leverage AI advancements and benefit from newfound capabilities, data quality emerges as the cornerstone for success. Without high-quality data, even the most advanced AI models falter. Enter Data Quality in the Age of AI, a detailed report that illuminates the crucial role of data quality in shaping effective data strategies.
Packed with actionable insights, this report highlights the critical role of data quality in your overall data strategy. It equips teams and organizations with the knowledge and tools to thrive in the evolving AI landscape, serving as a roadmap for harnessing the power of data quality, enabling them to unlock their data's full potential, leading to improved performance, reduced costs, increased revenue, and informed strategic decisions.
Table of Contents (13 chapters)
Executive summary
Understanding data quality
Unlocking AI’s potential with data
Improving data quality at the source
Case studies: Positive impact of data quality
Cultivating a data culture that values quality
Conclusion: Embracing a quality-driven data culture
About the author
About the technical reviewers
Additional reading
Other Books You May Enjoy
Bibliography
Customer Reviews
