We propose to carry out a complete analysis of your data in order to estimate the cost of putting it into shape, as well as to suggest analysis directions with a view to setting up one or more artificial intelligence projects. This audit phase is essential for any feasibility study of an artificial intelligence project.
Datalchemy carried out a complete audit covering architecture, data compartmentalization, resistance to circumvention of the Council of Europe’s LLM tools, as well as usage and vulnerability tests.
The project aims to design a solution capable of cleansing historical data and setting up a monitoring and alert system to guarantee the quality of incoming flows.
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.