There’s no doubt that artificial intelligence (AI) and machine learning (ML) are increasingly important to organizations seeking competitive advantage through digital transformation. More than 75% of ...

Modern consumer-facing organizations rely on collaborative, data-driven decisions to fuel their business—yet the challenge is to do so with a keen focus on ensuring sound, well-maintained, accessible ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

In this interview, AZoM talks to Simon Taylor from Mettler Toledo’s Titration product group about data integrity in titration and why it is important to do so for laboratories, production lines or ...

Throughput, efficiency, and reproducibility are key concerns in laboratory studies. Advances in digital science solutions and automated technologies are driving recent improvements in lab results, ...

Software engineers have a bad habit of being very optimistic. This optimism often doesn’t just include their calculation on how long it will take for a specific task to be completed but also on ...

With the advent of faster processing chips, the rate of data transfer has increased enormously. Be it artificial intelligence (AI), the Internet of Things (IOT), compute intensive analytics, or cloud ...

"For example, the computer in [Pan's] quality unit area did not have controls to restrict access and prevent unauthorized changes to data files and folders," FDA writes. In light of these issues, FDA ...