Technical Terms Approximate Query Processing (AQP): A technique for retrieving near-exact query results from large datasets using data summarisation and sampling methods.

Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable ...

Julius is designed to act like a data scientist by analyzing and visualizing extensive datasets and then performing ...

Julius, an AI-powered tool used at Harvard Business School, turns natural language queries into instant charts and insights.

Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

The article "Checklist for designing and improving the visualization of scientific data" offers a low-threshold, user-friendly guide for creating clear data visualizations.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Meteorologists are losing a sophisticated tool that has proved invaluable when monitoring and forecasting hurricanes.

Unlike creative AI applications where subjective results are acceptable, mortgage document processing requires precise extraction of specific data points with verifiable accuracy.

Concentration polarization of ion-exchange membranes in electrodialysis units limits operational current densities to the underlimiting regime, preventing process intensification by simply increasing ...