New capabilities close the loop between data discrepancies and underwriting action NEW YORK, July 2, 2025 /PRNewswire/ -- Ocrolus, the AI-driven data and ...

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

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

Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It supports both day-to-day operations and long-term strategic goals by making ...

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.

Poor API quality may often lead to delays in production and a shortage of supply. A laboratory technician performing a quality control test on a batch of pharmaceutical tablets, highlighting the ...

The Fair Work Commission recently dealt with an unfair dismissal case concerning quality control procedures at a minerals testing facility. A quality control officer challenged his summary dismissal ...

Pharma FDA warning letter reveals quality control, data integrity issues at Viatris plant in India By Fraiser Kansteiner Jan 6, 2025 4:20pm Mylan Viatris India U.S. FDA ...

One of the most significant challenges to research quality control is the effective handling and validation of data. It is imperative to establish robust data administration systems that ensure ...