Amadeus S.a.s.

Amadeus S.a.s., Sophia Antipolis

Nicolas Maillot

Rudy Daniello

Olivier Amadieu

Luc Isnardy

Guillaume Legrand

Damien Ciabrini

Charles-Antoine Robelin

Jean-Marie Cazorla

Marc Patoureaux

Benoit Janin

Philippe Beaudequin

Christian Haas-Frangi

Sébastien Gibergues

Luc Viguie

Sebastien Gibergues

Benedicte Isnardon

Claudine Reynaud

Jean-Philippe Aubry

Remy Gole

A device, system and method for training machine learning models using messages associated with provider objects is provided. One or more computing devices: receives messages associated with provider objects representing items provided by provider systems, the messages having more than one format; stores harmonized objects corresponding to the messages, the harmonized objects generated using mappings of harmonized data of the harmonized objects to message data of the messages, the harmonized objects having common formats for a harmonized object type; extracts, from the harmonized objects, for a given machine learning model, given machine learning training data; generates, for the given machine learning model, using the given machine learning training data, at least one machine learning classifier; and provides the at least one machine learning classifier to the given machine learning model at one or more servers configured to implement the given machine learning model on received provider objects.

Device, system and method for training machine learning models using messages associated with provider objects

A data cache platform maintains pre-computed database query results computed by a computation platform based on data maintained in the computation platform and is configured to determine probabilities of the cached database query results being outdated, to automatically issue re-computation orders to the computation platform for updating cached database query results on the basis of the determined probabilities of the pre-computed database query results being outdated and to receive the updated pre-computed database query results as results of the re-computation orders. The probability determination depends on a probabilistic model and on the occurrence of asynchronous real-time events. The real-time events are indeterministic with regard to the expiration of the cached database query results and only have a probabilistic influence on the discrepancies between the cached database query results maintained in the data cache platform and presumed actual database query results.

Updating cached database query results

Growing community of inventors

Biot, France

Nicolas Maillot