Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    From $11.99/month after trial. Cancel anytime.

    Data Quality in the Age of AI: Building a foundation for AI strategy and data culture
    Data Quality in the Age of AI: Building a foundation for AI strategy and data culture
    Data Quality in the Age of AI: Building a foundation for AI strategy and data culture
    Ebook68 pages31 minutes

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

    By Andrew Jones

    ()

    Read preview

    About this ebook

    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.

    LanguageEnglish
    PublisherPackt Publishing
    Release dateAug 1, 2024
    ISBN9781835088562
    Data Quality in the Age of AI: Building a foundation for AI strategy and data culture
    Author

    Andrew Jones

    Dr. Andrew Jones is a digital forensic and information security researcher and academic and has developed several tools and processes for the efficient and effective recovery of data from a range of devices. He has also participated and led a number of forensic investigations for criminal and civil cases. Andrew has been involved in several information security projects for the Government Communications Electronic Security Group (CESG), the Office of the E-Envoy, the police and a defense contractor. He acted as the technical advisor for the then National Crime Squad Data Acquisition and Recovery Team and he is currently on the committees for five information security and computer forensic conferences. He also sat on two working groups of the governments Central Sponsor for Information Assurance National Information Assurance Forum. He holds posts as an adjunct professor at Edith Cowan University in Perth, Australia and the University of South Australia in Adelaide. He has authored six books in the areas of Information Warfare, Information Security and Digital Forensics, including co-authoring Digital Forensics Processing and Procedures, First Edition.

    Read more from Andrew Jones

    Related to Data Quality in the Age of AI

    Related ebooks

    Data Modeling & Design For You

    View More
    View More

    Related podcast episodes

    Related articles

    • UNLIMITED

      Leadership Forum: Making Digital Transformation A Reality

      Jan 1, 2018

      Glenda Crisp Senior Vice President and Chief Data Officer, TD Bank Group + Connie Bonello Associate Partner, Financial Services, IBM Canada IN MOST OF TODAY’S ORGANIZATIONS, data underpins every transaction, operation and interaction. And yet, the ab

      8 min read

    • UNLIMITED

      The Data-Empowered Organization

      Sep 1, 2022

      A FEW YEARS BACK, the media was full of articles about how Big Data would solve a perrennial challenge: gaining valuable customer insights. Today, it is everywhere because of the growth of devices recording data and the connectivity between those dev

      6 min read

    • UNLIMITED

      Q&A

      May 1, 2023

      Describe the capability that companies like Netflix, UPS, Amazon and Caesars Entertainment have in common. These are all leading firms in their industries with respect to leveraging analytics as a source of competitive advantage. We now have so much

      7 min read

    • UNLIMITED

      Waking Up To Data Quality

      May 22, 2018

      Waking Up To Data Quality
      8 min read

    • UNLIMITED

      The Democratization of Judgment

      Jan 1, 2018

      The Democratization of Judgment
      8 min read

    • UNLIMITED

      Cognitive Enterprise

      Dec 1, 2021

      Cognitive Enterprise
      6 min read

    • UNLIMITED

      Why Your Organisation Needs To Lift Its Data Game

      Oct 22, 2019

      From problems stemming from the recent New Zealand census to data collected by Facebook, data has been in the news a lot lately. It may seem obvious that large organisations such as Statistics New Zealand and Facebook need to continually improve thei

      3 min read

    • UNLIMITED

      Are You Data Rich?

      May 27, 2022

      Are You Data Rich?
      5 min read

    • UNLIMITED

      Analytics Adolescent Or Mature Metrics Master?

      Jun 25, 2020

      An analytics company that specialise in advanced web analytics, Absolute Analytics, operates on the premise that every business has the right to actionable data and measurable results. From audit stage and set-up to training and reporting, these Alph

      4 min read

    • UNLIMITED

      Charting A New Path for Your Organization: The 4Ps

      Sep 1, 2020

      WHERE DO WE GO FROM HERE? That is the question being asked by just about everyone, everywhere. With the onset of the COVID-19 pandemic, business priorities immediately shifted from ‘how will we grow?’ to ‘how will we survive?’ As our medical and gove

      6 min read

    • UNLIMITED

      Data In A Digital World

      Sep 23, 2019

      Data In A Digital World
      3 min read

    • UNLIMITED

      Further Insights

      Jun 9, 2021

      From our survey, marketers tell us there is a will to invest in tools to strengthen their analytics measurement and automation. But with challenges in user capabilities and know-how as well as a lack of human resources to deploy such MarTech how can

      4 min read

    • UNLIMITED

      Pivoting To First-party Data

      Jun 9, 2021

      Pivoting To First-party Data
      5 min read

    Related categories

    Reviews for Data Quality in the Age of AI

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      Data Quality in the Age of AI - Andrew Jones

      Cover.png

      Contents

      Data Quality in the Age of AI

      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

      Embedding data governance

      Conclusion: Embracing a quality-driven data culture

      About the author

      About the technical reviewers

      Additional reading

      Why subscribe?

      Other Books You May Enjoy

      Packt is searching for authors like you

      Bibliography

      Landmarks

      Cover

      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

      Executive summary

      Organizations worldwide are eager to capitalize on recent advancements in AI and harness its newly available capabilities. However, even the most sophisticated models require high-quality data to be effective. This report provides practical and actionable steps to enhance your data quality, a crucial factor in the age of AI.

      This definitive resource delves into the following key areas:

      Understanding data quality: Learn to define, assess, and measure your data quality, providing a clear view of your current state and areas for improvement.

      Improving data quality at source: Gain practical advice for enhancing data quality during its creation, where it is most cost-effective

      Enjoying the preview?
      Page 1 of 1