by ccberger | 2026-Apr-Wed | article
Pharma Organization Change Management – Driving System Thinking in Pharma Why Organizational Change is the Real Challenge Many organizations in Life Sciences have already invested in data platforms, AI, and increasingly, knowledge graphs (KGs). The...
by ccberger | 2026-Apr-Tue | article
Business & IT: two mindsets, one organization A Story of Two Ways of Thinking In pharmaceutical organizations, innovation often stalls in unexpected places. Not in technology choices, not in data availability, not even in regulatory constraints, it stalls in...
by ccberger | 2026-Apr-Mon | article
Why graphs ways of thinking and working fail to land and what it really takes to show their value in the Life Science industry. When the Message Doesn’t Land Back in 2017, the demo went well. We had worked hard to articulate a clear and sound logic, supported by...
by ccberger | 2026-Feb-Fri | article
The Role of FAIR Principles in the AI Era The Rise, Evolution, and Exhaustion of FAIR When the FAIR Principles were introduced in 2016, they landed with unusual clarity and ambition. They were not a technology, not a data model, not a compliance checklist. They were a...
by ccberger | 2025-Nov-Thu | article
Barriers and Remedies to Knowledge Management (KM) – Applications to Life Science Industry Knowledge Management (KM) is too often packaged as a purely technical endeavors: search engines, taxonomies, repositories of guidelines and nowadays, increasingly...
by ccberger | 2025-Nov-Thu | article
The Future of Growth in Life Sciences and Biotech Lies in Genuine Data-Centric Transformation Introduction Growth is a central concept in economics and a complex phenomenon in biological systems, where its implications can be both beneficial and detrimental. Be it...
