ChatGPT, Google Gemini and other AI models are using your data for training - here's how to stop it. How-to. By Alex Hughes published 11 April 2025 ...

Technological developments in data collection and analysis include the use of geographic information systems (GIS) and imagery analysis, crowdsourcing, and mobile technology (see Box 1). These new ...

From The Dominance Of Centralization To Decentralization Made Possible. Traditionally, centralized data collection involves gathering data from various sources—such as apps, devices, or websites ...

Neuenfeldt: We’re working with data standards like CIM (Common Information Model) 61 970, 301 for normalization and alignment, and the emerging 61 850 standard for smart grids. The goal is to ...

At each stage of the AI journey – data and metadata is created and added to. This will require more and more infrastructure to support the development of future AI. Data Science as-a-Service is what ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...

Data collection may also be more systematic, such as analyzing student evaluations or grades. Regardless of the data used, or how it is used, it is best to develop a cohesive plan to ensure that you ...