The Great AI Divide
The Illusion of Progress AI is everywhere. In presentations, strategy decks, performance reviews. It writes faster than we do, answers questions instantly, and seems to make organizations more efficient overnight. The promise is seductive: more output, less effort,...
IDMP: We built a map. Pharma needs an instrument.
Two years ago, the IDMP ontology (IDMP-O) won the BioITWorld award [https://pistoiaalliance.org/news/pistoia-alliance-wins-2024-bio-it-world-innovative-practices-award-for-idmp-pre-competitive-collaboration/]. We built the first version at Novartis, released it into...
Driving System Thinking in Pharma
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 promise is...
A Mindset Topology of IT and Business in Pharma
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...
What you Say is True but how is it Relevant?
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...
FAIR is Dead, Long Live FAIR
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...
The Psychology of Knowledge Management
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 AI-powered...
Navigating Complexities in Life Science Businesses
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...
Data Knowledge Maturity
What Comes After FAIRification? Once your data has been FAIRified, the next step is to determine how to extract value from FAIR data. This involves addressing key questions such as: How can the value of FAIR data be realized? How can the return on investment (ROI) for...
Graph-Thinking
Global Businesses require Global Thinkers System thinkers are gifted when it comes to navigating the complex, interconnected nature of global businesses. Most organizations have interactions with multiple countries and cultures, facing diverse regulatory environments,...