How to scale your AI use cases: A checklist
The business case for AI is realized when the application is scaled, not in the use cases of the pilot phase. Use the checklist below at the outset to ensure the transition...
Didier Bonnet is Professor of Strategy and Digital Transformation at IMD and program co-director for Digital Transformation in Practice (DTIP). He also teaches strategy and digital transformation in several open programs such as Leading Digital Business Transformation (LDBT), Digital Execution (DE) and Digital Transformation for Boards (DTB). He has more than 30 years’ experience in strategy development and business transformation for a range of global clients.
November 27, 2025 • by Didier Bonnet, Achim Plueckebaum in AI • 3 min read
The business case for AI is realized when the application is scaled, not in the use cases of the pilot phase. Use the checklist below at the outset to ensure the transition...
November 17, 2025 • by Didier Bonnet in I by IMD Podcasts • 2 min read • Podcast available
AI has leapt from obscurity to ubiquity, reshaping work and society. But its flaws run deep, forcing leaders to balance its promise with its dangerous limitations. ...
November 14, 2025 • by Didier Bonnet in The Interview • 6 min read
AI has evolved from skepticism to ubiquity, transforming work and productivity while exposing deep limitations in truth, reliability, and human dependence....
November 12, 2025 • by Didier Bonnet, Jialu Shan in Artificial Intelligence • 12 min read
Google may have escaped major penalties in a landmark search monopoly ruling, but will the search giant survive the rise of LLMs and changing user behavior?...
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