Public Use Cases for Features Highlights
Our Use Cases in this section present the results of studies illustrating the exclusive capabilities of XTRACTIS to automatically :
- Make the Reverse-engineering of a opaque models to transform them into transparent rule-based decision systems.
- Find optimal solutions to Operational Research complex problems where solutions are impossible to find using a standard binary approach.
- Rapidly discover new formulations that would not have been found even by the most gifted humans!
- Use evenly small and big data (frugality)
XTRACTIS makes the Reverse-engineering of a Boosted Tree model to transform this opaque model into a transparent rule-based decision system that accurately makes rational and explainable predictions.
XTRACTIS robots explore a 27-dimension decision space of possible supply chain configurations to find the one that maximizes at best Operating Income given requests on local sales objectives, local production constraints, and ecological requirements. Objectives and constraints are either fuzzy (flexible) or binary (rigid).
Automatic exploration of the 86-dimension continuous decision space of possible molecules formed by the 6 models (the molecule’s efficiency and its toxicity for 5 animal species), to satisfy simultaneously the 6 objectives with the highest possible degree: a new molecular profile that is an herbicide having the lowest toxicity for all species.
