Abstract: A system for capturing communication variables associated with a communication between two or more parties and implementing a quantum optimizer to analyze the communication variables to determine the actual context of a communication held by one or more parties to the communication. Once the actual context is determined, a further determination is made as to whether the actual context poses or potentially poses a security threat to one or more parties to the communication or a third-party and, if so, notifies the party of the security threat. In this regard, parties to a communication that are unaware of the actual context of the communication held by another party are made aware of that actual context poses a security threat and, in some embodiments, notifies the parties while the communication is still occurring.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

Abstract: A system for exchanging authentication data between edge-nodes is provided. The system may include an edge-node network. The network may include a plurality of edge-nodes. Each edge-node may include a pairing module. Each pairing module may receive an instruction to pair with another edge-node. Each pairing module pair with another edge-node. The pairing module may continually transmit verification communications to other edge-nodes. The pairing module may continually discover responsive communications from other edge-nodes. The pairing module may continually receive responsive verification communications from other edge-nodes. Each edge-node may include an executable module. The executable module may determine occurrence of an event. Upon determination of the occurrence of an event, the executable module may analyze a stored event protocol. The protocol including an algorithm for implementing executables in response to an event.

Abstract: Aspects of the invention relate to components for constructing a payment instrument that includes enhanced electronic features. Apparatus may include an all-inclusive smart card that securely stores sensitive data. Such sensitive data may include credit card, driver's license or passport information. The smart card may generate disposable card numbers for online or offline onetime transactions.

Abstract: Systems for using cognitive automation techniques to detect unauthorized events are provided. In some examples, a request for a product or service (e.g., event processing) may be received. The request may be received electronically, via a telephone communication, in person, or the like. The request may be analyzed (e.g., using a cognitive automation model) to determine whether it is potentially unauthorized. If so, one or more requests for additional information may be generated or identified. For instance, requests for authentication information, responses to questions or a series of questions, or the like, may be generated. In some examples, the additional information requested may be identified using the cognitive automation model. Responses to the request for additional information may be analyzed (e.g., using the cognitive automation model) to determine whether the request for the product or service is unauthorized. If so, processing the request may be prevented.

Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing on audio files and streams received from meetings and/or telephone calls. A noise mask can be applied to enhance the audio. Real-time speech analytics separate speech for different speakers into time-stamped streams, which are transcribed and merged into a combined output. The output is parsed by analyzing the combined output for correct syntax, normalized by breaking the parsed data into record groups for efficient processing, validated to ensure that the data satisfies defined formats and input criteria, and enriched to correct for any errors and to augment the audio information. Notifications based on the enriched data may be provided to call or meeting participants.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for enhanced detection of polymorphic malicious content within an entity. In this regard, the present invention receives information associated with an incidence of an electronic file; receives an first hash value of the electronic file from a first network device and a second hash value of the electronic file from a second network device; compares the first hash value with the second hash value; determines that the electronic file is polymorphic based on at least the match; initiates an execution of a quantum optimization algorithm using a quantum optimizer to determine one or more hash value states; receive information associated with an incidence of the electronic file at the third network device; determine that the electronic file is malware; and initiate an intrusion detection protocol configured to deny the electronic file access to the third network device.

Abstract: This application describes apparatus and methods for using edge-computing to control resource distribution among access channels, such as a retail banking center. Edge-nodes may be configured to move a product display in response to detected or expected customer traffic flow in or near a retail location. Edge-nodes may be configured to redirect resources provided by a cloud computing environment to or away from the retail location. Based on customer traffic flow, edge-nodes may direct customers/resources to a retail location and ensure the retail location provides a predetermined quality of service.

Abstract: Aspects of the disclosure relate to systems and methods for maintaining situational stability at a target location. The systems may include a database of machine-learning (“ML”)-derived event profiles. The systems may include a plurality of edge-nodes that are proximal to the target location. Each edge-node may generate a data stream of situational data pertaining to the target location. Each edge-node may transmit its data stream to the other edge-nodes. Each edge-node may conglomerate its own data stream with the data streams received from the other edge-nodes to create a conglomerated data stream. Each edge-node may monitor its conglomerated data stream for data that matches one of the event profiles. When a consensus is determined among the edge-nodes that a match occurred, the systems may execute a pre-determined response.

Abstract: Aspects of the disclosure relate to multicomputer processing of data from social media service computing platforms and other sources with centralized event control. A first computing platform may receive a request to authorize an event from a first device as well as information from one or more social media service computing platforms. The first computing platform may determine whether or not to authorize the event and may request authorization for the event from a second device. Subsequently, the first computing platform may command a second computing platform to authorize or not authorize the event accordingly. The rules and conditions evaluated by the first computing platform in determining whether or not to authorize the event may be determined or altered by a machine learning engine of the first computing platform.

Abstract: Aspects of the disclosure relate to multicomputer processing of data from social media service computing platforms and other sources with centralized event control. An event control computing platform may receive information from one or more social media service computing platforms. Subsequently, the event control computing platform may identify, based on the received information, whether a change should be made to user data associated with a user identifiable by the received information. If the information indicates that a change should be made to the user data, then the event control computing platform may extract metadata from the received information to verify the accuracy of the received information. When the metadata verifies the accuracy of the received information, the event control computing platform may generate a command configured to cause a change to the user data and then may transmit the generated command to an event validation computing platform.

Abstract: This application describes apparatus and methods for using edge-computing to control resource distribution among access channels, such as a retail banking center. Edge-nodes may be configured to move a product display in response to detected or expected customer traffic flow in or near a retail location. Edge-nodes may be configured to redirect resources provided by a cloud computing environment to or away from the retail location. Based on customer traffic flow, edge-nodes may direct customers/resources to a retail location and ensure the retail location provides a predetermined quality of service.

Abstract: Lumber sorting systems and methods that use adaptive lumber management to tailor the distribution of lumber to improve the yield and aesthetic properties of a product are disclosed. An adaptive lumber management system in accordance with the present disclosure may comprise a lumber scanner configured to record one or more characteristics of each board and create a data file for each board comprising information regarding the characteristic of the board. A processor may be configured to determine a target tray for each board based on the data files. The processor may be further configured to generate at least one mapping. The system may further comprise a sorting mechanism configured to sort the plurality of boards into their respective target trays and at least one tipple configured to select each board or the plurality of boards from the plurality of trays according to the at least one mapping.

Abstract: Aspects of the invention relate to components for constructing a payment instrument that includes enhanced electronic features. Apparatus may include an all-inclusive smart card that securely stores sensitive data. Such sensitive data may include credit card, driver's license or passport information. The smart card may generate disposable card numbers for online or offline onetime transactions.

Abstract: This application describes apparatus and methods for using edge-computing to control resource distribution among access channels, such as a retail banking center. Edge-nodes may be configured to move a product display in response to detected or expected customer traffic flow in or near a retail location. Edge-nodes may be configured to redirect resources provided by a cloud computing environment to or away from the retail location. Based on customer traffic flow, edge-nodes may direct customers/resources to a retail location and ensure the retail location provides a predetermined quality of service.

Abstract: A system for exchanging authentication data between edge-nodes is provided. The system may include an edge-node network. The network may include a plurality of edge-nodes. Each edge-node may include a pairing module. Each pairing module may receive an instruction to pair with another edge-node. Each pairing module pair with another edge-node. The pairing module may continually transmit verification communications to other edge-nodes. The pairing module may continually discover responsive communications from other edge-nodes. The pairing module may continually receive responsive verification communications from other edge-nodes. Each edge-node may include an executable module. The executable module may determine occurrence of an event. Upon determination of the occurrence of an event, the executable module may analyze a stored event protocol. The protocol including an algorithm for implementing executables in response to an event.