Data Quality in the Age of AI Building a Foundation for AI Strategy and Data Culture

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Published
Birmingham : Packt Publishing, Limited, 2024.
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Available Online

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Language
English
ISBN
9781835088562, 1835088562

Notes

General Note
Description based upon print version of record.
Description
Unlock the power of data with expert insights to enhance data quality, maximizing the potential of AI, and establishing a data-centric culture Key Features Gain a profound understanding of the interplay between data quality and AI Explore strategies to improve data quality with practical implementation and real-world results Acquire the skills to measure and evaluate data quality, empowering data-driven decisions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs 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. What you will learn Discover actionable steps to establish data quality as the foundation of your data culture Enhance data quality directly at its source with effective strategies and best practices Elevate data quality standards and enhance data literacy within your organization Identify and measure data quality within the dataset Adopt a product mindset to address data quality challenges Explore emerging architectural patterns like data mesh and data contracts Assign roles, responsibilities, and incentives for data generators Gain insights from real-world case studies Who this book is for This report is for data leaders and decision-makers, including CTOs, CIOs, CISOs, CPOs, and CEOs responsible for shaping their organization's data strategy to maximize data value, especially those interested in harnessing recent AI advancements.
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O'Reilly O'Reilly Online Learning: Academic/Public Library Edition

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Citations

APA Citation, 7th Edition (style guide)

Jones, A. (2024). Data Quality in the Age of AI: Building a Foundation for AI Strategy and Data Culture . Packt Publishing, Limited.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Jones, Andrew. 2024. Data Quality in the Age of AI: Building a Foundation for AI Strategy and Data Culture. Birmingham: Packt Publishing, Limited.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Jones, Andrew. Data Quality in the Age of AI: Building a Foundation for AI Strategy and Data Culture Birmingham: Packt Publishing, Limited, 2024.

Harvard Citation (style guide)

Jones, A. (2024). Data quality in the age of AI: building a foundation for AI strategy and data culture. Birmingham: Packt Publishing, Limited.

MLA Citation, 9th Edition (style guide)

Jones, Andrew. Data Quality in the Age of AI: Building a Foundation for AI Strategy and Data Culture Packt Publishing, Limited, 2024.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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21d2afe9-df38-8863-ef6b-f87d28fc6a1d-eng
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Grouped Work ID21d2afe9-df38-8863-ef6b-f87d28fc6a1d-eng
Full titledata quality in the age of ai building a foundation for ai strategy and data culture
Authorjones andrew
Grouping Categorybook
Last Update2025-02-23 03:27:58AM
Last Indexed2025-05-22 03:06:48AM

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Last UsedMar 16, 2025

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First DetectedDec 16, 2024 11:30:15 PM
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5050 |a Intro -- Executive summary -- Target audience -- Understanding data quality -- Defining data quality -- Assessing data quality -- Unlocking AI's potential with data -- High cost of poor data quality -- Measuring the quality of your data -- Improving data quality at the source -- Incentivizing data producers -- Decentralizing your data: Quality by design -- Case studies: Positive impact of data quality -- DoorDash -- Checkout.com -- Cultivating a data culture that values quality -- Adopting a product mindset -- Prioritizing quality over quantity -- Assigning roles and responsibilities
5058 |a Embedding data governance -- Conclusion: Embracing a quality-driven data culture -- About the author -- About the technical reviewers -- Additional reading -- Bibliography
520 |a Unlock the power of data with expert insights to enhance data quality, maximizing the potential of AI, and establishing a data-centric culture Key Features Gain a profound understanding of the interplay between data quality and AI Explore strategies to improve data quality with practical implementation and real-world results Acquire the skills to measure and evaluate data quality, empowering data-driven decisions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs 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. What you will learn Discover actionable steps to establish data quality as the foundation of your data culture Enhance data quality directly at its source with effective strategies and best practices Elevate data quality standards and enhance data literacy within your organization Identify and measure data quality within the dataset Adopt a product mindset to address data quality challenges Explore emerging architectural patterns like data mesh and data contracts Assign roles, responsibilities, and incentives for data generators Gain insights from real-world case studies Who this book is for This report is for data leaders and decision-makers, including CTOs, CIOs, CISOs, CPOs, and CEOs responsible for shaping their organization's data strategy to maximize data value, especially those interested in harnessing recent AI advancements.
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