AMEC Joins the Global Data Quality Initiative to Address Unstructured Data Quality Challenges
Summary
A new AMEC-led workstream comes at a time when unstructured data continues its exponential growth and has a significant impact on the development and evolution of social and media analysis, brand and reputation tracking, and trend discovery as well as generative AI and LLMs. The new workstream will address key factors contributing to quality challenges including human bias, inconsistent definitions, the lack of clear benchmarks and guidelines, as well as a general absence of rigorous measurement and performance tracking. "We believe we have an obligation to get the data right to accurately reflect the opinions of consumers and other key stakeholders in a trusted manner that also aligns with growing AI-related standards and regulations. "AMEC has a long-standing history of leadership in establishing key frameworks designed to elevate media and social analysis, such as the Barcelona Principles. We look forward to collaborating not just with current members of the GDQ but also with other peer organizations in social and media evaluation analysis on this important mission."