175 results about "Electronic messaging" patented technology

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.

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.

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.

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.

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.

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.

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.

In some implementations, the techniques described herein relate to a method including: (i) identifying, by a processor, an electronic message addressed to an inbox of a user that comprises a confirmation of a transaction involving a platform, (ii) searching, by the processor, for an additional electronic message addressed to the inbox indicating an alteration applicable to the transaction, (iii) causing display, by the processor, of a prompt informing the user of the alteration applicable to the transaction, (iv) composing, by a large language model (LLM) executed by the processor, a potential electronic message to an operator of the platform requesting the alteration be retroactively applied to the transaction, and (v) in response to receiving user input regarding the potential electronic message, sending, by the processor, a subsequent electronic message to the operator of the platform requesting the alteration be retroactively applied to the transaction.

Systems, computer program products, and methods are described herein for heightened data security via artificial intelligence (AI)-enhanced electronic message threat detection. Embodiments of the present disclosure are configured to receive an electronic message including a plurality of data elements, analyze the plurality of data elements to generate a first set of contextual data, generate a threat level of the electronic message, identify, if the threat level is below a threshold, one or more data elements of the plurality of data elements associated with a uniform resource locator, simulate the URL in an isolated environment to obtain a URL simulation, compare the URL simulation to the first set of contextual data to determine if the URL simulation matches the first set of contextual data, and block, if the URL simulation does not match the first set of contextual data, transmission of the electronic message to a user.

A network-connected device service receives a request to establish a communications session with a network-connected device. In response to the request, the service transmits a set of electronic messages to the network-connected device through an access point of the network-connected device to establish the communications session. The network-connected device service receives a notification from the network-connected device indicating whether the communications session has been established. If so, the service provides an indication to a controlling device that the session has been established. This enables the controlling device to submit commands executable by the network-connected device to the service, which provides the commands to the network-connected device through the access point.

The technology creates dynamic headers to organize electronic messages in a message client software application on a user device. The technology involves configuring criteria for headers to dynamically separate messages into groups based on metadata such as time parameters, sender, recipients, and urgency. Headers are generated and inserted into the user interface to separate messages that meet the criteria from those that do not. The criteria can be reconfigured, causing the headers and associated messages to be dynamically repositioned. The technology can reconfigure headers to dynamically modify display of the messages. The technology supports user input for criteria configuration and utilizes generative AI models to process metadata and generate headers, enhancing the organization and presentation of electronic messages.

Techniques are described herein that are capable of providing time-of-scan protection for a scannable encoded image in an electronic message or an electronic form. An electronic message or electronic form is received. The electronic message or electronic form includes a scannable encoded image. A uniform resource identifier (URI) that is encoded in the scannable encoded image is identified by decoding the scannable encoded image. The URI identifies a target data source. A wrapped URI is generated by wrapping the URI in a wrapper. The wrapped URI identifies a substitute data source. A replacement scannable encoded image is generated by encoding the wrapped URI. A replacement electronic message or replacement electronic form is generated by replacing the scannable encoded image in the electronic message or electronic form with the replacement scannable encoded image. The replacement electronic message is provided, or the replacement electronic form is published.

A server can receive a request from a creator of a message to share one or more rights of the creator of the message with a user referenced in the message. The server can send a notification about the one or more rights to the user referenced in the message, where the one or more rights may specify at least one of: whether the user is to receive feedback notifications of feedback related to the message, whether the user is to control visibility of feedback on the message by users, or whether the user is to control allowing feedback on the messages. The sever can then perform one or more operations related to the message based on the one or more rights accepted by the user.

Various embodiments relate generally to computer science, data science, software, and computer program and platform architectures, including providing an application comprising a processor, memory, one or more wireless radio communication devices, and an image capture device, extracting data representing an identifier of an item, forming a transaction associated with the item, linking the data representing the identifier to an account to form the transaction, identifying the item at a more merchant computing system, the merchant computing system being determined based on a geographic location, storing other data associated with the account, and retrieving the item at a physical location associated with the merchant computing system, the item being located and retrieved based on a signal transmitted from an adaptive distribution platform when the item is identified at the merchant computing system.

A system is presented for verifying the human sender of an electronic message using biometrics and securely transmitting the verification status to recipients. The sender registers an email account and provides a biometric sample. A public / private key pair is generated to encrypt a unique account identifier. When sending a message, the user authenticates with biometrics. The account identifier is encrypted with the private key and transmitted with the email. The receiving server decrypts the identifier using the sender's public key and verifies it matches the sender address. If matched, the message is tagged as verified. The invention prevents email spoofing by binding the user's identity to their account with biometrics. Encrypted verification data prevents tampering. Recipients can trust message integrity as the expected human sender is cryptographically verified.

The disclosed technology includes a technique for managing electronic messages on a user device. A device displays a list of graphical elements, each representing an electronic message, arranged chronologically on a message client interface. It identifies contacts from a contact list as senders of messages, associating respective icon images or photographs with these contacts. The device displays these icon images within the graphical elements. Additional features include designating favorite contacts based on communication frequency, designating VIP contacts based on user input, configuring new contacts with user-defined icon images, and accessing contact information independently of the message client. The technology also involves establishing connections with data stores to retrieve contact lists and icon images.

Secure computing infrastructure for electronic messages is described herein. A system can intercept an electronic message for transmission to a recipient device. The system can determine, prior to transmission of the electronic message for receipt by the recipient device, a category of the recipient device based on a domain name associated with an internet protocol address of the recipient device. The system can generate a plurality of content segments based on overlapping sequences of words in the electronic message. The system can identify, using machine learning models and based on the category of the recipient device, a security parameter to apply to the electronic message. The system can detect, using machine learning models, an incompatibility between a content segment and the security parameter. The system can block, responsive to the detection of the incompatibility, the transmission of the electronic message for receipt by the recipient device.

Network systems, classification methods, and related apparatuses for security analyses of electronic messages are disclosed. An apparatus includes an input terminal to receive message data corresponding to an electronic message to be delivered to a destination device and processing circuitry. The processing circuitry is configured to, if the electronic message includes an attached file, disassemble the attached file to obtain assembly code from the attached file. The processing circuitry is also configured to translate the assembly code to generate function labels corresponding to functions the assembly code is configured to instruct the destination device to perform. The processing circuitry is further configured to classify the electronic message as anomalous responsive to one or more of the generated function labels being identified as suspicious.