233 results about "Electronic messaging" patented technology

An example operation may include one or more of storing a data store of credit card documentation, conversing with a user via a chatbot within a chat window of a software application, wherein the conversing comprises receiving natural language inputs with requests for information about a payment card, identifying a benefit obtained by the user based on the conversation, executing a large language model (LLM) on the identified benefit and the data store of the credit card documentation to generate a letter of confirmation, and generating an electronic message with the letter of confirmation attached, and transmitting the electronic message to a user device.

Systems and methods are described for a connected AI agent for managed multidimensional search based on an electronic message and management policies. A messaging application at a client device can send a new electronic message, such as an email, to a connector service. An attachment can be ingested and stored in a vector database. Then one or more artificial intelligence (“AI”) agents can be selected for responding to the body of the email, such as a query in the body. The responses can be formatted and sent to multiple parties, such as a sending user of the electronic message and a recipient that was copied or also sent the new electronic message. The AI agents can use different AI models, prompts, and vector databases depending on user permissions. This allows for building up vector databases with relevant content items and answering user questions based on those vector databases.

Apparatuses, methods, and systems for controlling a visual content of displays of computing devices. One method includes analyzing a success of an electronic message campaign, comprising sensing actions of the recipients in response to electronically receiving electronic messages. Analyzing the success includes a computing device of the recipients receiving an electronic message, an application loaded on the computing device controlling sensing of at least one sensor of the computing device based on reception of the electronic message, the application loaded on the computing device identifying and tracking sensed actions of the computing device, determining a level of engagement of the recipient based on the tracked sensed actions, electronically sending a present electronic message campaign to recipients of an active contact list, and controlling a visual content of displays of computing devices of each of the recipients based on the level of engagement of the recipient.

Described are systems and processes providing meaningful responses to natural language (NL) prompts issued by a user and providing the responses to the user with configurable interactive components selected based in part on a role of the user that enables the user to engage with the responses in meaningful ways. The configurable interactive components may enable a user to perform certain tasks with output data in a response, such as play content, edit content, and / or perform actions by implementation of software code added to the configurable interactive components. The actions may include implementing approvals, sending electronic messages, and / or scheduling meetings, among many other actions.

Apparatuses, methods, and systems for a computer-implemented method for electronic message generation are disclosed. One method includes receiving, by a server, an input description from a user, scraping, by the server, characteristics of other electronic messages of the user including at least colors and fonts, generating, by the server, N message sections based on the input description and the scraped characteristics, applying, by the server, colors, fonts, and designs to the generated N message sections, filtering, by the server, the generated N message sections to eliminate message sections that include pre-identified undesired characteristics, displaying, by the server, the filtered electronic message sections to the user, and receiving, by the server, feedback from the user regarding the displayed filtered electronic message sections.

Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for determining and implementing the mechanisms for compiling and / or displaying a summary of an electronic message within an inbox. The disclosed framework provides novel mechanisms for triaging messaging, in that mechanism for how they are pre-, post- and / or in real-time processed by the server, sender and / or recipient devices pursuant to providing summarizations for an improved user consumption experience. The framework operates to determine which messages are candidates for specific forms of triaging, then queues such messages for summarization according to the mechanism for which it will be delivered. Such determination and summarization can effectuate an improved messaging experience as it relates to how messages are handled by inboxes and / or displayed for interaction by recipient users.

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to an automated predictive response computing system independent of electronic communication channel of an electronic message payload, the automated predictive response computing system being configured to, for example, implement a universal data space based on, at least in part, conversational data flows, which may be classified and used to provide a predictive response to assist resolution, such as assisting an agent among other things. In an example, a method may include augmenting at least a subset of one or more portions of communication data, implementing augmented communication portion data to determine a predicted response, and generating data to facilitate the predicted response based on the subset of inbound electronic messages.

In accordance with some embodiments, the method includes: receiving, via the one or more input devices, a request to access a resource protected by a verification code; after receiving the request to access the resource, receiving, at the electronic device, an electronic message; and after receiving the electronic message and while displaying, via the display device, a user interface for inputting the verification code: in accordance with a determination that the electronic message includes content that meets respective criteria, wherein the respective criteria include a format requirement that the electronic message includes content that matches a predetermined format, displaying an insertion affordance that, when selected, automatically inserts the content that matches the predetermined format as a verification code in the user interface.

Systems and methods are disclosed for determining network pairings and a plurality of factors associated with the network pairings for secure and efficient routing of electronic message(s). The method includes receiving a request from a first system for an electronic message associated with an access device of a second system, wherein the electronic message is a special electronic message; determining network pairings between a plurality of networks associated with the access device and a plurality of regional networks for authenticating the electronic message; processing past data associated with the network pairings to determine a plurality of factors for routing the electronic message; and routing the electronic message to at least one of the plurality of networks associated with the access device or at least one of the plurality of regional networks based on the plurality of factors.

An electronic messaging system has multiple user stations and a master station with which the user stations communicate. Each user station is arranged to receive and display electronic messages, receive an input from a user to indicate an alert relating to one of the electronic messages, display a plurality of predetermined reasons for the alert, and receive an input from a user to select at least one of those predetermined reasons. The master station receives alerts from the users of the user stations, along with predetermined reasons that have been selected by the users. In response, the master station issues credits or other rewards or recognition to the users of the user stations. Data from multiple master stations may be fed to a supervisory station interfacing with a processor that functions as a machine learning or artificial intelligence model.

Systems and methods for authenticating an electronic transaction using a hosted authentication service. The systems and methods determine whether an authentication is required based on a first electronic message received from a first data system. Upon determining the authentication is required, the systems and methods transmit a dummy authentication request and a hosted authentication service uniform resource locator to the first data system. The systems and methods further determine or receive an indication whether a user authentication challenge is required based on a transaction risk analysis by a second data system. Upon determining the user authentication challenge is required, the systems and methods provide, at a user interface, an electronic form including a challenge request. The systems and methods transmit, to the first data system, another electronic form including a dummy authentication response generated based on a challenge result.

Computer-executed methods for training users to discern electronic phishing messages to reduce risk of threats to the integrity of computing systems and / or computing resources. In some embodiments, the methods involve gamifying the training to motivate users to participate in the training. In some embodiments, gamification includes instructing electronic-messaging-system users to forward suspected phishing messages for analysis. The analysis may include automatically determining one or more of a variety of factors for each forwarded suspected phishing message, such as whether or not the suspected phishing message is an actual phishing message, whether or not the reporting is an original reporting, and how quickly the user made the report. In some embodiments, points are awarded based on the analyzed factors. In some embodiments, the methods involve building phishing knowledgebases for automatic electronic-message filtering. Software for performing disclosed methods or one or more portions thereof.

Apparatuses, methods, and systems for transforming a message of a first channel to a message of a second channel. One method includes receiving, by a server, a first channel electronic message, wherein the first channel electronic message includes a formatted message that includes at least text, extracting and prioritizing the at least text of the formatted message of the first channel electronic message, including converting the at least text of the formatted message of the first channel electronic message into machine-encoded text, and prioritizing text of the machine-encoded text based on at least a size and placement of the text of the formatted message. The method further includes drafting, by the server, a set of second channel electronic messages based on the prioritized text, and electronically sending the set of second channel electronic messages to recipients.

Arrangements for detecting an email deluge are provided. A computing platform may train an artificial intelligence (AI) engine. The computing platform may receive a group of electronic messages. The computing platform may identify a user profile based on an electronic user identifier associated with the group of electronic messages. The computing platform may determine one or more electronic characteristics based on content associated with the group of electronic messages. The computing platform may generate one or more rules to determine whether a deluge has been detected. Based on determine that a deluge has been detected, the computing platform may quarantine the group of electronic messages and / or perform other actions.

According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.

An example method for managing messaging for multiple messaging accounts includes displaying, at an electronic device, an aggregated messaging user interface (UI) that includes data from a plurality of user accounts associated with one or more messaging application. The method further includes detecting a selection of a UI element for creating a new message via at least one respective user account of the plurality of user accounts. The method includes, after detecting the selection, and after determining that messaging capabilities for two or more respective user accounts of the plurality of user accounts are enabled, presenting: (i) a first selectable option that, when selected causes the electronic device to initiate creation of a message for a first respective user account, and (ii) a second selectable option that, when selected, causes the electronic device to initiate creation of a message for a second respective user account.

Methods and systems for a borrower identification and prediction of credit risk associated with the identified borrower is provided. The system includes a server that retrieves an electronic message that includes details of transactions conducted by a first entity over a time. The electronic message is parsed based on a predefined parameter, to identify a second entity, where the first entity has conducted a business transaction with the second entity. Further, a first set of details associated with the second entity is obtained from one or more resources associated with the server. Furthermore, a knowledge graph is generated based on the business transaction and the first set of details. The knowledge graph indicates an association between the first entity and the second entity. Subsequently, a credit risk score associated with lending money to the second entity is predicted based on the knowledge graph.

A system and method are provided by which an electronic address associated with a user is monitored. Based on the monitoring, an electronic message is detected including a digital document. A cryptographic function is applied to the digital document to generate a hash which is rendered accessible at a network location. An identification of the network location of the hash is transmitted to a first computing system associated with the user.

A method, apparatus and computer program product are provided to estimate at least one target quantitative measure based upon historical electronic messages. The historical electronic messages may be partitioned based on geographic areas. The target quantitative measure may be estimated based upon respective binary categorical indicators, and respective quantitative measures of the historical electronic messages. The target quantitative measure may be adjusted dependent upon a quantitative criterion of an entity. The target quantitative measure may be used to price prescription drugs and / or the like, and may impact prescription adherence and / or pharmacy profit margins.

Systems and methods are described for a connected AI agent for managed multidimensional search based on an electronic message and management policies. A messaging application at a client device can send a new electronic message, such as an email, to a connector service. An attachment can be ingested and stored in a vector database. Then one or more artificial intelligence (“AI”) agents can be selected for responding to the body of the email, such as a query in the body. The responses can be formatted and sent to multiple parties, such as a sending user of the electronic message and a recipient that was copied or also sent the new electronic message. The AI agents can use different AI models, prompts, and vector databases depending on user permissions. This allows for building up vector databases with relevant content items and answering user questions based on those vector databases.

Systems, methods, devices, and non-transitory, computer-readable storage media are disclosed for execution of an order including a first portion and a second portion. A trading computer system includes a routing system and a processor configured to: determine that a leg of the first type is satisfied at a first computer network destination and a leg of the second type is satisfied at a second computer network destination; transmit a second electronic message to the first computer network destination and a third electronic message to the second computer network destination; receive a confirmation electronic message indicating that the leg of the first type and the leg of the second type were executed substantially simultaneously; generate an execution report that indicates that the leg of the first type and the leg of the second type were substantially executed simultaneously; and transmit the execution report to a portable electronic device.

A method of initiating an automation sequence. The method includes, at a computing system on which is running an automation-sequence initiator engine, downloading and storing on data storage ERP object data from an ERP system associated with a first organisational entity. An electronic message is retrieved from a messaging client sent to the first organisational entity. The electronic message is analysed to identify entity-signifying metadata in the message. The ERP object data is queried in the data storage with the entity-signifying metadata to identify a further organisational entity. If a further organisational entity is identified, relationship data is identified associated with the further organisational entity. An automation sequence is selected based on the relationship data. The automation sequence is initiated, and the electronic message is processed in accordance with the initiated automation sequence.

Apparatuses, methods, and systems for generating a sequential flow of electronic actions for a user are disclosed. One method includes sensing a flow trigger action, scraping characteristics of an electronic presence of the user, characterizing user identifying information using an LLM (large language model) and the characteristics, determining a selection of actions and conditional splits (branches) to form a sequential flow of electronic messages for sub-users of the user, generating one or more electronic messages based on the identifying information and the determined sequential flow of electronic messages, displaying the one or more electronic messages to the user, sensing actions of the user based on the displaying of the one or more electronic messages, finalizing the electronic messages based on the sensed actions of the user, and electronically sending the one or more finalized electronic messages to sub-users of the user.

Systems and methods are described for a messaging agent for managed multidimensional search based on an electronic message and management policies. A messaging application at a client device can send a new electronic message, such as an email, to a connector service. An attachment can be ingested and stored in a vector database. Then one or more artificial intelligence (“AI”) agents can be selected for responding to the body of the email, such as a query in the body. The responses can be formatted and sent to multiple users, such as a sending user of the electronic message and a recipient user that was copied or also sent the new electronic message. The AI agents can use different AI models, prompts, and vector databases depending on user permissions. This allows for building up vector databases with relevant content items and answering user questions based on those vector databases.

An inquiry is received by a conversational artificial intelligence (AI) agent while the conversational AI agent is in a first dialogue state. The conversational AI agent classifies the inquiry to generate a classified inquiry and extracts one or more parameters from the classified inquiry. Next, the conversational AI agent determines a second dialogue state to transition to from the first dialogue state based at least on the extracted parameters. Also, the conversational AI agent determines one or more response outputs to generate based at least on the extracted parameters and based at least on the second dialogue state. Then, the conversational AI agent generates, based at least on the one or more response outputs, one or more electronic messages to be conveyed to a computing device to be displayed to a user, where the one or more electronic messages are in response to the inquiry.

A system and method for processing electronic data messages mitigate the transmission of one or more electronic messages including a sequence of data as a plurality of packets characterized by a sequence therebetween corresponding to the sequence of the data of the electronic message, each packet including data indicative of the sequence of that packet relative to the others of the plurality of packets, to a receiving system, prior to the sender determining that the message(s) is / are desired, alone or in conjunction with subsequently canceling or otherwise invalidating the message(s). The system and method mitigate such behavior by adding a timestamp when the packets are received, detecting if at least one of the received augmented packets of the electronic data message was received by the network interface in an order different from the sequence between the plurality of packets, and taking an action with respect to the electronic data message.

Disclosed herein are embodiments of systems, methods, and products comprises an analytic server, which automatically manages appointment scheduling. The analytic server receives a customer request to schedule an appointment. The analytic server determines the required data from both customer and service provider for making the appointment. The analytic server retrieves customer data comprising requested service attributes, user preferences, users attributes from internal database and external data source. The analytic server retrieves service providers' data comprising provider service attributes, providers' attributes from internal database and external data sources. The analytic server accesses external data source by web crawling various websites. The analytic server executes an artificial intelligence model to predict user preferences and needs. The analytic server determines potential service providers best matching the customer's input or predicted preferences. The analytic server generates an appointment for each matching service provider and transmits an electronic message comprising the appointments to customer device.

Briefly, example methods, apparatuses, and / or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and / or support one or more operations and / or techniques for an infrastructure for electronic message verification, such as implemented in connection with one or more computing and / or communication networks and / or protocols.