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1

Detecting stress without adding to nurses’ workload

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Work-related stress can affect nurses’ health, their ability to work and whether they remain in the profession. Conventional surveys, however, often reveal strain only at a late stage. A BFH project is therefore investigating whether smartwatch, shift-schedule and routine data can make stress in everyday nursing visible early and with as little additional burden as […]

3

Before the first model: How a challenge brief gets AI initiatives ready

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What makes an AI initiative ready to move forward? Researchers from Bern University of Applied Sciences, the University of Liechtenstein and the University of St.Gallen examined AI Innovation Challenge Briefs from corporate innovation initiatives. Our findings show how this seemingly simple artefact can align business, design and technology – without requiring every uncertainty to be […]

5

AI on our own terms

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Artificial intelligence often feels like a service that takes place somewhere else. The Machine Learning Management Platform (MLMP) at BFH-TI takes a different approach: it gives students, lecturers, mid-level academic staff and specialist staff access to a shared AI infrastructure, keeping knowledge and control close to the university. SocietyByte: The acronym MLMP sounds rather technical. […]

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AI as relief or a new source of stress? Why humans remain in the loop despite GenAI

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How is generative AI changing the work of software developers, and does it actually reduce the strain on them? Researchers at the Institute Digital Technology Management have investigated this question as part of our SNSF project. The study is based on 26 interviews with DevOps professionals from two Swiss companies in the finance and insurance […]