Abstract: Lifelong Deep Neural Network (L-DNN) technology revolutionizes Deep Learning by enabling fast, post-deployment learning without extensive training, heavy computing resources, or massive data storage. It uses a representation-rich, DNN-based subsystem (Module A) with a fast-learning subsystem (Module B) to learn new features quickly without forgetting previously learned features. Compared to a conventional DNN, L-DNN uses much less data to build robust networks, dramatically shorter training time, and learning on-device instead of on servers. It can add new knowledge without re-training or storing data. As a result, an edge device with L-DNN can learn continuously after deployment, eliminating massive costs in data collection and annotation, memory and data storage, and compute power. This fast, local, on-device learning can be used for security, supply chain monitoring, disaster and emergency response, and drone-based inspection of infrastructure and properties, among other applications.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: building, by one or more DNA processor, a DNA strand corresponding to a conditional expectation. The methods include, for instance: obtaining, by one or more DNA processor, a conditional expectation having a regularization metric.

Abstract: A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of “active ontologies” (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.

Abstract: Systems for generating attack event logs are disclosed. An example system includes a storage device for storing an event log template. The system also includes a processor to receive a selection of the event log template, and receive an attack description comprising user instructions to fabricate synthetic log entries according to a format defined in the event log template. The attack description includes variables and rules for determining values for the variables. The processor generates the attack event log by determining values that satisfy the rules and writing the values into selected fields of the event log template.

Abstract: A method of classifying an electronic document from an electronic media source includes generating statistical data from one or more training documents and creating a plurality of classification rules, including creating at least one topic model-based classification rule using the statistical data and creating at least one query-based classification rule using one or more user defined categories and the statistical data. The method further includes classifying the electronic document using the at least one topic model-based classification rule. Example systems for classifying an electronic document from an electronic media source are also disclosed.

Abstract: Embodiments are directed to managing data for a predictive learner recommendation platform. A platform that includes applications hosted in an application layer may be provided. The applications may be employed to provide a request to determine a pathway prediction for a learner such that the pathway prediction may be associated with a role offered by employers. Prediction engines associated with the request may be determined based on the service layer interface and the request such that the request may be provided to the determined prediction engines via the service layer interface. The prediction engines may be employed to generate the pathway prediction based on a learner profile that corresponds with the learner, a role success profile that corresponds to the employers, and models that are trained to predict matches between the learner profile and the role success profile.

Abstract: A disclosed system for transport asset monitoring, for example monitoring truck trailer unloading progress at large retail locations, includes an artificial intelligence (AI) solution for managing operations at a facility. The AI solution analyzes current load percentage and other data to predict availability for moving the transport asset and ability to accept a new incoming transport asset. Predictions of availability can reduce response times, resulting in higher utilization rates for assets, thereby improving efficiency. An exemplary system includes a sensor configured to sense operation progress parameter data for a transport asset; and logic to receive the operation progress parameter data from the sensor; determine, using the AI solution and based at least on the operation progress parameter data, a predicted milestone parameter; and report the predicted milestone parameter to a remote node.

Abstract: Aspects and features of the present disclosure can reconcile node sharing within a production rule network that is fully coded in a compiled language. As an example, the shared, stateless class can represent constraints shared by the alpha node of a rete network. Code can be post processed to create a shared stateless class defined in memory. When the rule engine is executed and the rule network is produced, the shared stateless class can be referenced to evaluate a constraint shared by a node of the production rule network, reducing the number of classes stored in memory. Garbage collection can be used within the shared stateless class, deleting objects from memory structure when no longer used, further improving storage efficiency.

Abstract: A method for training a probabilistic encoder-decoder having a latent space, the method including: extracting different types of medical data for a group of individuals; creating a data matrix X including the extracted medical data, wherein each row of the data matrix X includes data for one of the group of individuals; creating condition matrix C including features to define a clinical condition, wherein each row of the condition matrix C includes the condition data for one of the group of individuals; and training the encoder and the decoder to learn the latent space by minimizing the reconstruction loss and using a regularization effect to force clinically similar inputs to be close together in the latent space.

Abstract: In an approach for conversational interchange optimization, a processor monitors conversations in a communication system. A processor generates a list of topics in the conversations. A processor determines a flow for each topic based on length of time, number of participants, and sentiment associated to each topic. The flow is the progress of interactions and shifts for each topic. A processor builds a statistical model for each topic based on the flow to predict success or failure of a topic progression for an incoming conversation. A processor updates the topic progression for the incoming conversation based on the predicted success or failure.

Abstract: The system obtains a first acyclic graph including multiple nodes and edges connecting the multiple nodes. A process to create a weave of the first acyclic graph produces a matching weave when executed on the first acyclic graph by different computing devices. An addition of a node to the first acyclic graph produces a second acyclic graph. The addition of the node to the first acyclic graph changes the weave of the first acyclic graph. The system obtains a process to reach a global consensus among the multiple computing devices. The process indicates a criterion to satisfy prior to reaching the global consensus and determines whether the multiple computing devices in the network satisfy the criterion. Upon determining that the criterion is satisfied, the system adds a finalize node to the first acyclic graph to obtain a third acyclic graph. A weave of the third acyclic graph cannot change.

Abstract: A bearing fault diagnosis method based on a fuzzy broad learning mode includes steps of constructing an initial fuzzy broad learning model based on a broad learning system and a fuzzy system, training the initial fuzzy broad learning model through training set data to obtain a target fuzzy broad learning model. The training set data includes a plurality of bearing vibration signal data with a fault type label; and a membership value of a bearing vibration signal data to be tested is calculated by the target fuzzy broad learning model. A fault type of the bearing to be tested is determined based on the membership value. The bearing fault diagnosis method reduces learning time. When determining the fault type of the bearing to be tested by the target fuzzy broad learning model, it has strong robustness, fast diagnosis speed and high fault diagnosis accuracy.

Abstract: Methods, systems and compositions that allow for treating a patient according to a patient customized therapeutic regimen are provided. Embodiments of the invention include obtaining dosage administration information from a patient and using the same to tailor a therapeutic regimen for the patient. Embodiments of the invention further include preparing and forwarding to the patient physical pharmaceutical dosages based on the customized therapeutic regimen.

Abstract: Embodiments of the present disclosure generally relate to a network-based real-time enterprise travel management system that can facilitate planning, booking, scheduling, and managing travel, while also facilitating expense budgeting and reporting. Embodiments of the present disclosure can provide systems and methods for generating and managing a predictive itinerary associated with travel and/or an event, as well as a centralized marketplace for accessing various services and events.

Abstract: A system and method for generation of automated forecasts for a subject based on one or more input parameters. The subject located at an end node of a hierarchy. The method includes: receiving historical data associated with the subject; determining the sufficiency of the historical data based on a feasibility of building a machine learning model to generate a forecast with a predetermined level of accuracy using the historical data; building the machine learning model using the historical data when there is sufficiency of the historical data; building the machine learning model using historical data associated with an ancestor node on the hierarchy when there is not sufficiency of the historical data; generating a forecast for the subject using the machine learning model based on the one or more input parameters; and outputting the forecast.

Abstract: The present disclosure provides data-driven methods and apparatuses for predicting user inquiries. One exemplary method includes: collecting user behavior data and pre-processing the user behavior data when a user inquiry is received; extracting candidate user behavior data that is contributive to the user inquiry from the pre-processed user behavior data; screening the candidate user behavior data based on a set target behavior data set, and selecting candidate user behavior data that is contained in the target behavior data set; inputting the screened candidate user behavior data into a trained classifier model; and predicting an inquiry category to which the user inquiry belongs. One exemplary apparatus includes a pre-processing module, an extraction module, and a prediction module. The method and the apparatus embodiments of the present disclosure can improve the efficiency and accuracy of the prediction.

Abstract: The transport allocation planning system includes a transport allocation planning apparatus that creates a transport allocation plan and a user apparatus communicably connected to the transport allocation planning apparatus. The transport allocation planning apparatus transmits an inquiry related to a movement demand of the user to the user apparatus, receives an answer to the inquiry, estimates a movement demand of the user based on the answer, and creates a transport allocation plan based on the estimated movement demand. The user apparatus stores sensor information that is information indicating a current state or a past state of the user apparatus and a utility calculation model for calculating utility of the user during a movement, calculates the utility of the user by applying the sensor information to the utility calculation model, generates an answer to the inquiry based on the calculated utility, and transmits the generated answer to the transport allocation planning apparatus.

Abstract: A vehicle dispatch service boarding location determination method uses a vehicle dispatch information data server and a terminal to determine a boarding location for a dispatched vehicle based on a vehicle dispatch request from the terminal. When there is a vehicle dispatch request, position information of a vehicle dispatch request point is acquired. Boarding location candidates present in a periphery of the vehicle dispatch request point are calculated based on the position information point and map information. A boarding location recognition difficulty, which is a difficulty for the user in recognizing the boarding location candidate as a boarding location, is calculated for each of the boarding location candidates. A boarding location candidate for which the boarding location recognition difficulty is low among the boarding location candidates is determined as the boarding location where the user will be picked up by the dispatched vehicle.

Abstract: In an embodiment, described herein is a system and method for creating a suggested task set to meet a target value. A cloud server, in response to receiving a request specifying a target value, retrieves completed task sets from a database. Each completed task set includes a same set of task categories. The cloud server derives a number of ratios from the retrieved completed task sets, including a composition ratio and a conversion rate for each task category, and an addition ratio for the number of completed task sets. Based on the derived ratios and the specified target value, the cloud server constructs the suggested task set, and displays in real-time the suggested task set together with current values for the task categories. The cloud server alerts users of a discrepancy between a current value and the corresponding suggested value for a task category when the discrepancy reaches a predetermined level.

Abstract: A system may determine an initial safety prediction for a driver or rider associated with a shared mobility service. Then the system may receive, from various sensors, sensor data collected during operation of a vehicle. The system may determine a subset of the sensor data related to one or more shared mobility statuses, then determine, based on the subset of the sensor data, a safety score for the driver and/or rider. The system may further perform operations based on the safety score and/or the initial safety prediction.

Abstract: A system for failure detection tools is disclosed. The system may include at least one user device, an application server, and a failure detection system, each of which may be in communication with one or more of the others via at least one network. The failure detection system may receive first data from a data source, process the first data to generate second data, apply a statistical modeling algorithm to make a prediction relating to the first data or the second data, and communicate data relating to the prediction and/or a trend related to the first data or the second data to the user device for displaying at least a portion of the data relating to the prediction and/or the trend on a display of the user device.

Abstract: A method and a smart gas Internet of Things system for maintenance scheduling and management based on gas safety are provided. The method may comprise the following operations. Gas-related features of at least one area may be obtained, alert vectors of the at least one area may be determined based on the gas-related features, the alert vectors including a leakage alert value, a count of on-call maintenance personnel in the at least one area based on the alert vectors may be determined, whether the count of on-call maintenance personnel meets a preset threshold may be determined, in response to a determination that there is at least one area where the count of on-call maintenance personnel meets the preset threshold, a real-time scheduling policy based on a scheduling capability value of the at least one area where the count of on-call maintenance personnel meets the preset threshold may be determined.

Abstract: A worksite management system may include a worksite controller including one or more worksite controller processors configured to receive a signal indicative of a task to be performed by a machine at a worksite, identify a machine for performing the task, and generate a signal indicative of the machine. The worksite management system may also include a mobile device including one or more mobile device processors configured to receive the signal indicative of the machine, display an image representative of the machine, and display a prompt for a person at the worksite to validate availability of the machine to perform the task.

Abstract: A computer assisted surgery system includes a controller configured to display images of the surgical procedure according to a workflow plan. The controller is configured to retrieve data and determine the workflow plan based on the data. The controller may also be configured to record and store data related to the surgical procedure on, for example, a hospital network.

Abstract: A system and method are provided for persisting data generated in executing a process workflow. The method is executed by a device having a communications module and includes receiving via the communications module messages exchanged in executing the process workflow by a message broker. The method also includes using a writer service to disassemble each received message into multiple properties according to a database schema and persist the received message in a database according to the database schema via the communications module. The method also includes using a reader service to access the database and assemble the multiple properties of a first persisted message, in response to a read request received via the communications module, wherein the reader service is separate from the writer service.

Abstract: A method, a system, and a computer program product for generating and/or using one or more workflow managers in computing systems. A request to generate a computing workflow is received. The workflow includes a plurality of computing functions. A plurality of configuration parameters associated with the workflow are determined based on the received request. The configuration parameters define a configuration of execution of one or more functions. One or more connection objects for connecting the functions to one or more data sources storing data required for execution of the functions are identified. The plurality of functions are arranged for execution in a predetermined order using the determining plurality of configuration parameters and identified connection objects. The predetermined order is specified using one or more configuration parameters. The workflow is generated, compiled and executed.

Abstract: In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

Abstract: A method, computer system, and a computer program product for anomaly detection is provided. The present invention may include converting business process logs into a graphical data structure. The present invention may include generating an optimized graph encoding for anomaly detection using an unsupervised machine learning model. The present invention may include computing an anomaly score for each activity of the business process log using a process aware metric based on feature representation. The present invention may include labeling each of the one or more data points with a high anomaly score.

Abstract: Described herein is a computer-implemented method. The method comprises receiving an operation notification in respect of a gated operation from a change requesting system, determining an issue type associated with the gated operation, and creating an issue of the determined issue type. The method further comprises determining that the issue has transitioned state from a pending workflow state to a particular operation resolution workflow state and, in response, generating an operation resolution message which is communicated to the change requesting system.

Abstract: A computer model is created for automatically evaluating the business value of computing objects such as files and databases on an endpoint. This can be used to assess the potential business impact of a security compromise to an endpoint, or a process executing on an endpoint, in order to prioritize potential threats within an enterprise for human review and intervention.

Abstract: A method of deception detection based upon ocular information of a subject provides a video camera configured to record a close-up view of a subject's eye. A cognitive state model is configured to determine a high to a low cognitive load experienced by the subject. An emotional state model is configured to determine a high to a low state of arousal experienced by the subject. After asking a question, the ocular information is processed to identify changes in ocular signals of the subject. The cognitive state and emotional state models are evaluated based solely on the changes in ocular signals where a probability of the subject being either truthful or deceptive is estimated for a binary output.

Abstract: Techniques for a modeling platform associated with simulating risk models. According to certain aspects, systems and methods include simulating the risk model over time. The risk model may include a hierarchical tree formed of component assumption objects associated with distribution functions. The systems and methods may apply a time function to generate time-adjusted values for the component assumption objects corresponding to defined distribution functions. The systems and methods may then combine the time-adjusted values to generate time-adjusted values for parent assumption objects.

Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.

Abstract: A processor-implemented method includes receiving, from a mobile device, transmission information corresponding to an audio data transmission associated with an audio data packet loss of one or more audio data packets. The processor determines, based at least in part on the transmission information, a geographic region associated with a wireless communication network transceiver. The processor further determines an average audio data packet loss rate associated with the geographic region and a correlation between the audio data packet loss and at least one key performance indicator (KPI). The KPI is indicative of the audio data transmission. Based at least in part on (i) the average audio data packet loss rate and (ii) the correlation between the audio data packet loss and the at least one KPI, the processor generates a handover instruction comprising at least one threshold value for transitioning control from a first cell channel to a second cell channel.

Abstract: Systems and methods for identifying, categorizing, reporting, and/or remedying knowledge risks of a workforce. The systems and methods can operate automatically and in real-time. Risks can be identified on a per-skill basis using a plurality of risk factors. Graphical user interfaces can be generated to present knowledge risks across an entire enterprise or portion thereof in easily digestible formats. Upskilling recommendations can be generated based on categorization of knowledge risks.

Abstract: Various embodiments of a system and method for generating a delivery plan for multi-tier delivery schemes are described. Embodiments may include generating a delivery plan for a region including multiple delivery locations. The delivery plan may specify at least one agent delivery route within the region. The delivery route may include at least one shipment acquisition location coinciding with an expected travel route of a vehicle conveying shipments. The agent delivery route may be traversed by an agent that is to deliver a specific group of shipments acquired from the vehicle at the shipment acquisition location. Embodiments may include selecting the specific group of shipments for delivery on the delivery route. The selecting is based on a time constraint for delivering the group of shipments to respective delivery locations along the delivery route, and historical delivery time information for previous deliveries to the delivery locations along the delivery route.

Abstract: People and packages are delivered to and picked up from delivery locations by autonomous vehicles that also carry autonomous robots. When a package needs to be picked up or delivered at a particular location, an autonomous robot is deployed from the delivery vehicle and takes the package to the doorstep or other predetermined location or picks up the package from that location and brings it back to the delivery vehicle. After this pickup or delivery, the autonomous robot stows itself back in the delivery vehicle.

Abstract: Embodiments provide methods for validating secure delivery of an IHS (Information Handling System) by confirming that the packages by which the IHS was delivered include only the packages used to ship the IHS from a factory or other trusted entity. During factory provisioning of the IHS, a shipping certificate is uploaded to the IHS, where the certificate includes shipping identifiers that are each associated with a package used to ship the IHS. Upon receiving packages by which the IHS has been shipped, shipping identifiers, such as bar codes and RFID codes, are collected from the received packages. The shipping identifiers collected from the received packages are compared against the shipping identifiers from the shipping certificate in order to validate the plurality of received packages as the same packages that were used to ship the IHS.

Abstract: An apparatus and method for transport management is presented. The apparatus may include at least a processor and a memory communicatively connected to the at least a processor. A memory may include instructions configuring at least a processor to receive transport data of a transport. Processor may be configured to categorize the transport into a stage subgroup as a function of the transport data. Processor may be configured to communicate transport data of a stage subgroup to at least a transportation entity. Processor may be configured to generate a data query requesting or searching for updated transport data of the transport. Processor may be configured to update the one or more stage subgroups as a function of the data query.

Abstract: Revising a delivery route for a user based on, at least, identified disruptions is provided. A computer device identifies delivery parameters for a delivery, wherein the delivery parameters include (i) a delivery route from a shipping location to a delivery location, and (ii) one or more delivery constraints. The computing device displays the delivery route on a graphical user interface (GUI), wherein the GUI is configured to be interacted with by one or more users. The computing devices receives from a user via the GUI, a definition of an environmental disruption. The computing device generates a revised delivery route, wherein the revised delivery route modifies the delivery route to avoid the environmental disruption while satisfying the one or more delivery constraints. The computing device displays the revised delivery route on the GUI.

Abstract: A delivery lockbox assembly includes a lock box which has a recess to accommodate a foundation of a building. The lock box has a front entry which is positioned outside of the building to facilitate a parcel to be delivered into the lock box. The lock box has a back entry which is positioned within the building thereby facilitating the back entry to be accessible to an occupant of the building for retrieving the parcel. A locking unit is integrated into the front entry inhibit the parcel from is removed from the lock box by an unauthorized person. the locking unit has an access unit is integrated into the locking unit wherein the access unit is configured to be manipulated by the delivery person. The locking unit is in remote communication with a personal electronic device to alert the occupant that the parcel has been delivered into the lock box.

Abstract: Methods, systems, devices and/or apparatuses for an electronic shipping label. The electronic shipping label includes a communication device that is configured to obtain from an electronic device multiple electronic image files. The electronic shipping label includes a touch-screen display that has one or more user interface elements that are configured to toggle among the multiple electronic image files and initiate access to the shipping container. The electronic shipping label includes a processor. The processor is configured to obtain a first electronic image file from the multiple electronic image files. The processor is configured to render the first electronic image file during a first leg of the plurality of legs of the shipping itinerary. The processor is configured to access a second electronic image file from the multiple electronic image files or the shipping container when the one or more user interface elements are selected.

Abstract: The disclosure provides an articles picking method, a control system and an articles picking system, and relates to the technical field of intelligent warehousing. The articles picking method of the present disclosure includes: receiving an order of a single articles picking point of an AGV arriving at an articles picking point, the order of the single articles picking point comprising information of articles belonging to a same articles picking point in one or more orders associated with the AGV; recommending the order of the single articles picking point to articles pickers of no less than a predetermined number; setting the order of the single articles picking point to be an assigned state to avoid the order of the single articles picking point being picked repeatedly in the event that there is an articles picker taking the order of the single articles picking point.

Abstract: A method, system and apparatus for coordinated distribution of hairstyling products using automatic pumps connected over a computer network is described, including, identifying a customer model of a customer, and receiving a product request for the customer. Based on the product request, a product and an amount of the product is determined to be distributed and a networked pump us selected, based on the product and the amount. For the selected pump, a request for distribution for the amount of the product is generated, and the selected pump automatically distributes the amount of the product based on the request for distribution. A confirmation of a distribution of the amount of the product is received from the selected pump, and the customer model is updated based on the amount of the product distributed.

Abstract: A method for verifying field device inventory includes connecting a processing unit to a network; reading the address space of the network using the processing unit to generate a list of field devices contained in the address space; establishing communication between the processing unit and a field device contained in the list; reading out identification information of the field device using the processing unit, the identification and a characteristic parameter of the field device; carrying out a consistency check, a negative result being achieved if a field device is already entered under the serial number that has been read out; checking, if a negative result, whether a characteristic parameter of the field device corresponds with the characteristic parameter that has been read out; and outputting a notification using the processing unit that a characteristic parameter assigned to the field device deviates from the parameter that has been read out.

Abstract: A system and method are disclosed for receiving only historical supply chain data from an archiving system for one or more supply chain entities storing items at stocking locations, predicting one or more supply chain events during a prediction period by applying a prediction model to a sample of historical supply chain data, calculating an occurrence risk score for at least one of the one or more supply chain events and indicating a possibility that the at least one of the one or more supply chain events will occur, generating one or more alerts identifying at least one item and at least one alert stocking location, rendering an alert heatmap visualization comprising one or more selectable user interface elements, and provide one or more tools for initiating corrective actions to be undertaken in order to resolve one or more underlying causes of the at least one alert supply chain event.

Abstract: Systems and methods for tracking items. A system for tracking an item is configured to scan the item for a computer readable code and convert the computer readable code into a digital identifier associated with the item. The system includes a controller circuit configured to receive authentication information from the mobile computing device, receive a request from the mobile computing device, comprising the digital identifier and a request for information relating to the item. When the memory has the information, the controller circuit obtains the information from the memory and generates an output comprising the digital identifier and the information for display. The output is based on a comparison of a location of the mobile computing device and an expected location of the item.

Abstract: Embodiments of systems and methods for resolving remote meeting conflicts using learned attributes and context information are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: determine, based upon context information collected by the IHS, that a user of the IHS is more likely to attend a first remote meeting than a second remote meeting, where the first and second remote meetings are scheduled to take place, at least in part, concurrently; and in response to the determination, apply one or more settings to the IHS that are associated with the first remote meeting.

Abstract: A meeting system facilitates spontaneous social encounter between users with a meeting server. The meeting server obtains calendar data, user preferences, and an organization chart associated with each user of a plurality of users. The meeting server selects a first user and a second user for a social encounter based on the calendar data, user preferences, and roles in the organization chart. The meeting server prompts a first user device associated with the first user, and a second user device associated with the second user, for a social encounter. Responsive to obtaining acceptances from the first user and the second user, the meeting server facilitates the social encounter between the first user and the second user.

Abstract: A user may purchase a subscription service online, which may be purchased as a gift for a gift recipient. At the end of the gifted subscription, the gift recipient may wish to continue the subscription without interruption. However, the subscription order may be stored in memory in association with the purchaser, and there may be no way to automatically link, in memory, the data in a gift subscription order and the data in a new subscription ordered by the gift recipient. In some embodiments, data associated with a subscription order includes a subscription transfer object, which stores subscription information specific to the subscription recipient and omits personal information associated with the purchaser. In some embodiments, a subscription identifier is issued to the recipient, which, when provided to the platform, allows the subscription transfer object to be transferred over to a new subscription for the recipient.