Abstract: Systems and methods are disclosed for executing an electronic transaction using a digital wallet. One method includes receiving a guest checkout request and electronic transaction data from an electronic transaction browser. Whether a user is enrolled in the digital wallet system may be determined by the digital wallet system. The digital wallet system may authorize an electronic transaction based on the electronic transaction data upon determining the user is not enrolled in the digital wallet system. The digital wallet system may initiate a digital wallet enrollment upon authorizing the electronic transaction. The digital wallet system may store the user data in the digital wallet system and transmit a verification request to the electronic transaction browser. The digital wallet system may receive a verification response from the electronic transaction browser and may generate a digital wallet enrollment status message based on the verification response.

Abstract: A valuation platform may receive, from a user device, video data associated with a vehicle, and may receive a vehicle history report of the vehicle based on a vehicle identification number of the vehicle. The valuation platform may receive, from the user device, feature data associated with the vehicle, and may process the video data, the vehicle history report, and the feature data, with a machine learning model, to determine one or more values for the vehicle. The valuation platform may determine a valuation for the vehicle based on the determined one or more values for the vehicle. The valuation platform may create a vehicle profile for the vehicle based on the video data, the vehicle history report, the feature data, the determined one or more values for the vehicle, and the valuation for the vehicle, and may perform one or more actions based on the vehicle profile.

Abstract: The present disclosure relates to methods, systems, and apparatuses for providing electronic communications to client devices based on clustering and filtering candidates for inclusion in the electronic communications based on programmatically generated correlation metrics and thresholds associated with the clustering.

Abstract: A method that includes receiving a string from a remote station, the string associated with an interaction event between a user and the remote station, is provided. The method includes verifying that the string includes a content validation for a user account in a network service, mapping at least a portion of the string to a ticker symbol associated with an entry in a database and transmitting, to the user, a message indicating that a fractional value associated with the ticker symbol has been added to the user account in the network service. A system configured to execute the above method is also provided.

Abstract: A system and method for dynamically tracking and capturing content and displaying the content on public or semi-public non-personal digital displays. In exemplary embodiments, the content may include an urgent notification that is displayed within a slot of looped content with the manner in which the urgent notification is displayed depending on the level of urgency and attributes of the non-personal digital displays.

Abstract: Examples of a system for intelligent communication management for content summarization are provided. In an example, the system receives a summary generation requirement. The system establishes a question database for generation a set of questions for a user corresponding to the summary generation requirement. The system implements an artificial intelligence component to sort the answers obtained from the question and generates a user-specific knowledge database. The system may use the user-specific knowledge model for generation of further questions for the user. The system may assist a user with collecting information in a conversational manner mode and to automatically produce intelligible deliverables. The system may accept multiple modes of input while collecting information from a user. The system may be used for an automatic summary generation for customer service conversations, interviews, conferences and presentations, a person's holiday chronicles, and the like.

Abstract: A system receives value data to generate a value data object based on input received from a user. The input may include indications of priorities, descriptors, and descriptions related to known and unknown properties. The system uses the generated value data object and associated value gap score to generate property valuation prompts. The valuation prompts are utilized by the user to input evaluation data. Based on the evaluation data and the value data object, the user generates a value score for each visited property.

Abstract: Systems and methods are provided for providing an adjustment to a value estimate for a property that is considered distressed. In one embodiment, a method includes receiving the estimate of value for the property; determining, based on a model, the adjustment to the estimate of value, such that the model accounts for a characteristic of the property and a characteristic of the loan; and providing the adjustment.

Abstract: Systems and methods for monitoring malicious software engaging in online advertising fraud or other form of deceit are disclosed herein. An example method includes identifying a communication process used by a compromised computing device to communicate with a control server, the control server providing access to advertising weblinks, the compromised computing device associated with malicious software, directing, by an instruction executed by a processor, the compromised computing device to communicate with an uncompromised computing device by re-routing of packets used for communication between the compromised computing device and the control server, the uncompromised computing device is configured to mimic communications between the compromised computing device and the control server using the communication processes, storing information from one or more packets transmitted from the uncompromised computing device, and creating a profile of the malicious software based on the stored information.

Abstract: A method, a computer program product, and a computer system. Activities of at least one customer with at least one tagged merchandise in possession of the at least one customer are monitored. The at least one tagged merchandise includes multiple Internet-of-Things (IoT) devices communicatively coupled over local communication channels to a central IoT hub which is communicatively coupled to an IoT service over the Internet. Each IoT device is designed for a particular application. The multiple IoT devices include respective multiple sensors with each sensor being particularized for the particular application of the IoT device that includes each sensor. The multiple IoT devices include a first IoT device that includes a first sensor configured to sense a type of interaction the at least one customer has with the at least one tagged merchandise to make a determination based on a gamification analysis of a qualifying event or a non-qualifying event.

Abstract: In general, the subject matter described in the specification can be embodied in methods, systems and program products for a verified participant database system that verifies information on potential participants for surveys and promotions that require numerous participants with certain characteristics. Among other features, the verified participant database system aggregates and preferably verifies information, for example, the demographic and purchasing information, of potential participants by receiving permission to obtain information from third-party sources.

Abstract: Systems and methods for using token application programming interfaces are disclosed. According to an embodiment, a method for using token programming interfaces may include: (1) receiving, at an eligibility application programming interface (API), a token or a Digital Primary Account Number (DPAN) for a financial instrument from a merchant or a payment facilitator backend; (2) calling, by the eligibility API, a Funding Primary Account Number (FPAN) lookup API with the token or DPAN; (3) receiving, by the eligibility API, the FPAN for the token or DPAN from the FPAN lookup API; (4) generating, by the eligibility API, an issuer reference identifier for the FPAN; (5) storing, by the eligibility API, a mapping between the FPAN and the issuer reference identifier; and (6) communicating, by the eligibility API and via the eligibility API, the issuer reference identifier to the merchant or the payment facilitator backend.

Abstract: An automated teller machine (ATM) includes a network interface, an input/output device configured to exchange data with a customer, and a processing circuit comprising a processor and memory.

Abstract: An improved electronic procurement system is disclosed. The electronic procurement system (“system”) implements features such as real-time adaptive extraction of online data. The system is configured to manage a plurality of page types for webpages and for each page type a plurality of field types for fields in webpages. The system is configured to further generate a computer application that can be integrated into a web browser. For each page type, the computer application is programmed to initially generate a signature for each field type based on minimal user interaction with webpages of the page type. The system is configured to also generate an agent using the signature. The agent is programmed to automatically extract data corresponding to the field types from additional webpages of the page type using the signatures. The agent or an associated background process is programmed to also automatically update the signatures when such data extraction is unsuccessful.

Abstract: A method collects word-based data corresponding to a first identifier. A first phrase vector is generated for the first identifier by extracting frequency data from the word-based data. A similarity metric is generated corresponding to the first identifier and a second identifier by comparing the first phrase vector of the first identifier to a second phrase vector of the second identifier. A tuple is generated that includes the first identifier and the second identifier using the similarity metric. A machine learning model is trained with the tuple to generate an embedded vector corresponding to the first identifier.

Abstract: An apparatus and method for abnormal situation detection are disclosed. An abnormal situation detection apparatus can map first sensor data among sensor data transmitted from a plurality of sensors into a vector value, convert it into first situation information in the form of an image pattern, and generate a learning model using the first situation information and an abnormal situation reference range. In addition, the abnormal situation detection apparatus can convert second sensor data among sensor data transmitted from a plurality of sensors into a form that can be input to the learning model, and determine whether an abnormal situation occurs by applying the converted second data to the learning model.

Abstract: A computerized-method for real-time detection of anomalous data, by processing high-speed streaming data. In a computerized-system receiving a data-stream comprised of unlabeled data points, and operating an Anomalous Data Detection (ADD) module. The ADD module receives at least one of: (i) k number of data point neighbors for each data point; (ii) X number of data points in a predetermined period of time; (iii) d number of dimensions of each data point, threshold; and (iv) n number of data points that said ADD module is operating on, in a predefined time unit. Then, the ADD module prepares a dataset having n data points from the received X data points; and then identifies one or more data points, from the received data stream, as outliers to send an alert with details related to the identified outliers, thus, dynamically evaluating local outliers in the received data stream.

Abstract: Methods and apparatus to group advertisements by advertisement campaign are disclosed. An example apparatus includes memory; instructions in the apparatus; and processor circuitry to execute the instructions to determine pixel color values from a reference advertisement of an advertisement campaign; remove bits from the pixel color values associated with the reference advertisement; determine a first color proportion corresponding the reference advertisement based on the pixel color values; associate the first color proportion with the advertisement campaign; and identify a second advertisement as associated with the advertisement campaign based on a second color proportion of the second advertisement relative to the first color proportion, the second advertisement different than the reference advertisement.

Abstract: The present disclosure provides a system and method for use in evaluating the trustworthiness of an artificial intelligence (AI) process. The trustworthiness evaluation may include both automated and manual evaluation of the AI process. Further, the system is provided with functionality for automatically evaluating and modifying the criteria used in evaluating the AI process.

Abstract: As described, an artificial intelligence (AI) design application exposes various tools to a user for generating, analyzing, evaluating, and describing neural networks. The AI design application includes a network generator that generates and/or updates program code that defines a neural network based on user interactions with a graphical depiction of the network architecture. The AI design application also includes a network analyzer that analyzes the behavior of the neural network at the layer level, neuron level, and weight level in response to test inputs. The AI design application further includes a network evaluator that performs a comprehensive evaluation of the neural network across a range of sample of training data. Finally, the AI design application includes a network descriptor that articulates the behavior of the neural network in natural language and constrains that behavior according to a set of rules.