The Cellular Architecture

The biology of knowledge was the metaphor. This is the executable architecture. In The Biology of Knowledge article, I used a metaphor comparing how living cell manages it knowledge to characterize four digital assets: data as genome, information as transcriptome,...

The Biology of Knowledge

"One cannot beat four billion years of evolution managing knowledge" We keep treating enterprise data like inventory in a warehouse: catalogue it, lock it, audit it, and hope it stays where we put it. Then we bolt an AI on top and act surprised when it produces...

The Definition of Success

Your Team Agreed on Success? You Have a Problem Knowledge Management start with knowing what you want. This article explains how semantics and AI can help you better define what you want and align it with what other want. When everyone nods at the word "success," they...

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...