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)

Cultivating a data culture that values quality

Cultivating a data culture that uses quality data to drive business value requires ongoing investment. This might involve implementing initiatives to shift attitudes or recognizing teams that demonstrate desired behaviors.

Let’s explore four key areas for integrating data quality into your organization’s data culture:

  • Adopting a product mindset
  • Prioritizing quality over quantity
  • Assigning roles and responsibilities
  • Embedding data governance