Niti Aayog's report has highlighted the critical need for improved data quality to strengthen digital governance and foster ...

Bucharest is facing growing environmental challenges, with traffic-related air pollution, shrinking green spaces, and worsening climate impacts threatening the health and well-being of its residents, ...

As interest in DNA methylation continues to grow across both basic and translational research, there is a pressing need for ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

“The truthfulness or reliability of the data, which refers to the data quality and the data value. Big data must not only be ...

How do you know if the water you are swimming in is safe? Here are several places you can check local water sampling results.

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ethical oversight is essential for building trustworthy, high-performing AI.

Poor API quality may also leave the door open for counterfeit drugs to reach the market. “From a supply chain perspective, poor-quality APIs increase the likelihood of production interruptions, which ...

These examples reflect not a technical gap but a data trust issue, and they are just a few instances of the pervasive impact of poor data quality across industries.

Many poor countries don’t track air quality because stations are too expensive and complex to ... for example, data from the US Embassy in Beijing famously contradicted official government ...

We talk to Cody David of Syniti about how to ensure data quality in datasets for AI, why a ‘data-first’ attitude is key, and the quick wins an organisation can gain in data quality.

Poor data quality is estimated to cost about $12.9 million annually, according to Gartner. A Deloitte survey found that 67% of executive respondents are uncomfortable using data from advanced ...