Session 17-D

All Roads Lead Through Data Quality

Everything anyone attempts to do with data: from completing a customer order, to making an important decision, to training an AI model, depends on quality data. Today, data is simply not up to the task. This presentation explains how to address data quality: Adopting an approach of aggressively finding and fixing root causes of errors, building the people and organizational capabilities to do so, and using basic methods to complete the work. It features a detailed example from a financial services company. The last quarter of this presentation is devoted specifically to data quality for artificial intelligence.

Speaker

Tom redman

President, Data Quality Solutions

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.