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Data Quality in the Age of AI
Data Quality in the Age of AI

Data Quality in the Age of AI: Building a foundation for AI strategy and data culture

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Profile Icon Andrew Jones
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Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (1 Ratings)
Paperback Aug 2024 50 pages 1st Edition
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Arrow left icon
Profile Icon Andrew Jones
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Free Trial
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (1 Ratings)
Paperback Aug 2024 50 pages 1st Edition
eBook
Can$52.99 Can$75.99
Paperback
Can$94.99
Subscription
Free Trial
eBook
Can$52.99 Can$75.99
Paperback
Can$94.99
Subscription
Free Trial

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Data Quality in the Age of AI

Data Quality in the Age of AI

Copyright © 2024 Packt Publishing. All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author(s), nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publisher: Vishal Bodwani

Product Manager: Sathya Mohan

Lead Development Editors: Siddhant Jain and Oorja Mishra

Development Editor: Afzal Shaikh

Copy Editor: Safis Editing

Proofreader: Safis Editing

Project Coordinator: Yash Basil

Production Designer: Deepak Chavan

First published: May 2024

Production reference: 1300724

Published by Packt Publishing Ltd.

Grosvenor House, 11 St Paul’s Square, Birmingham, B3 1RB

ISBN 978-1-80512-143-5

www.packt.com

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Key benefits

  • 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

Description

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 01, 2024
Length: 50 pages
Edition : 1st
Language : English
ISBN-13 : 9781805121435
Category :

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Product Details

Publication date : Aug 01, 2024
Length: 50 pages
Edition : 1st
Language : English
ISBN-13 : 9781805121435
Category :

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Table of Contents

13 Chapters
Data Quality in the Age of AI Chevron down icon Chevron up icon
Executive summary Chevron down icon Chevron up icon
Understanding data quality Chevron down icon Chevron up icon
Unlocking AI’s potential with data Chevron down icon Chevron up icon
Improving data quality at the source Chevron down icon Chevron up icon
Case studies: Positive impact of data quality Chevron down icon Chevron up icon
Cultivating a data culture that values quality Chevron down icon Chevron up icon
Conclusion: Embracing a quality-driven data culture Chevron down icon Chevron up icon
About the author Chevron down icon Chevron up icon
About the technical reviewers Chevron down icon Chevron up icon
Additional reading Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Bibliography Chevron down icon Chevron up icon

Customer reviews

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Brian Oct 26, 2024
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Somewhat light in content. The main axes to consider are clearly laid out, but lots of details or complexities of implementation are not presented, even in the case studies.
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