Abstract: A system and method for detecting and prevent identity theft attempts, such as phishing, vishing or other similar attacks is disclosed. A smart device, such as a smartphone operates in tandem with a biometric sensor, such as is included in a wearable device like a smartwatch or fitness tracker. The wearable tracks certain biometric and/or physiological data that can be used to identify whether the user is in a stressed state. The smart device then accesses usage logs that may indicate whether the stressed state is justified, such as whether the user had a calendar appointment at that time, or whether the call was received from a known contact etc. Justifications reduce the likelihood that the user's stress is a result of an identity theft attempt, whereas lack of justification increases the likelihood. In the latter scenario, the user is notified not to divulge sensitive information.

Abstract: Various embodiments are directed to dynamically and temporarily adjusting power to an NFC reader of a computing device from a first power level to a second power level based on a feedback mechanism between a contactless card and the computing device. The contactless card may provide a message containing a checksum. The computing device may receive the message and calculate a checksum based on the received message. By comparing these two checksums, it may be determined whether the entire message has been correctly received. If not, the power to the NFC reader may be temporarily increased to allow better communication between the contactless card and the computing device.

Abstract: In some embodiments, generating synthetic training datasets for training machine learning models in training data-sparse environments for non-homogenous predictions may be facilitated. In some embodiments, user-specific information associated with a user may be received. The system may generate synthetic training data representing one or more alternative actions corresponding to one or more characteristics by: labeling the user-specific information, determining (e.g., based on the labeled user-specific information) one or more characteristics of the labeled user-specific information, and determining (e.g., based on the one or more characteristics) one or more alternative actions corresponding to the one or more characteristics. The system may then train a machine learning model based on the synthetic training data to generate a prediction in response to providing an action of a first user to the machine learning model.

Abstract: Systems as described herein may implement non-persistent data caching using a dedicated web server. A non-persistent data caching system may determine that an application, executing on a computing device may require access to secure data located on a remote server external to the computing device. The non-persistent data caching system may initiate a dedicated web server on the computing device, retrieve the secure data from the remote server, and store the secure data in a volatile memory of the computing device. The non-persistent data caching system may subsequently redirect a request for at least a portion of the secure data from the application and to the dedicated web server, and the dedicated web server may send the requested portion to the application.

Abstract: A method of fabricating a transaction card for communicating data relating to a transaction may include forming a pattern in a plastic film using a laser plating process or a print-and-plate process; providing a conductive material in the pattern formed in the plastic film, using a plating process, to form a RF antenna layer in the plastic film, wherein the RF antenna layer includes a RF antenna; and affixing the plastic film to a surface of the transaction card to permit the RF antenna to inductively connect to a printed circuit board (PCB) of the transaction card.

Abstract: In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.

Abstract: In some implementations, a system may receive interaction data indicating an interaction time and amount. The system may categorize the interaction in a category of a plurality of categories. For each category, the system may compare a total category amount with an average category amount. The system may determine, for each category, a proportion of the total category amount relative to a total account amount. The system may transmit, to a user device, user interface data associated with a ring-shaped user interface element that includes a plurality of segments corresponding to the plurality of categories. The user interface data indicates a width of a particular segment that is based on the comparison of the total category amount for a corresponding category with the average category amount, and an arc length that is based on the proportion of the total category amount for the corresponding category to the total account amount.

Abstract: Aspects described herein may allow for vehicle tracking. Systems and methods described herein may allow a vehicle to automatically detect the presence of a physical marker at a parking space. An image of the physical marker may be processed to determine the location of the vehicle, which may be stored and/or output for display.

Abstract: In order to facilitate automated electronic calendar task management with automatic task scheduling, systems and methods are described including receiving and electronic meeting request to schedule a meeting. Work task data items identifying work tasks associated with the attendees are determined. A task estimation machine learning model predicts work parameters of meeting task objects based on the work task data items, and a work history data identifying work history of each attendee. A meeting scheduling machine learning model predicts parameters of unavailability period objects representing unavailability periods required to complete the work tasks based on the meeting task object, schedule information and location information. An indication of the at least one unavailability period is displayed on a screen of a computing device associated with each attendee. Selections of the unavailability period is received from the attendees, and the unavailability period is dynamically secured prior to the meeting.

Abstract: Various embodiments are generally directed to techniques for building data lineages for queries, such as SQL queries. Some embodiments are particularly directed to a lineage tool that is able to construct data lineages in a recursive manner that uses the text of a query to identify dependent tables. In several embodiments, the data lineage tool may parse SQL queries to identify columns and dependent tables, including analyzing interdependent queries used to populate dependent tables and proceeding until the true source of data is identified. In several embodiments, the data lineage tool may utilize the relationships and dependencies to build element and table level lineages.

Abstract: Aspects described provide systems and methods that relate generally to image analysis and, more specifically, identifying individual components and elements in an image. The systems and methods include a valuation application executing one or more application program interfaces (APIs) communicating with one or more websites via a network, where the user is prompted to enter information and/or take pictures or videos of their vehicle that they would like to sell. The valuation application utilizes a machine learning model to identify and value the various vehicle components within the images and videos. Based on the machine learning model, the valuation application identifies each component according to the images and videos and performs a search to determine the value of the components identified. The valuation application tabulates and summarizes the vehicle component resale values and resell information for the user to view.

Abstract: Disclosed herein are system, method, and computer program product embodiments for verification of proximity to a kiosk, such as an ATM. The mobile application installed on a mobile device may be used to setup a prestaged transaction. When the mobile device is in the proximity to the kiosk to complete the prestaged transaction, a location of the mobile device may be verified using ambient sound recorded by a microphone of the mobile device. The ambient sound may be songs, tones, or ultrasonic sound played by a sound system near the kiosk. The recorded ambient sound may then be compared to expected audio from the sound system to determine whether the mobile device is in proximity to the kiosk.

Abstract: The present invention relates to an artificial intelligence method and system for event predication, comprising: receiving, user messages, user activity data, event data, user identification information and transaction data; scraping webpages for additional event data; applying a natural language processing module to process the event data; constructing a training data set using the processed event data; constructing user preferences from the user messages, the user activity data, the user identification information and the transaction data; training a predictive model using the training data set to determine at least one upcoming event predictions determining to display the at least one event predictions based on the user profile; if it is determined to display one of the at least one event predictions, generating a graphical user interface display with a calendar depicting the at least one event prediction; and presenting the graphical user interface display to the user.

Abstract: Systems and methods for transforming data for a batch-based legacy software program into data suitable for processing by a streaming-based new software program. In some aspects, the system generates an information stream for multiple threads from batch information received from the legacy software program. The system processes the information stream for the multiple threads using the new software program. If there is a mismatch between outputs of the legacy and new software programs for at least one thread, the system adjusts a data model of the new software program to address the mismatch and generates an updated information stream for processing by the new software program.

Abstract: Disclosed herein are system, method, and computer program product embodiments for preemptively evaluating whether roles are over-privileged within an (IAM) identity and access management system. Roles may be over-privileged when they are granted permissions to perform certain actions outside the scope granted to those roles. The evaluation occurs without submitting the certain actions to the IAM system and allows roles to be evaluated on a preemptive basis so that corrective actions may be taken to prevent unauthorized access to resources. Roles may be associated with policies which may each define different permissions for accessing resources. The evaluation may involve generating an effective policy from the policies associated with a role to provide a comprehensive view of all permissions associated with the role.

Abstract: Methods and systems disclosed herein may optimize write operations in a transaction to reduce the number of operations to the point where each of the write operations may be performed in parallel. The writer optimizer may review a first write operation and a second write operation to determine whether the first write operation and the second write operation write to the same row in the same table. When the first write operation and the second write operation write to the same row in the same table, the first write operation and the second write operation may be combined to generate a functionally-equivalent third write operation. The third write operation may reduce the number of operations in the transaction by replacing both the first write operation and the second write operation.

Abstract: Disclosed herein are system, method, and computer readable media embodiments for global identity verification of a user for multiple services. In some embodiments, a centralized authentication platform (CAP) may receive a request from an independent service to generate an authentication token for a client device based on authentication performed by the service. The CAP may generate an authentication token of a particular authorization level, based on the method of authentication used by the service. The CAP may send the token to the client device as well as store the token in a database. The CAP may receive a second request from a second, unrelated service to validate the authentication token on the client device. The CAP may validate the token on the client device against the token in the database based on an authentication level thereof, and send a response to the second service indicating token validity.

Abstract: Disclosed is a contactless card, and a system in which the contactless card may be used. The contactless card may include a chip component, a communication interface, processing circuitry, and electromagnetic field sensing circuitry. The electromagnetic field sensing circuitry of the contactless card may be operable to provide orientation signals to the processing circuitry when the contactless card is in proximity to an oscillating electromagnetic field output by a card reader device. The processing circuitry of the contactless card may be operable to receive the orientation signals. An orientation of the contactless card with respect to the mobile device may be determined. An orientation indication signal may be generated based on the determined orientation, and a haptic indication, an audio indication, a visual indication or a combination directing movement of the contactless card in a particular direction may be output.

Abstract: In some embodiments, in connection with a user input of a user, a set of selective parameters to be configured by the user for a structured data query may be determined. As an example, the set of selective parameters may be a first set of selective parameters for the structured data query in response to the set of permissions being a first set of permissions. As another example, the set of selective parameters may be a second set of selective parameters different from the first set of selective parameters in response to the set of permissions being a second set of permissions. One or more input fields for configuring one or more selective parameters of the set of selective parameters may be generated for display, and an executable data query may be generated based on configuration information (related to the selective parameters) that is obtained via the input fields.