Nobody would get into a self-driving car simply because the door locks worked and the alarm system was functioning properly.

It can be surprisingly difficult for businesses to get accurate answers to questions about their own data. Often, the data live in different systems or aren’t easily accessible to employees without specific technical skills.

At Dozuki, our teams are constantly on the factory floor. We spend hundreds of hours every year walking production lines, sitting in breakrooms with operators, and standing alongside quality managers during high-stakes audits.

‘This product isn’t approved to be imported into this market,” says a customs official while reviewing the importation documentation.

AI adoption in medical practices is growing steadily, with most providers seeing positive ROI. But progress depends on overcoming integration, skills, and trust barriers to focus AI where it delivers real clinical and operational support.

For decades, the process industries have relied on layers of protection to prevent hazardous events.

Validating AI software makes most quality teams uneasy.

Octave, a new company from Hexagon, is one of the latest additions in a string of improvements and innovations.

Quality leaders know that an audit rarely fails because a company lacks documentation. It fails because the information exists somewhere but can’t be retrieved, verified, or executed consistently when it matters.

Regulated manufacturers today face a paradox. As products become more complex and regulatory oversight more stringent, the volume of quality data required to demonstrate compliance has increased dramatically.