The pharmaceutical world offers a valuable blueprint on how to harness AI’s efficiency while protecting trust, ethics and above all, people.

Banks are faced with more complex reporting requirements, more scrutiny of the data that they use to fulfil them and more severe consequences when things go wrong, according to Gresham Technologies.

The recent admission by the Pakistan Bureau of Statistics regarding discrepancies in trade data and its subsequent efforts to ...

Data integrity is an ongoing concern across all R&D organizations, no matter what part of the research lifecycle they’re navigating. These concerns extend beyond the potential for delayed timelines or ...

Securing manufacturing data has always been a challenge. Ensuring that information gathered from different unit operations taking place at various locations is consistent and accurate is a complex, ...

Turn rules into automatic checks. Convert your business rules into a machine-readable checklist that runs every time someone ...

Data integrity with its "ALCOA+" is the new buzz-word. But what is it, really? And how do we get there? The presentation will first clarify what data integrity is, with the explanation of ALCOA+ ...

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 ...

"AI can only achieve its promise when it operates on data that can be trusted, and when users remain firmly in control of how it's applied," said Chris Hall, Chief Product Officer at Precisely. "We ...

The term "data integrity" can mean different things to different people, but the most difficult and pervasive problem facing organizations these days is the semantic integrity of the data. As ...

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 ...