Insights
Knowledge-intensive organizations are being reshaped by artificial intelligence, growing information volumes, increasing specialization, and evolving user expectations. Drawing on more than two decades of experience across scientific information, enterprise knowledge platforms, digital products, and AI-enabled knowledge solutions, these Insights explore what these changes mean in practice and aim to stimulate discussion about designing effective knowledge ecosystems.
They are intended as perspectives for reflection rather than definitive answers. New perspectives will be added as the landscape evolves.
Article
12 September 2026
Why Knowledge Work in R&D Is Not a Search Problem
From information retrieval to decision support, different user needs, the role of generative AI, and guiding questions for organizations.
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Article
14 September 2026
The Biggest Challenges of Enterprise Knowledge Platforms Are Not Technical
Why technology is necessary but not sufficient, stakeholders versus users, continuous user adoption, governance, and discipline over feature sprawl.
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Article
16 September 2026
Five Lessons from Twenty-Five Years of Designing Knowledge Solutions
Five lessons on starting with the problem, understanding workflows, building trust, sustaining adoption, and focusing on decisions.
READ MOREUnless otherwise stated, all articles reflect the personal views and professional experience of the author.