Abstract: Embodiments of the present invention are directed to facilitating performing data extraction via efficient extraction rule matching. Generally, an extraction rule can be determined to match an event based on a two-step process. In particular, initially, a determination that a set of fixed substrings associated with the extraction rule matches fixed substrings of the event can be made. Based on fixed substring match, a determination can be made that a set of fields associated with the extraction rule matches fields of the event. In such a case, the extraction rule can be deemed to match the event and used to extract values from the event.

Abstract: Embodiments of systems and methods for indicating a type of secure boot to endpoint devices by a security processor are described. In some embodiments, a security processor may include: a core and a memory coupled to the core, the memory having program instructions stored thereon that, upon execution by the core, cause the security processor to: identify a type of secure boot last performed to bootstrap an Information Handling System (IHS); and make an indication of the type of secure boot available to a host processor or Baseboard Management Controller (BMC) of the IHS.

Abstract: A computer-implemented method for determining an emotional state of a user based on a facial expression of the user and causing to display the emotional state of the user to the user is provided.

Abstract: A system establishes an agent communication with a customer. An agent computer with a first processor and a first memory receives a batch notification identifying a batch of one or more customer records in the agent computer, for communication in the near future. The one or more customer records is associated with one or more customers. A second computer with a second processor and a second memory provides the batch notification identifying the batch of one or more customer records in the agent computer. The system connects the agent with the customer associated with a customer record selected from the batch by the agent.

Abstract: A method includes determining, by an analysis system, a system sector of a system for function evaluation. The method further includes determining, by the analysis system, at least one evaluation perspective for use in performing the function evaluation on the system sector. The method further includes determining, by the analysis system, at least one evaluation viewpoint for use in performing the function evaluation on the system sector. The method further includes obtaining, by the analysis system, function data regarding the system sector in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating, by the analysis system, a function evaluation rating as a measure of function maturity for the system sector based on the function data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

Abstract: Methods and systems are provided that are directed to identifying an individual having a specific skill and that is best suited for performing a particular task. The individual may be identified based on having a highest score for the skill out of a pool of individuals having the same skill. In examples, a score specific to each individual out of the pool of individuals having the same skill may be based on multiple interactions with the skill and may be adjusted based on a recency of when each interaction occurred and a level of involvement the individual had with the skill. Accordingly, individuals having recent experience with the skill may be scored, and therefore, ranked higher than individuals having experience with the skill that may have occurred further back in time. In examples, the information about the skills and experiences may be utilized to automatically generate the score.

Abstract: Systems and methods are described for determining an accuracy of crowd-sourced information. One or more servers can be configured to interact with and receive information from a plurality of devices/sources about an event, which may include, for example, sensors, social media platforms, and user inputs. The system can analyze information about the source and information about the event received from a source to determine the reliability and accuracy of the received information. This information can be cross-checked with social media posts, nearby sensor data, and other inputs to verify authenticity and accuracy. If an event is verified or deemed reliable, an alert can be transmitted to one or more recipients.

Abstract: In accordance with the present invention, systems and methods that allow a television broadcast facility or a headend to insert in-band messages, where the inserted message allow receivers to switch to, insert, or otherwise show addressable advertisements to its viewers.

Abstract: Methods and systems for depicting avionics data anomalies in an aircraft. Time series data is received from the avionics data source, a future time is predicted when a first anomaly threshold will be crossed based on the time series data, and the future time when the first anomaly threshold will be crossed is depicted on a display device associated with the aircraft.

Abstract: A tire wear prediction system (100) is provided with a wear prediction unit (110) for predicting a wear state of a tire mounted at a predetermined wheel position of a vehicle based on the traveling state of the vehicle, a change history acquisition unit (120) for acquiring a change history including the rotation of the wheel position on which the tire is mounted or a content of replacement with another tire, and a wear state correction unit (140) for correcting a reference of the wear state of the tire predicted by the wear prediction unit (110) based on the change history. The wear prediction unit (110) predicts the wear state of the tire based on the reference of the wear state corrected by the wear state correction unit (140).

Abstract: In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

Abstract: A method including receiving a record in a first timeframe; establishing a plurality of threat vectors for the record; merging the plurality of threat vectors to the record; generating a risk valuation for the record based on the plurality of threat vectors; merging the risk valuation to the record to form a risk event; and storing the risk event in a computer-readable data store.

Abstract: Embodiments of the present disclosure are directed to an interactive development environment (IDE) interface that provides historical visualization of queries and query result information iteratively and intuitively. According to an embodiment of the present disclosure, a process is provided to generate visualizations of queries and processed query result information in a single, persistent, integrated display. Each query and resultant search data information is presented iteratively in chronological order, and maintain a persistent, viewable history of a search data exploration session.

Abstract: Example methods, apparatus, and articles of manufacture to process insurance claims using artificial intelligence are disclosed herein. An example computer-implemented method, executed by a processor, to process an insurance claim using artificial intelligence includes interacting, with the processor, electronically with at least one of an insured person, a representative of the insured person, or a representative of an insured entity to obtain information related to an insurance claim, processing, with the processor, the information with a machine learning engine to identify an action to be taken for the insurance, and performing, with the processor, the action using a backend processing module that is also used by a person to process an insurance claim.

Abstract: A classification device includes processing circuitry configured to obtain operation logs describing operation content for a window on a terminal screen, classify the operation logs into a plurality of groups, using a document classification method, based on the operation content of the operation logs, and assign words characteristic of respective groups as labels to these groups, and cause an output device to output the operation logs assigned the labels.

Abstract: We are in a digital revolution. Over 85% of an organization's value is in digital form. Digital assets are systems, processes, data and technologies. Cyber exposures are quantified and cyber risks are scored. A graphical user interface visualizes a cyber-risk engine that quantifies cyber risk in alignment to how insurance companies pay claims, using flexible and multiple cyber risk algorithms that are prescribed in relationship to a customer's risk requirements. Digital asset cyber risk ratings are measured to increase cyber resiliency. A cyber risk management platform automates business processes across each cybersecurity function that provides data from near-real time cybersecurity tools for participants to reduce cyber risk back to acceptable risk tolerances and improve cyber resiliency.

Abstract: Exemplary embodiments provide methods, mediums, and systems for creating a processing activity map for an analysis workflow in a chromatography experiment. A result set for the analysis workflow may be created and maintained throughout various stages of the analysis workflow. When certain trigger conditions are met, the in-use version of the result set may be persisted. For example, a read-only historical archive copy of the result set may be created, while the previous version of the result set is used in further stages of the analysis workflow. The trigger conditions may include a number of situations such as moving backwards in the workflow and making a change, moving across gated step boundaries in the analysis workflow, or receiving an instruction to clear the result set. The persistent, historical copies of the result set may be used to support auditing of a compliance-driven analysis process.

Abstract: A specially programmed machine and method generates propensity information based on inputs received from machines connected as part of an Internet of Things (IoT) environment, where the machine appends a predictive segmentation attribute to each data input received and generates a matrix based on the counts of each attribute-input combination. The attribute-input counts for each combination are converted to a statistical metric that represents propensity information for consumers fitting into the segment associated with the particular attribute. The propensity information can be relayed to a client in a variety of ways, including a direct display of the propensity information, appendage of the propensity information to the clients database, or using the information to provide an audience report to the client.

Abstract: An electronic garage shelf is described. The system includes an electronic garage shelf which may be a metaphor for a shelf in a garage that is used to store parts for a vehicle. Merely for example, the electronic garage shelf may store a token part that signifies a part or smart component such as an oil filter, carburetor, spark plug, on a garage shelf in the user's garage. Further, the metaphor for a shelf in the garage may be expanded to include a virtual part that represents a part or smart component the user wants to acquire. Accordingly, the system may include garage shelf information comprised of virtual part information and token part information where the virtual part information may store virtual parts signifying parts that are desirable for acquisition and the token part information may store token parts signifying parts that are in the possession of the user.

Abstract: A method at a client device includes displaying media library information corresponding to a set of media items. The media items include one or more local media items, the one or more local media items including media items stored at the client device, and one or more remote media items, the one or more remote media items including media items stored at a remote system and not at the client device. The method also includes displaying, concurrently with displaying the media library information, affordances identifying the remote media items; detecting user interaction with an affordance identifying a respective remote media item; and in response to detecting the user interaction, initiating a process for downloading a copy of the respective remote media item to the client device for storage at the client device.

Abstract: Techniques for improving packaging systems are described. In an example, a computer system receives item data from a workstation. The item data includes a description of an item. The workstation is configured to facilitate packaging of the item. Based at least in part on an input to the predictive model, the computer system generates a package decision indicating a package type associated with the packaging of the item. The input is based at least in part on the item data. The predictive model is trained based at least in part on damage data associated with packaging. The computer system sends the package decision to the workstation.

Abstract: Techniques are described that provide a centralized system to coordinate disparate teams involved in handling various tasks, including, for example, the tasks relating to settling the affairs of an estate. In one described example, such techniques provide a centralized estate resource system (ERS) to create, manage, track, and coordinate task checklists and actions for each of the teams including interactions between teams. The ERS may assign specific personnel within each team to a given estate, send notifications and warnings to appropriate team members when tasks are due or complete, and facilitate messaging between team members to communicate when information is needed or has become available. The ERS may provide updated status and information across teams without violating privacy or security regulations, as may be the case with email, text messages, or voice messages.

Abstract: An apparatus for and a method of operating a fleet of vehicles. The apparatus provides a set of routes for moving entities of the fleet of vehicles, provides a request for at least two stops of an entity of the fleet of vehicles including at least one pick up location and at at least one drop off location, selecting a route from the set of routes for that a measure for a distance of one or more stops included in the request to the route meets a condition, inserting the at least one pick up location and at at least one drop off location as stops into the route and instructing to operate an entity according to the route.

Abstract: Input data provides an order of a quantity of finished goods to a site. Software is programmed for: accessing data defining an architecture of the supply chain network with sites, and a location of each site; enumerating one or more path solutions along the supply chain network to fulfill the order, each path solution comprising path fragments connecting two sites, a path fragment defining movement of a sub-quantity of the finished goods or raw materials; determining a cost associated with each of the plurality of path fragments, the cost comprising a duty rate, the duty rate associated with a particular path fragment based on the locations of the two sites connected by the particular path fragment and the sub-quantity of the finished goods or finished goods raw materials moved between the two sites; determining one or more optimal path solutions; and outputting the optimal path solutions for display.

Abstract: In an embodiment, communication data including an interaction between at least two individuals in an organization is received via at least two communication platforms. Content of the interaction is extracted to produce extracted content. A frequency of interaction and a type of interaction between the at least two individuals is determined based on the extracted content. A map representative of social interaction within the organization is generated. The map includes an indication of the frequency of interaction and the type of interaction between the at least two individuals. A new frequency of the interaction and a new type of interaction for at least a first individual of the at least two individuals with another individual is determined based on the map. A signal representing the new frequency of interaction and the new type of interaction with the other individual in the organization is provided to a compute device.

Abstract: Generating a model for evaluating organizational skills to determine cost of entering a new market includes training a machine learning model to define business capabilities, processes and required skills of an organization based on a current business strategy, training the machine learning model to define a plurality of skill classes of the required skills of the organization using the cognitive computing processor device, training the machine learning model to define skill profiles of the available talent of the organization based on the plurality of skill classes, determining skill gaps of the available talent of the organization by analyzing the required skills of the organization and the skill profiles, assessing skills required for a new business strategy for the organization, and determining a cost of the organization executing the new business strategy based on the skill profiles, the at least one skill gap and the new business strategy skills.

Abstract: A system includes a sensor and a tracking subsystem. The tracking subsystem receives an image feed of top-view images generated by the sensor. The tracking subsystem detects an event associated with an item being removed from a rack. The tracking subsystem determines that a first person and a second person may be associated with the event. In response, the tracking subsystem dilates contours associated with the first and second person from a first depth to a second depth until the contours enter a zone adjacent to the rack. A number of iterations is determined for each contour to enter the zone adjacent to the rack. If the first person's contour enters the zone in fewer iterations, the item is assigned to the first person.

Abstract: Embodiments of the systems described herein can implement one or more processes remotely delivering customized code to a host application and/or computing device. The host application may be configured as an Application Programming Interface with a customized code processing library that may configure the host application to receive further instructions remotely. The host application may be further configured to execute host code and/or third-party code. The host application may be configured to receive remote application logic, after the host application has been installed on a computing device, and to execute the received application logic to alter the behavior of the host application, such as selectively tracking end user interactions.

Abstract: Disclosed are a data processing method and device, the method including: setting the scale of data; analyzing and computing a correlation between the data according to the scale of the data; and processing the data on the basis of the correlation according to a processing method corresponding to a set processing type. According to different processing types, disclosed are: a data management and storage method; a method for establishing indexes and analyzing management data; a method for managing and storing data on the basis of indexes; a method for displaying data; a method for analyzing and computing data; and a method for progressive transmission of data.

Abstract: A diagnosis device includes a first acquisition unit, a second acquisition unit, and an associating unit. The first acquisition unit is configured to acquire, from a machine tool, context information including at least a monitoring specifying number identifying a machining process. The second acquisition unit is configured to acquire detection information output from a detection unit installed for the machine tool. The associating unit is configured to associate the monitoring specifying number included in the context information acquired by the first acquisition unit and the detection information acquired by the second acquisition unit.

Abstract: Methods, systems, and computer-readable storage media for executing a first application on a source system during production use of the source system, providing a second application on a target system, during the production use of the source system: migrating data from the source system to the target system based on a catalog delta, and a data delta, each of the catalog delta, and the data delta being periodically determined, and determining whether a completion time exceeds a threshold time, the completion time being determined based on a last-determined data delta, and, in response to determining that the completion time does not exceed the threshold time: halting production use of the source system, and completing migration to the target system based on the last-determined data delta.

Abstract: The techniques herein include using an input context to determine a suggested action and/or cluster. Explanations may also be determined and returned along with the suggested action. The explanations may include (i) one or more most similar cases to the suggested case (e.g., the case associated with the suggested action) and, optionally, a conviction score for each nearby cases; (ii) action probabilities, (iii) excluding cases and distances, (iv) archetype and/or counterfactual cases for the suggested action; (v) feature residuals; (vi) regional model complexity; (vii) fractional dimensionality; (viii) prediction conviction; (ix) feature prediction contribution; and/or other measures such as the ones discussed herein, including certainty. The explanation data may be used to determine whether to perform a suggested action.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to generate an alert or recommendation based on an activity log. In some implementations, a computer-implemented method includes receiving, at a processor, an activity log associated with one or more enterprise sub-processes for a first time period, determining, at the processor, change context data based on a comparison of the entity data and the associated interaction data with corresponding entity data and associated interaction data of a second time period, analyzing the change context data to determine atomic event data, providing the atomic event data associated with the enterprise process as input to a trained machine learning model, determining, using the trained machine learned model and the atomic event data, a predicted future state of the enterprise process, and generating and transmitting an alert or recommendation to one or more data sinks associated with the enterprise process.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating sellability and cancellability scores for selling objects on an electronic marketplace. An embodiment operates by receiving, from a mobile device, an image including an object for sale and determining information associated with the object for sale. Information associated with pre-identified objects is determined from information associated with pre-identified objects, where each of the pre-identified objects corresponds to the object for sale. A sellability score and/or a cancellability score is generated based at least in part on the information associated with the object for sale and the information associated with the pre-identified objects. The sellability score and the cancellability score are further provided to users.

Abstract: A system is provided as a computer server platform and application programming software installed in primary devices of users for exchanging and trading digital asset securely and anonymously between two users of the system. The digital asset is registered under a device account of a primary device of a user with the system using a unique device account name. The system respects “privacy by design” in GDPR by using device account based-on anonymized data instead of personal account based-on personal data of prior art to ensure the system does not collect, store and process users' personal data in the course of device accounts' set-up and transactions of digital assets.

Abstract: A system includes a distributed saga log, a first service, a second service, a first saga execution coordinator (SEC) instance collocated to the first service, and a second SEC instance collocated to the second service. The first SEC instance is configured to manage a transaction for the first service, access the distributed saga log, perform a task identified in the distributed saga log, and document actions initiated by the first SEC instance in the distributed saga log. The distributed saga log is accessible to the first SEC instance and the second SEC instance. Additionally, the distributed saga log is configured to maintain saga processing information associated with the actions initiated by the first SEC instance and the actions initiated by the second SEC instance.

Abstract: Methods, systems and apparatuses, including computer programs encoded on computer storage media, are provided for generating prediction models related to targeting and acquiring customers. Thousands of variables of historical data, including data for prospects and external data, are used to train the prediction models. The variables are pre-processed, then sensitivity analysis is performed on the input variables with respect to the target. The variables with the most influence on the target are selected and added to the feature set used for training a prediction model.

Abstract: Calculating a score for a chain of interactions in a call center may include: during a first training phase, train a first model which, given an interaction and interaction metadata, predict an initial estimated customer satisfaction score; during a second training phase, train a second model which, given an interaction and interaction metadata, text and metadata of an immediately preceding interaction in a chain of interactions, and features of the chain, predict a refined estimated customer satisfaction score; and during an inference phase: given a chain of interactions and metadata of each interaction, compute an initial estimated customer satisfaction score for each interaction using the first model; beginning with a second interaction in the chain and metadata of each interaction, compute a refined estimated customer satisfaction score for each interaction using the second model; combine the interaction scores into a combined customer satisfaction score; and output the score.

Abstract: Genetic-variant data is obtained that corresponds to one or more variants associated with a client. Each of the one or more variants corresponds to an instance of one or more bases positioned at one or more first positions in a first genetic sequence differ from corresponding one or more bases positioned in a reference genetic sequence. The first genetic sequence is a genetic sequence of the client. Sensor data is obtained that provides an indication of one or more characteristics of a current or past environment of the client. The genetic-variant data and the sensor data is processed to generate a disease-risk metric corresponding to a predicted risk of the client developing a particular disease. A communication is generated that is indicative of the disease-risk metric. The communication is transmitted to a remote device.

Abstract: An aspect of the disclosure provides a user equipment (UE) that includes processing circuitry. The processing circuitry of the UE determines whether to transmit service data associated with a service to a receiving device through a primary link or a sidelink. When the service data is determined to be transmitted through the sidelink, the processing circuitry selects a radio access technology (RAT) for implementing the sidelink from a plurality of available RATs according to a set of configuration parameters received from a network, determines communication parameters for the selected RAT based on quality of service (QoS) or service requirement related parameters included in the set of configuration parameters, and transmits the service data through the sidelink implemented by the selected RAT according to the communication parameters. When the service data is determined to be transmitted through the primary link, the processing circuitry transmits the service data through the primary link.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: A system and associated methods for apportioning inventory units between a plurality of warehouse nodes operated by third parties in order to meet desired service levels are provided. In some embodiments, the method includes receiving a placement request for a set of inventory units from a merchant, the placement request including desired service levels for shipment of product to customers. The method includes accessing a database storing a plurality of node data sets, each node data set being associated with a warehouse node. Based on the node data sets and the placement request, a set of warehouse nodes for storing the inventory units is selected and a number of inventory units is apportioned to each selected warehouse node. The method also includes providing placement instructions including the selected warehouse nodes and the number of inventory units to ship to each selected warehouse node.

Abstract: Input data comprises an order to provide a quantity of one or more finished goods to a site. Software is programmed for: accessing information that defines an architecture of a supply chain network comprising a plurality of sites connected by a plurality of path fragments; generating one or more path solutions to fulfill the order; removing one or more loops from the one or more path solutions; generating based on the one or more path solutions and the one or more removed loops, one or more revised path solutions; outputting the one or more revised path solutions for display on a client device; and transmitting, only to computers of the sites of a revised subset of a plurality of path fragments, a plurality of signals to initiate movement of one or more of raw materials or finished goods.

Abstract: A system comprising a telematics device associated with a vehicle, a first computing device, a second computing device associated with a driver of the vehicle, and a server is disclosed. The server may be configured to receive maintenance data from the telematics device, determine a repair for the vehicle based on the maintenance data, send a request to the first computing device for the repair to be performed by one or more service providers, estimate a period of time for performing the repair, assign an alternative form of transportation to be provided to the driver during the estimated period of time, and send, to the second computing device, one or more notifications regarding at least one of the repair to be performed by the one or more service providers, the estimated period of time for the repair, or the assigned alternative transportation to be provided to the driver.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: Aspects of the disclosure relate to controlling enterprise software policy compliance assessment processes based on quantum combinations of assessment elements. A computing platform may receive an assessment dataset and may generate a time-independent requisite work dataset. The time-independent requisite work dataset may include assessment information identifying a plurality of real branded assessment quanta and priority information identifying a plurality of priority scores. Each priority score of the plurality of priority scores may correspond to an assessment quantum of the plurality of real branded assessment quanta. The computing platform may optimize the time-independent requisite work dataset by aggregating related assessment quanta associated with the plurality of real branded assessment quanta, and this may produce a prioritized schedule of application assessment quanta.

Abstract: Aspects of the disclosure relate to a production protection correlation engine. In some embodiments, a computing platform may acquire access permission data aggregated from a plurality of data sources and normalize the access permission data. Then, the computing platform may identify user-specific entitlements and classify user roles. Next, the computing platform may tag the normalized permission data based on user role classification data. Based on the tagging, the computing platform may identify at least one enterprise user having one or more toxic access permissions and, in response, trigger an access review process. In turn, the computing platform may revoke one or more incompatible access permissions. Then, the computing platform may transmit updated access permission data to a system of record, causing the system of record to store the updated access permission data in a database and limit access to enterprise resources based on the updated access permission data.

Abstract: A non-transitory computer readable medium includes instructions that when executed by a processor, cause the processor to detect an attempt to record content being displayed on a display, cause, in response to detecting the attempt, an obstruction to be displayed on the display to block viewing of the content on the display, and remove the obstruction on the display to allow viewing of the content on the display when one or more conditions are met.

Abstract: Technologies are disclosed for providing a common information model. Features include: detecting a scheduled time for a key performance indicator reflecting how a service provided by one or more entities is performing, entity definition information recording the association between the entities and its machine data, service definition information associating the entities that provide the service, and the KPI being defined by a search query, including a field identifier specified in a data model, the KPI derives a value from the machine data; performing the query in response to said detecting, including: associating values in the machine data having disparate field names in accordance with disparate schemas with the field identifier specified in the data model, and processing the associated values as semantically equivalent data instances. In doing so, values having the same semantic (or related semantics) can be used together despite being associated with disparate field names from disparate schemas.

Abstract: Presented here is a method to predict whether a user of a wireless telecommunication network will report a problem or issue associated with the wireless telecommunication network. A processor can obtain multiple key performance indicators (KPIs) describing a user experience with the wireless telecommunication network. The processor can calculate at least a daily value of each KPI according to a rule specific to the KPI. The processor can create an image representing a value of each KPI, where a first axis of the image identifies the KPI, and where a second axis of the image represents the daily value of the KPI. The processor can predict whether the user of the wireless telecommunication network will report the problem by providing the image to a machine learning model and receiving a prediction from the machine learning model whether the user of the wireless telecommunication network will report the problem.