Subscription + Archive - Page 6 of 28 - MQ Management and Quality

Always on the "radar" of how the business is doing: Business analytics can be used to draw important insights from company data. AI-supported people analytics, on the other hand, can recognize employee data patterns © Stephen Dawson / Unsplash.com

Quality Management

The benefits of further training go far beyond the acquisition of new specialist and practical skills © photography33 / Depositphotos.com

business excellence

Quality Management

Sensible and responsible implementation of AI: the ISO/IEC 42001 standard provides the necessary guidance © Igor Omilaev / Unsplash.com

Quality Management

Visualization of the new Ariaq building © ARIAQ

Novel polymer fibers with a liquid core can deliver drugs in a targeted manner. © Empa

View of the hardening shop© Renk-Maag

Quality Management

Overview of the EFQM model © EFQM

business excellence

business excellence

Because the compliance requirements are often very high, in most cases it makes sense to call in specialists © everythingposs / Depositphotos.com

Risk Management

Despite the hype in the media and at conferences, which portrays AI as a mature and successful technology, it is still in its infancy and struggles with various challenges © denisismagilov / Depositphotos.com

Risk Management

Pascal Bartosch, CEO of Mind Switch © zVg / Mind Switch

Risk Management