Book Image

Data Quality in the Age of AI

By : Andrew Jones
Book Image

Data Quality in the Age of AI

By: Andrew Jones

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

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 and impactful.
  • Case studies: Explore real-world examples that demonstrate the significant positive impact of focusing on data quality within organizations.
  • A culture that values quality: Foster a data culture that prioritizes quality, treats data as a product, and embeds data...