Build Trust in Data Products through Evidence-Based Data Cataloging, Lineage, Compliance & Data Quality Improvements – Richard Adams, erwin, Inc.

Session Outline

Why do people instantly trust AI models and why should they? Is it a falsehood to do so or is there justification? In order for organizations to trust an AI model, there needs to be a foundation that upholds legally. And for the benefit of senior decision makers. The data architecture, compliance expectations, and levels of data quality need to be understood in one solution. This presentation at the Data Innovation Summit 2024 explains how this is possible!