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)

Understanding data quality

Organizations everywhere are looking to refresh their data strategies to take advantage of the recent advances in AI and position themselves to capitalize on the newly available capabilities. However, no matter how advanced AI models get, they’ll rely on quality data to be effective. New research from Informatica concluded that 42% of data leaders cite data quality as their top obstacle, while 40% highlight data privacy and governance, and 38% point to AI ethics as significant challenges.1

The quality of your data is not going to improve without a strategy that clearly articulates why doing so is critical for your organization to achieve its AI goals. This report gives you everything you need to clearly articulate why you need to focus on the quality of your data as a key part of your overall data strategy. You will also discover some direct and applicable actions you can take to make data quality the foundation of your data culture.

After...