Session 11-E

Garbage In, Genius Out? The Crucial Role of Data Quality in Generative AI

As organizations increasingly adopt Generative AI (GenAI) technologies, the quality of input data determines the reliability and coherence of produced outputs. This session explores the crucial role of data quality and effective data management—especially concerning unstructured data—in optimizing GenAI implementations. We will examine how robust data management practices can transform unstructured data into high-quality inputs that drive successful AI-driven projects.

Grounded in real-world instances presented as mini case studies, attendees will gain actionable strategies to enhance data quality, resulting in more successful and impactful GenAI projects. Finally, we’ll discuss how to future-proof these strategies to ensure sustained success in an ever-evolving data landscape. This presentation aims to bridge the gap between data science and business needs, championing data quality as the cornerstone of effective GenAI deployment.

Speaker

Tobias Jaeckel

Co-founder and CTO, Shelf

Welcome to the CDOIQ Symposium, where innovation meets data excellence! Our symposium sponsors play a crucial role in shaping the future of data and information quality. As champions of cutting-edge technologies, thought leadership, and industry advancements, these forward-thinking organizations contribute to a dynamic ecosystem dedicated to harnessing the power of data for transformative business outcomes. Join us in recognizing and celebrating the invaluable support of our sponsors, who drive the conversation and inspire breakthroughs in the rapidly evolving landscape of Chief Data and Information Quality. Together, we pave the way for a data-driven future that propels organizations to unprecedented heights of success.