Abstract: Systems and methods for providing data privacy in a private distributed ledger are disclosed. According to another embodiment a distributed ledger network may include a first node comprising a first node computer processor and hosting a central ledger comprising a plurality of entries for public transactions and private transactions, wherein the entries for public transactions comprise transaction payloads for the respective public transaction, and the entries for private transactions comprise a cryptographic hash digest of a transaction payload for the respective private transaction; and a plurality of second nodes each comprising a second node computer processor and hosting a public database comprising the public transactions, and a private database comprising transaction payloads for the private transactions to which the node is a party.

Abstract: Systems and methods for the application of distributed ledgers for network payments as financial exchange settlement and reconciliation are disclosed. In one embodiment, a method for processing network payments using a distributed ledger may include: (1) a payment originator initiating a payment instruction to a payment beneficiary; (2) a payment originator bank posting and committing the payment instruction to a distributed ledger on a peer-to-peer network; (3) the payment beneficiary bank posting and committing the payment instruction to the distributed ledger on a peer-to-peer network; and (4) the payment originator bank validating and processing the payment through a payment originator bank internal system and debiting an originator account.

Abstract: Methods, non-transitory computer readable media, and natural language understanding (NLU) service device are disclosed that receive raw requests for price quotes for financial instruments from two or more different types of communication channels and via one or more communication networks. The raw requests are in two or more different formats and comprise unstructured data. The unstructured data of the raw requests is analyzed to identify key value(s) associated with the raw requests. The raw requests are then automatically transformed based on the identified key value(s) into price quote request(s) comprising structured data in particular format(s) required by pricing application(s) hosted by pricing server device(s). The price quote request(s) are output to one or more of the pricing application(s) via another one or more communication networks in order to facilitate automated pricing of the financial instruments.

Abstract: Systems and methods for providing data privacy in a private distributed ledger are disclosed. According to another embodiment a distributed ledger network may include a first node comprising a first node computer processor and hosting a central ledger comprising a plurality of entries for public transactions and private transactions, wherein the entries for public transactions comprise transaction payloads for the respective public transaction, and the entries for private transactions comprise a cryptographic hash digest of a transaction payload for the respective private transaction; and a plurality of second nodes each comprising a second node computer processor and hosting a public database comprising the public transactions, and a private database comprising transaction payloads for the private transactions to which the node is a party.

Abstract: Systems and methods for providing data privacy in a private distributed ledger are disclosed. According to another embodiment a distributed ledger network may include a first node comprising a first node computer processor and hosting a central ledger comprising a plurality of entries for public transactions and private transactions, wherein the entries for public transactions comprise transaction payloads for the respective public transaction, and the entries for private transactions comprise a cryptographic hash digest of a transaction payload for the respective private transaction; and a plurality of second nodes each comprising a second node computer processor and hosting a public database comprising the public transactions, and a private database comprising transaction payloads for the private transactions to which the node is a party.

Abstract: Methods, non-transitory computer readable media, and natural language understanding (NLU) service device are disclosed that receive raw requests for price quotes for financial instruments from two or more different types of communication channels and via one or more communication networks. The raw requests are in two or more different formats and comprise unstructured data. The unstructured data of the raw requests is analyzed to identify key value(s) associated with the raw requests. The raw requests are then automatically transformed based on the identified key value(s) into price quote request(s) comprising structured data in particular format(s) required by pricing application(s) hosted by pricing server device(s). The price quote request(s) are output to one or more of the pricing application(s) via another one or more communication networks in order to facilitate automated pricing of the financial instruments.

Abstract: Systems and methods for the application of distributed ledgers for network payments as financial exchange settlement and reconciliation are disclosed. In one embodiment, a method for processing network payments using a distributed ledger may include: (1) a payment originator initiating a payment instruction to a payment beneficiary; (2) a payment originator bank posting and committing the payment instruction to a distributed ledger on a peer-to-peer network; (3) the payment beneficiary bank posting and committing the payment instruction to the distributed ledger on a peer-to-peer network; and (4) the payment originator bank validating and processing the payment through a payment originator bank internal system and debiting an originator account.

Abstract: Systems and methods for providing data privacy in a private distributed ledger are disclosed. According to another embodiment a distributed ledger network may include a first node comprising a first node computer processor and hosting a central ledger comprising a plurality of entries for public transactions and private transactions, wherein the entries for public transactions comprise transaction payloads for the respective public transaction, and the entries for private transactions comprise a cryptographic hash digest of a transaction payload for the respective private transaction; and a plurality of second nodes each comprising a second node computer processor and hosting a public database comprising the public transactions, and a private database comprising transaction payloads for the private transactions to which the node is a party.