Keynote, Location: Festaal B-D – Vienna Marriot Hotel

High data quality is the foundation of all insights and communication research.  In the world of AI, it’s not just "garbage-in, garbage-out,”  it’s also "bias in-bias out.”   Unstructured media, social and voice of customer data is notoriously noisy and volatile requiring organizations to take proactive steps to address.   For the last several months, AMEC has led an international workstream to establish Key Principles and recommended approaches designed to tackle unstructured data quality issues.  This effort iis in partnership with the Global Data Quality Initiative, a consortium of leading market research industry organizations focused on addressing the ongoing and emerging risks to data quality in the market and social research, consumer insights, and analytics industry.  This session will review current challenges, new approaches and provide a critical  overview of these key principles to help ensure your data is "research and AI ready”.