Abstract: A computer-implemented method includes: generating, by a computing device, a multidimensional hyperspace encompassing a plurality of features based on input data; generating, by the computing device, a plurality of sequential arrays of a fixed length based on the input data; generating, by the computing device, a final sequential array of a predetermined shape based on the plurality of sequential arrays of the fixed length; generating, by the computing device, a training data set for a deep learning model based on the final sequential array of the predetermined shape and the multidimensional hyperspace; and training, by the computing device, a deep learning model using the generated training data set.

Abstract: A computer-implemented method, system, and non-transitory computer program product for fault handling for an information technology system. Historical data for the information technology system is read from a database. A continued fraction model is applied to the historical data to generate spatial metrics. Real-time parameters for the information technology system are received. Jacobian modeling is applied to the real-time parameters to generate state space metrics. The spatial metrics and the state space metrics are combined using a recurrent space transformer to identify an actionable event in the information technology system. The recurrent space transformer maps the spatial metrics and the state space metrics to a common space. An alert is generated in response to identifying the actionable event in the information technology system.

Abstract: A computer-implemented method, system, and non-transitory computer program product for fault handling for an information technology system. Historical data for the information technology system is read from a database. A continued fraction model is applied to the historical data to generate spatial metrics. Real-time parameters for the information technology system are received. Jacobian modeling is applied to the real-time parameters to generate state space metrics. The spatial metrics and the state space metrics are combined using a recurrent space transformer to identify an actionable event in the information technology system. The recurrent space transformer maps the spatial metrics and the state space metrics to a common space. An alert is generated in response to identifying the actionable event in the information technology system.