Four imperatives to help demystify AI use cases
A good AI use case results from a ‘matching exercise’ where value is found at the intersection of data sets and business problems and opportunities. This can be hard to achieve, but...
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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.
April 8, 2025 • by Didier Bonnet, Achim Plueckebaum in Artificial Intelligence • 12 min read
A good AI use case results from a ‘matching exercise’ where value is found at the intersection of data sets and business problems and opportunities. This can be hard to achieve, but...
January 27, 2025 • by Didier Bonnet in Artificial Intelligence • 5 min read
No one expects CHROs to become technical experts, but with a firm grasp of the fundamentals they can help shape an intelligent approach to AI adoption...
January 16, 2025 • by Didier Bonnet in Brain Circuits • 4 min read
Visionary composer Brian Eno uses “strange exercises” to help foster creative conditions for writing new music – exercises that can be readily adapted to innovate in business....
October 25, 2024 • by Didier Bonnet in The Interview • 6 min read
Legendary football referee Pierluigi Collina is interviewed by IMD's Didier Bonnet....
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