The foundation of any successful AI model lies in the quality and abundance of data. Yet even with breakthroughs in AI algorithms such as GPT-4, Anthropic and Mistral, organizations often struggle ...

The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...

Presenters from CMS and the CDC explored the importance of standardizing health equity data collection at the 2024 CMS Health Equity Conference. Meagan Khau, MHA, director of the Data Analytics & ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...