Systems, computer program products, and methods are described herein for information transfer between communication channels. The present invention is configured to electronically receive, via a first communication channel associated with an entity, information associated with a transfer of resources from a user at a first time; initiate one or more machine learning algorithms at on the information associated with the transfer of resources at the first time; generate, using the one or more machine learning algorithms, a summary of the information associated with the transfer of resources; electronically receive an indication that the user wishes to transfer to a second communication channel; and initiate a communication channel transfer protocol to transmit the summary of the information associated with the transfer of resources to the second communication channel.

Systems, computer program products, and methods are described herein for information transfer between communication channels. The present invention is configured to electronically receive, via a first communication channel associated with an entity, information associated with a transfer of resources from a user at a first time; initiate one or more machine learning algorithms at on the information associated with the transfer of resources at the first time; generate, using the one or more machine learning algorithms, a summary of the information associated with the transfer of resources; electronically receive an indication that the user wishes to transfer to a second communication channel; and initiate a communication channel transfer protocol to transmit the summary of the information associated with the transfer of resources to the second communication channel.

Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving, at a stream processor, an event, the stream processor including a plurality of processing stages; generating, by the stream processor, an augmented event based on the event, the augmented event including at least one additional field not appearing in the event, the additional field generated by an operation selected from the group consisting of a join or dimensional annotation operation; and emitting, by the stream processor, the augmented event to downstream consumer.

Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving, at a stream processor, an event, the stream processor including a plurality of processing stages; generating, by the stream processor, an augmented event based on the event, the augmented event including at least one additional field not appearing in the event, the additional field generated by an operation selected from the group consisting of a join or dimensional annotation operation; and emitting, by the stream processor, the augmented event to downstream consumer.

The present disclosure provides, among other things, methods and systems of managing communications, the methods and systems including: receiving a first group communication from a first group; determining, based on the first group communication, a first group sentiment; receiving a first communication with a request to send the first communication to the first group; determining, based on the first communication, a first communication sentiment; comparing the first group sentiment with the first communication sentiment; and based on the comparing, performing an action on the request to send the first communication.

The present disclosure provides, among other things, methods and systems of managing communications, the methods and systems including: receiving a first group communication from a first group; determining, based on the first group communication, a first group sentiment; receiving a first communication with a request to send the first communication to the first group; determining, based on the first communication, a first communication sentiment; comparing the first group sentiment with the first communication sentiment; and based on the comparing, performing an action on the request to send the first communication.

A method for calculating a total transmission probability within a social network based on timing includes a path probability calculating step, a first binary-addition tree searching step, a second binary-addition tree searching step and a transmission probability calculating step. The path probability calculating step is performed to calculate a plurality of time-path probability matrices from the social network. The first binary-addition tree searching step is performed to enumerate a plurality of feasible spread vectors and a plurality of 1-lag temporal vectors. The second binary-addition tree searching step is performed to enumerate a plurality of time-slot vectors of each of the 1-lag temporal vectors. The transmission probability calculating step is performed to calculate the total transmission probability of the social network. The time-path probability matrices are corresponding to a plurality of time values, and the time values are in the specific time and different from each other.

A method of determining a likelihood that a debt payment will be made or received, the method comprising sending a message to a debtor mobile computing device comprising a link to a debtor portal; displaying on the debtor mobile computing device an indication of the debt owing; displaying on the debtor mobile computing device a proposed payment plan for settlement of the debt; and receiving an indication that the debtor accepts the proposed payment plan is disclosed. The method may use Next Best Action (NBA) modelling. The message sent may be a SMS message and it may include an indication of the debt owing. The method may further comprise offering a discount to the debtor if the discounted amount is paid that day. The offer of a discount may initiate an automated negotiation process with the debtor.

In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.

In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.