Abstract: Systems and methods are described for supply chain vulnerability forecasting using external event data is described. The method may include identifying historic data from each entity of a plurality of entities connected in a supply chain, aggregating temporal-based information relating to the entities and to relations among the entities into one or more time periods based on the historic data, training a cognitive prediction model using the aggregated temporal-based information, generating a vulnerability score for each entity, generating a recommendation for at least one entity if the vulnerability score for the at least one entity is above a preset threshold, retraining the cognitive prediction model using changed data of the at least one entity, and adjusting the vulnerability score based on the retraining.

Abstract: Systems and methods are described for supply chain vulnerability forecasting using external event data is described. The method may include identifying historic data from each entity of a plurality of entities connected in a supply chain, aggregating temporal-based information relating to the entities and to relations among the entities into one or more time periods based on the historic data, training a cognitive prediction model using the aggregated temporal-based information, generating a vulnerability score for each entity, generating a recommendation for at least one entity if the vulnerability score for the at least one entity is above a preset threshold, retraining the cognitive prediction model using changed data of the at least one entity, and adjusting the vulnerability score based on the retraining.

Abstract: A processor-implemented method for providing merchants business advice, the method including: providing a merchant with a dashboard, the dashboard including information related to the merchant's business and a communication link to the merchant's financial institution; receiving a request from the merchant via the dashboard, the request being for a service provided by the merchant's financial institution; processing the request from the merchant by using data about the merchant's business; and providing a response to the request for viewing at the dashboard by the merchant.

Abstract: A mitigation action recommendation method, system, and computer program product, includes building a cognitive machine learning model for a conversational agent, querying a user, via the conversational agent, to create a profile of the user by comparing answers from the user to the cognitive machine learning model to determine missing data, and creating a new query, based on the cognitive machine learning model, to acquire, via the conversational agent, at least some of the missing data from the user to update the profile.

Abstract: A processor-implemented method for providing merchants business advice, the method including: providing a merchant with a dashboard, the dashboard including information related to the merchant's business and a communication link to the merchant's financial institution; receiving a request from the merchant via the dashboard, the request being for a service provided by the merchant's financial institution; processing the request from the merchant by using data about the merchant's business; and providing a response to the request for viewing at the dashboard by the merchant.

Abstract: Vulnerabilities in a supply chain are detected by creating a graphical representation of the supply chain containing a plurality of nodes and a plurality of edges between nodes. Each node is an entity in the supply chain, and each entity has an associated profile of properties for that entity. Each edge represents an interaction between two entities. The set of descriptive properties at each entity in the supply chain and each interaction between two entities are used to determine a current level of vulnerability to perturbations in the supply chain for a plurality of entities in the supply chain. Remedial actions to be taken in the supply chain can then be identified to reduce the current level of vulnerability for at least one entity in the supply chain.