Systems and methods for recovery strategy creation, evaluation, and recommendation
In some aspects, the techniques described herein relate to a method comprising determining an event associated with a threshold probability of causing inaccessibility to an asset; retrieving, by a model executed by a processor and from a database, event data; determining, from a database of a plurality of assets, a set of assets affected by the event based on the event data; generating cause synthetic data related to the event for the set of assets to determine a category for the event based on a location of the event; generating effect synthetic data related to the event for the set of assets; generating a recovery strategy including a response detail based on the cause synthetic data and the effect synthetic data for each asset; generating a risk profile including the response detail for each asset and a probability of the event; and calculating a degree of risk.
1 . A method comprising:
determining an event associated with a threshold probability of causing inaccessibility to an asset;
retrieving, by a model executed by a processor and from a database, event data, wherein the event data includes one or more of an event category, a nature, a location, a scale, a duration, a season, and a time of day;
determining, from a database of a plurality of assets, a set of assets affected by the event based on the event data;
generating, by a generative adversarial network and a probabilistic time series model, cause synthetic data related to the event for the set of assets to determine a category for the event based on a location of the event, wherein the cause synthetic data includes inputs of past event data with the same impact, time, or nature, wherein the generative adversarial network determines whether a generated event data of the cause synthetic data meets a threshold metric based on comparison to actual event data;
generating effect synthetic data related to the event for the set of assets to determine a first order impact and a second order impact;
generating a recovery strategy including a response detail based on the cause synthetic data and the effect synthetic data for each asset;
generating a risk profile associated with the generated recovery strategy including the response detail for each asset and a probability of the event; and
calculating a degree of risk for the response detail.
2 . The method of claim 1 , wherein the effect synthetic data is generated by the generative adversarial network including inputs of a mix of the set of assets and a probabilistic time series model to determine whether the generated event data meets a threshold metric based on comparison to actual complex asset disruption data.
3 . The method of claim 1 , wherein the recovery strategy is generated by the generative adversarial network including inputs of the cause synthetic data and the effect synthetic data to determine whether the recovery detail meets a threshold metric of recovery of an asset of the set of assets, wherein the asset of the set of assets is impacted by the event.
4 . The method of claim 1 , further comprising generating, with a retrieval augment generation model, chunks based on the recovery strategy.
5 . The method of claim 4 , further comprising combining the chunks with a query to construct a prompt.
6 . The method of claim 1 , wherein generating the cause synthetic data or the effect synthetic data comprises generating a chaotic event.
7 . The method of claim 5 , further comprising using retrieved relevant documents as context with the prompt and the query and generating a response with a language learning model.
8 . The method of claim 1 , further comprising querying through a prompt systematically to recommend one or more ways for determining the response detail for the recovery strategy using a combination of parameters.
9 . The method of claim 1 , further comprising querying through a prompt systematically to recommend one or more ways for determining the response detail for the recovery strategy using a confidence score.
10 . The method of claim 1 , further comprising enacting a response by allocating an asset to the response detail.
11 . The method of claim 10 , further comprising, based on the allocation, contacting an asset with a task related to the response detail.