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)

Bibliography

1 Informatica, January 31, 2024. “New Research from Informatica Reveals More Data Leaders Plan to Capitalize on Generative AI, but Data Quality Remains the Key Obstacle to Adoption.” https://www.informatica.com/about-us/news/news-releases/2024/01/20240131-new-research-from-informatica-reveals-more-data-leaders-plan-to-capitalize-on-generative-ai-but-data-quality-remains-the-key-obstacle-to-adoption.html

2 Datiku 2023. “AI, Today: Insights From 400 Senior AI Professionals on Generative AI, ROI, Tech Stack, & More.” https://content.dataiku.com/dataiku-databricks-survey

3 Twilio Segment, 2023. “The State of Personalization 2023.” https://segment.com/pdfs/State-of-Personalization-Report-Twilio-Segment-2023.pdf

4 Anaconda, 2022. “2022 State of Data Science.” https://www.anaconda.com/resources/whitepapers/state-of-data-science-report-2022

5 Jamie Galvin, June 21, 2022. “Unity Software: It’s...