
Are you matching your AI strategy to your reality?
Cyril Bouquet shows how to improve your return on AI investment by matching your strategy to your organizational reality and selecting among four diļ¬erent AI innovation approaches....

by Michael R. Wade Published February 26, 2026 in Brain Circuits ⢠3 min read
The average factory has hundreds of systems and hundreds of software applications ā just within one company. Multiplied across supply chains, thousands of systems and datasets have enormous value locked in them, but donāt speak to each other and arenāt brought together. If shared and analyzed, insights from this proliferation of āwalledā IT systems and software in industrial processes in sectors as diverse as energy, pharmaceuticals, and transportation can help companies become more sustainable, increase machine lifecycles, and improve efficiency and productivity.
The first step to eradicating silos is to understand that itās a basic human tendency to build walls around us to keep the wolves out when we donāt feel safe. The more transparent you are with difficult decisions, the more willing people are to let go of their silos and share their data.
Bring leaders representing all sides of the business together, but donāt then allow them to create a silo ā they still have to have end-to-end responsibility for their actions.
Central to collaboration is the need to change mindsets and nurture trust, which is based on relationships established over a very long period, so you have to be patient.
AI is a tool like any other technology, so if you donāt know what youāre doing, donāt use it. Randomly equipping everyone with AI tools is not the most effective way to harness their transformative potential.
Ā
Breaking down data silos internally and across companies and sectors has the potential to benefit all stakeholders. Do so through building trust and instilling a culture of radical collaboration.
Caspar Herzberg on how āradical collaborationā can unlock trapped value
Why human-machine teams need deliberate design to be creative
From blind spots to business value: How executives can build AI initiatives that succeed
We need āradical collaborationā ā but collaboration isnāt radical
Ā

Professor of Strategy and Digital
Michael R Wade is Professor of Strategy and Digital at IMD and Director of the Global Center for Digital and AI Transformation. He directs a number of open programs such as Leading Digital and AI Transformation, Digital Transformation for Boards, Leading Digital Execution, Digital Transformation Sprint, Digital Transformation in Practice, Business Creativity and Innovation Sprint. He has written 10 books, hundreds of articles, and hosted popular management podcasts including Mike & Amit Talk Tech. In 2021, he was inducted into the Swiss Digital Shapers Hall of Fame.

18 hours ago ⢠by Cyril Bouquet in Brain Circuits
Cyril Bouquet shows how to improve your return on AI investment by matching your strategy to your organizational reality and selecting among four diļ¬erent AI innovation approaches....

April 10, 2026 ⢠by Anna Cajot in Brain Circuits
Anna Cajot draws on the experience of former FBI agent Joe Navarro to overcome an impasse when you're locked in critical talks....

April 9, 2026 in Brain Circuits
Are you scaling or just burning cash? Learn how to validate demand, use data, forecast growth, and focus your strategy to build a sustainable, profitable business....

April 2, 2026 ⢠by I by IMD in Brain Circuits
A skills-first approach is emerging as the future of workforce strategy. Jeff Schwartz and Mike Worthington identify the key questions to consider and explain how itās done....
Explore first person business intelligence from top minds curated for a global executive audience