Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The modern business world is driven by data ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...

Data serves as the foundational pillar for all sales and marketing endeavors, and the absence of first- and third-party insights would leave practitioners formulating campaigns and devising strategies ...

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 ...

Big data is often differentiated by the four V’s: velocity, veracity, volume and variety. Researchers assign various measures of importance to each of the metrics, sometimes treating them equally, ...

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 & ...

The processes used by the Bureau of Labor Statistics (BLS) to collect data for the jobs report have been under scrutiny after last week's disappointing jobs report, and one of the agency's former ...

Collectively, recreational fisheries can take a significant fraction of the yearly catch—in some cases more than commercial fisheries. It is important that systems used to monitor fishing catch are ...