One of the biggest challenges in making AI projects a success is dealing with the requirements for data needed by machine learning systems. Machine learning systems work by generalizing learnings from ...

Overview Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale.Leading firms now combine ...

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 ...

Decision makers in fragile countries need quality data; obtaining such data is challenging. This book presents innovations, methodological as well as in data collection, to meet this challenge. The ...

The global data collection and labeling market size is expected to reach USD 17.10 billion by 2030, expanding at 28.9% CAGR from 2023 to 2030, according to a new report by Grand View Research, Inc.

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 ...

Tools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, ...

PLEASANTON, Calif., Aug. 12, 2025 /PRNewswire/ -- Veeva Systems (NYSE: VEEV) today announced findings from the 2025 Veeva MedTech Clinical Benchmark, showing that medtech clinical teams are focused on ...

The UK can blame its bad immigration data on Hungary, one of the eight countries which joined the European Union in 2004. Unlike most existing EU countries, the UK government allowed its citizens to ...

(Bloomberg) -- The US government shutdown threatens to erode the quality of one of the nation’s most important inflation statistics — if there even is a report at all. Policymakers, economists and ...