This article summarizes the findings from the APC Benefit project, which evaluates the impact of a proprietary advanced ...

Recent advances on deep learning models come at the price of formidable training cost. The increasing model size is one of the root cause, but another less-emphasized fact is that data scale is ...

The foundation of effective risk management is data collected from business operations. Data is linked to two significant ...

As AI capabilities continue to advance, more sophisticated applications are anticipated, such as real-time quality monitoring ...

The volunteer data is used by DNR to establish a baseline for water quality in streams throughout Missouri. This baseline ...

Vietnam’s National Assembly adopted the amended Law on Product and Goods Quality on June 18, creating a breakthrough in risk management and digital traceability.

RBI reports higher data quality scores for banks in March 2025 Public sector banks recorded a score of 88.8, compared to 89.2 a year earlier. Private sector banks improved their score to 89.6 from ...

Chief Economic Advisor V Anantha Nageswaran on Thursday said latest technology, including artificial intelligence and internet of things, need to be used to improve quality of data, which is the ...

Its robust data plays a key role in the US economy’s trajectory as well as monthly mortgage payments, Social Security checks, financial aid packages, business contracts, pay negotiations and ...

Supply chain management directly impacts product quality and the overall profitability of a company. The COVID-19 pandemic introduced massive international supply chain disruptions that sent small ...