When designing a system an architect must conform to all three corners of the CIA (Confidentiality, Integrity and Accessibility) triangle. System requirements for data confidentiality are driven not ...

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 ...

Kathleen Hurley is the founder of Sage Inc., a tech company that offers SMB businesses infrastructure solutions and next-gen technology. As data becomes everything to everybody, it’s crucial to ...

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

Companies in the life sciences space often generate loads of data—that much is self-evident, but how to store it may not be so straightforward for the organizations themselves. While more and more ...

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

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 ...

Equipment management requires various equipment-specific software systems and technologies to effectively manage fuel consumption, inventory, operational costs, utilization, risk, productivity, and ...

This week, the Pharmaceutical Inspection Co-operation Scheme (PIC/S) announced that its new guidance on good practices for data management and integrity for pharmaceutical manufacturers and ...

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 ...