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 ...

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 ...

The present world of digital transformation, streamlining workflows, enhancing operational efficiencies, and eliminating paper demands connected workflows with fully integrated systems and equipment.

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 ...

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 ...

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 ...

Kenneth J. Oh is a global marketing manager for Bio-Rad. In this current age of rapid scientific advancement, the integrity of published data has never been more critical, or more vulnerable. As ...