Smart data signals for artificial intelligence based modeling

One or more non-transitory, computer-readable media having instructions stored thereon, the instructions, when executed by a processor of a smart data signals platform for artificial intelligence/machine learning (AI/ML)-based simulation and modeling, structured to cause the processor to perform operations comprising:

• receiving, by a data enrichment engine from a first source computing system, first structured input data comprising claim data;
• receiving, by the data enrichment engine from a second source computing system, an unstructured input data;
• structuring the unstructured input data to generate second structured input data, wherein the second structured input data comprises a set of tokens generated based on the unstructured input data;
• linking, by the data enrichment engine, the first structured input data and the second structured input data to generate an enriched dataset comprising a set of metadata, wherein at least one item in the set of metadata corresponds to at least one token in the set of tokens;
• validating, by the data enrichment engine and based on a rule associated with a particular target computing system, the enriched dataset;
• performing, by a trigger engine, operations comprising:
• evaluating the enriched dataset against a criterion associated with a hypothesis;
• and
• based on a result of an evaluation, generating an electronic trigger signal;
• and
• deploying the electronic trigger signal in connection with the target computing system;
• performing, by a trained artificial intelligence (AI) decision engine, operations comprising:
• using the electronic trigger signal, generating an analysis dataset;
• executing a trained machine learning model on the analysis dataset to generate a resource degradation indicator;
• binding the resource degradation indicator to the analysis dataset;
• and
• transmitting the analysis dataset to the target computing system.

A computing system comprising at least one processor, at least one memory, and one or more non-transitory, computer-readable media having instructions stored thereon, the instructions, when executed by the at least one processor, causing a smart data signals platform to perform operations for artificial intelligence/machine learning (AI/ML)-based simulation and modeling, the operations comprising:

• receive, by a data enrichment engine from a first source computing system, first structured input data comprising claim data;
• receive, by the data enrichment engine from a second source computing system, an unstructured input data;
• structure the unstructured input data to generate second structured input data, wherein the second structured input data comprises a set of tokens generated based on the unstructured input data;
• link, by the data enrichment engine, the first structured input data and the second structured input data to generate an enriched dataset comprising a set of metadata, wherein at least one item in the set of metadata corresponds to at least one token in the set of tokens;
• validate, by the data enrichment engine and based on a rule associated with a particular target computing system, the enriched dataset;
• perform, by a trigger engine, operations comprising:
• evaluating the enriched dataset against a criterion associated with a hypothesis;
• and
• based on a result of an evaluation, generating an electronic trigger signal;
• and
• deploying the electronic trigger signal in connection with the target computing system;
• perform, by a trained artificial intelligence (AI) decision engine, operations comprising:
• using the electronic trigger signal, generating an analysis dataset;
• executing a trained machine learning model on the analysis dataset to generate a resource degradation indicator;
• bind the resource degradation indicator to the analysis dataset;
• and
• transmit the analysis dataset to the target computing system.