Insights for the
MedTech Industry

How AI agents will transform life sciences processes in the future – and the key questions companies should be asking today.

AI is revolutionizing computer system validation: making it more efficient, secure, and future-proof. A holistic approach that combines regulatory requirements, processes, and change management is crucial.

Successfully aligning digital health products with the requirements of complex health ecosystems.

Leveraging efficiency potential in life sciences organizations through global process harmonization.

The NIS 2 Regulation requires companies in the life sciences sector to implement effective cybersecurity measures. Learn how pharmaceutical and medical technology companies can successfully implement the requirements to secure competitive advantages.

AI offers new opportunities in the pharmaceutical environment but also brings uncertainties in compliance and validation. As traditional approaches fall short, new models are needed for safe, GxP-compliant AI use. This article highlights the key requirements and steps.

Many companies only use a fraction of XM's potential. What needs to be changed?

Process mining helps identify efficiency gaps in existing business processes. This benefits companies in two ways.