Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: A method, a system, and a computer program product for generating and/or configuring a computing instance. A request to configure a computing instance for integration with at least one first computing system is received. At least one first computing component associated with the first computing system required for integration of the configured computing instance with the first computing system is identified. At least one second computing component for inclusion into the computing instance is identified. The second computing component is not required for integration of the configured computing instance with the first computing system. A configuration of the computing instance is generated using the identified first and second computing components. The configuration of the computing instance is applied in the first computing system. The configuration of the computing instance is executed by the first computing system and stored.

Abstract: A method, a system, and a computer program product for generating and/or configuring a computing instance. A request to configure a computing instance for integration with at least one first computing system is received. At least one first computing component associated with the first computing system required for integration of the configured computing instance with the first computing system is identified. At least one second computing component for inclusion into the computing instance is identified. The second computing component is not required for integration of the configured computing instance with the first computing system. A configuration of the computing instance is generated using the identified first and second computing components. The configuration of the computing instance is applied in the first computing system. The configuration of the computing instance is executed by the first computing system and stored.

Abstract: Techniques for pharmacovigilence adverse-event processing include receiving data comprising medical narrative text and generating, based on the received data, using a recurrent neural network encoder, a fixed-length context vector representation of the medical narrative text. The fixed-length context vector representation may then be queried, using a recurrent neural network decoder, to generate one or more hidden states. A first set of the one or more hidden states may be processed to generate an assessment of seriousness represented by the medical narrative text, and a second set of the one or more hidden states may be processed to generate a plurality of respective assessments of whether respective individual words of the medical narrative text correspond to one or more adverse events.