Abstract: A sensitivity index model for predicting the sensitivity of an entity to a potential future disruption can be trained using a process that includes dividing a population of entities for which data attributes are available into matched pairs in a first sub-population and a second sup-population based on matching propensity scores for the entities using supervised machine learning, modeling outcomes for the two sub-populations, using the resultant models to calculate expected performances of the entities under differing conditions, and generating the sensitivity index model using supervised learning techniques based on quantification of differences between the calculated expected performances for the entities.

Abstract: Method, apparatus and computer program product for facilitating event creation and modification in a group-based communication platform are described herein.

Abstract: A multiple regression analysis apparatus capable of accurately performing a multiple regression analysis is provided. A multiple regression analysis apparatus includes a determination unit, a division unit, an analysis unit, and a regression equation acquisition unit. The determination unit determines one of a plurality of explanatory variables that is effective as a parameter when stratification of a plurality of data sets is performed to be a stratification explanatory variable. The division unit divides the plurality of data sets for each layer using the stratification explanatory variable. The analysis unit performs a multiple regression analysis on each of groups of the plurality of data sets that have been divided. The regression equation acquisition unit acquires an integrated multiple regression equation in which results of the multiple regression analysis are integrated.

Abstract: A method includes displaying on a graphic user interface (GUI) of a computing device of a user, a log of computing operations performed by the user at computing terminals of entity servers respectively managed by entities. The user uses a unique authorization identifier provided by the authorizing entity to authorize the computing operations at the computing terminals of the entity servers. The user provides a fraud indication through the GUI that at least one computing operation in the log is fraudulent. Memory-jogging visual units are displayed on the GUI to the user that cause the user to recall performing the at least one computing operation identified as being fraudulent. An entry of the at least one computing operation in an operation database is marked as a valid operation authorized by the user when receiving a recognition indication and potentially fraudulent when no recognition indication by the user.

Abstract: Systems and methods for features engineering, in which internal and external signals are received and fused. The fusing is based on meta-data of each of the one or more internal signals and each of the one or more external signals. A set of features is generated based on one or more valid combinations that match a transformation input, the transformation forming part of library of transformations. Finally, a set of one or more features is selected from the plurality of features, based on a predictive strength of each feature. The set of selected features can be used to train and select a machine learning model.

Abstract: Methods and systems are described for processing data having varied temporal characteristics to generate predictions related to management arrangements using random forest classifiers. For example, the system may receive first data related to a first management arrangement of a first entity and a second management arrangement of a second entity. The system may receive an output from the random forest classifier related to a predicted second management transformation. The system may then generate for display, in a user interface, a prediction based on the predicted second management transformation.

Abstract: Predicting end-of-life support deprecation is described. A system receives an identification of a product, and then identifies support request records associated with the product. The system identifies support information associated with the support request records. A predictive model uses the support information to predict a deprecation for the product. The system outputs the prediction of the deprecation for the product.

Abstract: Disclosed is a method for estimating vulnerability and systemic importance in transaction networks. The method comprises receiving transaction data relating to plurality of nodes of transaction network. The method further comprises determining adjacency matrix and transition matrix from the received transaction data; determining centrality parameter for a node in transaction network by treating the given node as an absorbing node thereby simulating a faulty node, obtaining adjusted transition matrix by removing outgoing connections of the given node from the transition matrix, and determining fundamental matrix indicative of centrality parameter of the given node, based on the adjusted transition matrix. The method further comprises determining rank of a node based on the centrality parameter corresponding thereto, wherein the rank of a given node is indicative of vulnerability of the transaction network in an event of a failure of the given node.

Abstract: Provided are methods and apparatuses configured to programmatically generate and provide calendar digests of relevant group-based communication content to a client device associated with one or more event occurrence data structures.

Abstract: An example apparatus includes an association controller to generate a tree structure association for a total audience size that accessed a plurality of media items, the tree structure association including a first node representative of a first media item accessed by first audience members of the total audience size and a second node representative of a second media item accessed by second audience members of the total audience size, a matrix generator to generate a matrix by selecting a sum of probabilities value corresponding to the tree structure association, the sum of probabilities value representative of a probability of the first audience members accessing the first media item and storing the sum of probabilities value in an element of the matrix, and a commercial solver to estimate a deduplicated audience size of the total audience size using the matrix.

Abstract: Embodiments relate to a system, a program product, and a method to support a migration operation. Risk factors associated with a migration operation are assessed. The assessment includes assigning respective risk score values to the identified risk factors, assigning respective weight values to the identified risk factors, and calculating a composite risk score based on the assigned risk score values and the assigned weight values. At least one remediation action is recommended to reduce risk to the migration operation. The at least one recommended remediation action is implemented prior to execution of the migration operation. A migration plan incorporating the remediation action for the migration operation is generated. At least one machine learning (ML) model is employed in connection with (a) the subjecting of the identified risk factors to the assessment and/or (b) the recommending of at least one remediation action to reduce risk to the migration operation.

Abstract: Method, apparatus and computer program product for generating a channel calendar in a group-based communication system are described herein. The apparatus is configured to at least generate a channel calendar identifier associated with a group-based communication channel in the group-based communication system, receive a calendar sharing request associated with the channel calendar identifier from a client device, retrieve the calendar object and calendar object metadata set based on the channel calendar identifier, and cause rendering of the calendar object for display via a user interface of the client device.

Abstract: A system and method may be used to indicate change to a key performance indicator (KPI). The method may include receiving data regarding operation of an enterprise, generating the KPI based on the data, assessing a rate of change of the KPI, and initiating notification of a user regarding the rate of change of the KPI. The method may further include modeling the KPI to obtain an ordinary rate of change of the KPI, or a KPI element incorporated into the KPI, over time, comparing the rate of change with the ordinary rate of change, and, based on a difference between the rate of change and the ordinary rate of change, determining that the notification is to be initiated. The method may further include determining whether to notify a user of the change to the KPI based on materiality of the KPI to the user.

Abstract: A machine learning system may be used to suggest clinical questions to ask during or after a patient appointment. A first encoder may encode information and a second encoder may encode second information related to the current patient appointment. An aggregate encoding may be generated using the encoded first information and encoded second information. The current patient appointment may be clustered with similar appointments based on the aggregate encoding. Outlier analysis may be performed to determine if the appointment is an outlier, and, if so, which features contribute the most to outlier status. The system may generate one or more questions to ask about the features that contribute the most to outlier status.

Abstract: A device includes a memory configured to store prioritization thresholds. The prioritization thresholds include one or both of threshold values and threshold ranges associated with an age and an amount of exceptions. A processor of the device receives exceptions associated with operation of at least a portion of the plurality of ATMs. For each exception of the plurality of exceptions, the processor determines, based on a comparison of an age property of the exception to an age threshold of the prioritization thresholds, an age score for the exception. The processor determines, based on a comparison of an amount property of the exception to an amount threshold of the prioritization thresholds, an amount score for the exception. Based on the age and amount scores, a prioritization score is determined for the exception which corresponds to a measure of an order in which action should be taken to resolve the exception.

Abstract: The embodiments the systems and methods described herein attempt to optimally select a group or portfolio of control locations for each test location. The optimization can be generally performed in two steps. First, an objective function is defined that scores the similarity of a set of control locations averaged together. Second, given the large number of potential solutions, a computationally-feasible algorithm that identifies an optimal set of control locations and is based on the objective function is executed. In order to obtain the optimal set of control locations in an efficient manner for use in business analytics, the algorithm may use a hill-climbing algorithm. As a result, an optimization function can be incrementally improved in an efficient manner.

Abstract: A system to provide an automated data driven risk relationship review tool via a back-end application computer server of an enterprise. A resource allocation data store may contain electronic records representing requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation and retrieve, from the resource allocation data store, the electronic record associated with the selected requested resource allocation. The server may automatically calculate a first and second review date for the selected requested resource allocation and automatically establish, between at least two parties, a communication link based on the calculation of the first review date for the selected requested resource allocation.

Abstract: Some embodiments relate to generating three dimensional virtual representations of a building construction structure based on two-dimensional real-world construction plans, such as architectural plans or building plans. Some embodiments further produce autonomous, near real-time, and highly accurate and comprehensive building take-offs, complete construction detailing or estimates, detailed bill of materials, plan analysis (including detection of a number of non-standardized objects, such as doors or windows), as well as transforming 2D drawings into 3D and/or providing Building Information Modeling (BIM).

Abstract: Systems and methods are provided herein for producing and vending ice in an energy-efficient manner. A system for producing and vending ice comprises: an ice-making device configured to manufacture ice; a reservoir coupled to the ice-making device and configured to store the manufactured ice manufactured; and a control circuit communicatively coupled to the ice-making device, the control circuit configured to: determine a beginning ice inventory at a first time; determine a predicted ice demand for a first period, wherein the predicted ice demand is a function of at least a historical factor, a weather factor, a customer social event factor, and a public social event factor; determine an ice manufacturing quantity based on the beginning ice inventory, the predicted ice demand, and a manufacturing capacity of the ice-making device; and cause the ice-making device to produce an amount of ice consistent with the determined ice manufacturing quantity.

Abstract: Aspects of the technology relate to providing service area maps for an autonomous vehicle transportation service having a fleet of vehicles. For instance, each vehicle of the fleet is associated with a polygon corresponding to a service area for that vehicle. A first location may be received from a client computing device, and a set of vehicles of the fleet of vehicles that are currently available to provide transportation services may be identified based on the first location. The polygons associated with each of the set of vehicles may be used to determine a first polygon having a geographic area. A first portion of map information corresponding to the geographic area of the first polygon may be identified, and the first portion may be provided to the client computing device for display to a user such that the portion represents a currently available service area for the user.