Abstract: A smart data signals platform for artificial intelligence/machine learning (AI/ML)-based modeling and simulation is structured to pre-process input data by structuring previously unstructured data that relates to a structured data item and linking the structured data to the data item to generate an enriched dataset. The enriched dataset is used to generate a trigger signal by evaluating at least an aspect to the enriched dataset against at least one criterion that corresponds to a loss hypothesis. The trigger signal is used to automatically monitor subsequently received structured data, access corresponding unstructured data and generate an analysis dataset for one or more machine learning models. The one or more machine learning models generate a computer-based prediction based on the analysis dataset. The prediction can include a resource degradation indicator.

Abstract: A smart data signals platform for artificial intelligence/machine learning (AI/ML)-based modeling and simulation is structured to pre-process input data by structuring previously unstructured data that relates to a structured data item and linking the structured data to the data item to generate an enriched dataset. The enriched dataset is used to generate a trigger signal by evaluating at least an aspect to the enriched dataset against at least one criterion that corresponds to a loss hypothesis. The trigger signal is used to automatically monitor subsequently received structured data, access corresponding unstructured data and generate an analysis dataset for one or more machine learning models. The one or more machine learning models generate a computer-based prediction based on the analysis dataset. The prediction can include a resource degradation indicator.

Abstract: A smart data signals platform for artificial intelligence/machine learning (AI/ML)-based modeling and simulation is structured to pre-process input data by structuring previously unstructured data that relates to a structured data item and linking the structured data to the data item to generate a validated enriched dataset. The validated enriched dataset is used to generate a trigger signal by evaluating at least an aspect to the enriched dataset against at least one criterion that corresponds to a loss hypothesis. The trigger signal is used to automatically monitor subsequently received structured data, access corresponding unstructured data and generate an analysis dataset for one or more machine learning models. The one or more machine learning models generate a computer-based prediction based on the analysis dataset. The prediction can include a resource degradation indicator.

Abstract: A smart data signals platform for artificial intelligence/machine learning (AI/ML)-based modeling and simulation is structured to pre-process input data by structuring previously unstructured data that relates to a structured data item and linking the structured data to the data item to generate a validated enriched dataset. The validated enriched dataset is used to generate a trigger signal by evaluating at least an aspect to the enriched dataset against at least one criterion that corresponds to a loss hypothesis. The trigger signal is used to automatically monitor subsequently received structured data, access corresponding unstructured data and generate an analysis dataset for one or more machine learning models. The one or more machine learning models generate a computer-based prediction based on the analysis dataset. The prediction can include a resource degradation indicator.