Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

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, ...

Microsoft 365 Copilot and StatCrunch illustrate two contrasting approaches to working with data—AI-driven automation versus manual, menu-based statistical analysis. Copilot integrates across Excel, ...

This workshop will explore opportunities to use statistical and data-driven methods for additive manufacturing qualification, including approaches that enhance dimensional accuracy and recent advances ...

Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...

The lower the uncertainty in solar resource data, the lower the investment costs. IEA PVPS Task 16 has organized and published two benchmarks to make uncertainty of models and data comparable – a ...

This study will identify methods state and local decision makers can use to assess equity impacts of surface transportation investments. The study committee will identify and advise on opportunities ...