Abstract: A method for determining at least one machine involved in an anomaly detected in a computing infrastructure comprising a plurality M of machines. This determination is performed by associating with each machine a state vector constructed using metrics and logs. Each vector is also associated with a time window. The monitoring of these vectors makes it possible to detect an anomaly that is then explained via an explanation method that makes it possible to assign an involvement indicator to each machine. The use of this indicator makes it possible to determine the machine most involved.

Abstract: A method of representing a distributed computing system, the distributed computing system comprising a plurality of processing devices connected together according to a predefined topology. The method comprising receiving at least one piece of data from an activity log file relating to at least one processing device among the plurality of processing devices, receiving at least one metric relating to at least one processing device among the plurality of processing devices, receiving at least the predefined topology of the distributed computing system, constructing a graph representative of a distributed computing system operation, the graph comprising the data item extracted from the received log file, the received metric, and the received topology, and embedding at least one part of the graph to obtain at least one state vector representing the at least one part of the embedded graph.

Abstract: A system, apparatus or process that applies artificial intelligence associated with improved modeling and validation techniques to identify a series of compatible components, e.g., to accomplish an analytical task. In connection with embodiments of the invention, an input module receives input data comprising an inquiry associated with accomplishing a task. A model module receives the input data and designs at least one pipeline comprising a plurality of components designed to accomplish the task. A compatibility module determines at least one valid pipeline by analyzing the at least one pipeline and determining whether each one of the plurality of components are compatible with a component immediately before and a component immediately after the one of the plurality of components. A display module displays the at least one valid pipeline.

Abstract: A system, apparatus or process that applies artificial intelligence associated with improved modeling and validation techniques to identify a series of compatible components, e.g., to accomplish an analytical task. In connection with embodiments of the invention, an input module receives input data comprising an inquiry associated with accomplishing a task. A model module receives the input data and designs at least one pipeline comprising a plurality of components designed to accomplish the task. A compatibility module determines at least one valid pipeline by analyzing the at least one pipeline and determining whether each one of the plurality of components are compatible with a component immediately before and a component immediately after the one of the plurality of components. A display module displays the at least one valid pipeline.