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How to Set the AI Innovation Speed Limit
Dec 12, 2024
Practitioners Stage
Data Excellence
- Every organization working with AI encounters the challenge of the innovation paradox. Moving too slowly allows competitors to gain ground, while moving too quickly can lead to errors and liability. A notable example unfolded last year when a leading AI firm made headlines by initially parting ways with its CEO for pushing rapid progress, only to later let go of team members advocating for caution. While not every company faces this exact scenario, all AI companies must grapple with the innovation dilemma. This talk explores potential strategies and highlights a case study from a prominent telecommunications company in Canada. Attendees will learn how to develop a framework to address the innovation paradox within their own organizations.
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