The framework covers governance, accountability, transparency, bias mitigation, and risk assessment throughout an AI system’s ...

Computed tomography (CT) is an important diagnostic tool in clinical practice, widely used for disease screening and diagnosis. However, CT scans ...

In rapidly growing cities like Tokyo, incorporating greenery is a challenging task. With limited space for trees or parks, ...

The strategic update for health and care leaders. This issue of The Month is also available to download as a PDF.

According to the study, 46% of financial services leaders rank improving data quality and accuracy as their top priority, and 38% say it’s their biggest challenge. The report shows that scaling AI ...

Saptaparna Gupta's Data Quality Control Assessment (DQCA) proactively embeds quality checks into financial workflows, ...

Ultimately, executive dashboards aren’t just about flashy visuals or faster reporting—they fundamentally change how ...

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

A modern DataOps strategy should prioritize five core DataOps capabilities: data pipeline orchestration, data pipeline ...

Enhancing the development quality of new agricultural business entities is crucial for advancing agricultural modernization and achieving rural revitalization, while alleviating credit constraints is ...

Traditional search engines rely on countless ranking signals to deliver the most relevant answers to users. In the age of AI, signals appear to be simpler – at least for now. Court documents from ...