React

Implementation of a POC that automatically proposes, via an AI solution, the case number and appropriate SharePoint location of each document to speed up filing.

Datalchemy, as part of a consortium led by the UP group and Institut Mines-Télécom, has centralized, cleaned, anonymized and enriched heterogeneous data from multiple aid organizations to train and validate neural network models capable of automatically detecting the increased risk of loss of autonomy among beneficiaries.

As part of a competition to challenge the capabilities of AI to improve its processes and products, a Valeo team was accompanied by Datalchemy from conception to completion.

The objective was to identify, based on existing data in its information system, 360° use cases capable of generating a sustainable competitive advantage through the intelligent use of AI at every stage of the value chain.