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Measuring the Actual Performance of AI After Deployment
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Deploying an artificial intelligence solution does not mark the end of the project. It is only once it has been integrated into the company’s workflows and processes that its ability to create real value can be assessed.
In this podcast interview, Olivier Mamavi, Editorial Director at Management & Datascience, discusses the metrics to watch beyond technical performance or simple usage levels. Does AI truly contribute to business objectives? Does it improve processes and decision-making? Have teams embraced the changes it brings?
These are all essential questions for distinguishing a promising pilot project from a full-scale implementation that yields concrete and sustainable results.
Watch the video of the podcast interview.
This discussion builds on the themes central to the 2026 program of the Data & AI Leaders Summit Paris, taking place November 18 and 19 at Paris Expo Porte de Versailles.
