Accenture Global Solutions Limited

Nantomiaro Ramanjakanoro Ralibera

Richard Vidal

Laetitia Kameni

Laura Wendy Hèléne Sylvie Angéle Degioanni

The disclosed system and method provide an artificial intelligence (AI) model trained using clustering and reinforcement learning. Data in a dataset can be loaded for de-identification, along with data scope answers. The data can be audited, and once audited, the audited data and the data scope answers can be provided to a strategy recommendation engine including the trained AI model. The engine can determine a cluster corresponding to the dataset and assesses strategies for data de-identification based on the determined cluster. The strategies can be ranked and provided as output, providing the ability to better de-identify the dataset by indicating which techniques will be the most effective. Additionally, the system and method can automatically implement a top-ranked strategy satisfying certain criteria as a determined optimal approach for data de-identification. Clustering and reinforcement learning may efficiently and automatically glean information from unlabeled data. Feedback-based retraining may improve performance further.

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Lyons, France

Nantomiaro Ramanjakanoro Ralibera