Abstract: A computing system can receive a pick-up request for a transport service from a requesting user within a given region. Based at least in part on the requesting user being within the given region, the computing system can transmit match code data corresponding to a match code to the computing device of the requesting user. The computing system may then receive input data indicating the match code from a computing device of an available driver, signifying that the available driver is to provide the transport service for the requesting user, and update a status for the requesting user to indicate that the transport service is being provided by the available driver for the requesting user.

Abstract: Described herein, is a method for user segmentation for cost-based deployment of enterprise infrastructure. According to an implementation, for each of the users, a user fingerprint (UFP) score set comprising rating scores that quantify levels of enterprise-level needs of the each user is determined. For each of deployment solutions of the enterprise, a deployment fingerprint (DFP) score set comprising rating scores that quantify levels of capabilities of the each deployment solution enabled to meet enterprise-level needs of the users is determined. The users are grouped into user segments based on the UFP score sets of the users. A definition of each of the user segments is determined. The definition is indicative of a user whose enterprise-level needs define characteristics of the corresponding user segment. A number of user segments is found based on a cost associated with the deployment solutions for the user segments.

Abstract: Systems and methods of monitoring actions performed by one or more workers on a jobsite are provided herein. The actions can be monitored over time and tagged as worked and unworked time intervals. Interactions between individuals and teams of individuals can be monitored. Efficient processes can be determined for use in current and future projects to maximize efficiency and reduce costs associated with the current and future projects.

Abstract: A system is provided that visualizes task progress update history. The system displays a project plan timeline within a user interface, where the project plan timeline includes tasks indicators that visually represent tasks and a timeline including time unit indicators that visually represent time units. The system further displaying task progress update history within the project plan timeline, where the task progress update history includes task progress update indicators that visually represent task progress updates, and where a task progress update indicator visually indicates a date-time of a task progress update and a task progress reported by the task progress update.

Abstract: Computer-implemented systems and methods to quantify risk associated with suppliers or geographic locations at which suppliers or global internal delivery centers are located. The systems and methods transform risk parameter data into risk metrics that allow comparison of relative risk between suppliers, supplier sites, or geographic locations, and allow comparison of risk metrics to minimum risk scores calculated for a given metric. The systems and methods further provide guidance/proposed action to take based on the generated risk metrics.

Abstract: A database access computing device for utilizing a three dimensional model to access databases for information regarding one or more parts in a vehicle is provided. The database access computing device includes at least one processor. The database access computing device is configured to display a three dimensional model representing at least one version of a vehicle, receive a selection of a location within the three dimensional model, identify at least one part number associated with the location in a first database, retrieve part information from at least a second database using the part number, and display the part information retrieved from at least the second database on the three dimensional model.

Abstract: Systems and methods are provided for generating engagement recommendations suggesting ways that one or more creators of content may maximize subscribership and/or subscription-based revenue, as well as support recommendations suggesting ways that the one or more creators of content may realize successful support of their content creation. Engagement recommendations can involve suggestions regarding when and/or how to engage one or more subscribers that results in a positive impact to subscribership and/or subscription-based revenue. Support recommendations can involve suggestions regarding when and/or how to elicit support in line with preferred indicia of success set forth by the one or more creators.

Abstract: Technical solutions are described for verifying attendance at an alarm event. An example method includes receiving a registration of the alarm event, where the registration identifies an alarm device associated with the alarm event, and a location of the alarm event. The method also includes in response to the occurrence of the alarm, sending an alarm message to a user apparatus, where the user apparatus is within a predetermined vicinity of the location. The method also includes, in response to receiving an attendance message from the user apparatus, validating the attendance message based on predetermined conditions, where the predetermined conditions verify that the attendance message was transmitted within a predetermined expiration time and sending a reward message in response to the attendance message being valid.

Abstract: A system and method is provided for generating subscription recommendations suggesting ways that one or more creators of content may increase subscribership and/or prominence of the one or more creators. Subscription recommendations can involve changing and/or updating subscription levels offered by a content creator to potential, existing, or previous subscribers of the content creator. Current and/or historical performance data associated with the content creator, other content creators, and/or the consumers making up a community of subscribers may be analyzed in order to generate subscription recommendations.

Abstract: One or more techniques and/or systems are provided for determining a user work schedule. A user may seldom update actual work hours, such as within a calendar, to reflect an actual schedule of the user, which may result in erroneous information being exposed to services that may notify other users as to when the user is inside or outside work hours. Accordingly, user signals (e.g., a current device location, execution of a work-related app, access to a work VPN, participation in a conference call from home, etc.) may be evaluated to generate a set of user activity patterns that may be indicative of recurring work patterns of the user. A user work schedule for the user may be determined based upon the set of user activity patterns. The user work schedule may be used to modify user interfaces (e.g., a conferencing website, a phone app, etc.) exposed to other users.

Abstract: A service provider system may implement a notification service that manages actionable notification messages received from other services on behalf of a customer organization and its end users. An IT administrator of the customer organization may create and configure message inboxes to be maintained by the notification service. The messages stored in each inbox may be partitioned by source, type, targeted (authorized) recipients, or an associated message topic. Each message may include an identifier of the inbox to which it is directed, and active elements that, when selected by a recipient, cause a corresponding action to be performed. The service from which a message is received may, in response to a message recipient taking one of the available actions, submit a request to the notification service to update the message state. The notification service may provide APIs through which the other services and message recipients interact with the notification service.

Abstract: A service provider system may implement an enterprise catalog service that manages software products and portfolios of software products on behalf of service provider customer organizations. Through an administrator interface of the service, a customer organization administrator may create constraints on the use of the software products, and each constraint may include one or more rules about how the products can be launched. These may include environmental constraints (specifying a region in which a product launches), restrictions on input parameter values (including the types of resource instances on which a product can be launched), quotas (controlling the number of product installations), or billing constraints. Constraints may be applied on a user-to-product arc or on a portfolio-to-product arc. Constraints may be stored as objects, and reference to those objects may be added to product or portfolio objects.

Abstract: A status management framework is provided that manages status information of a system. The status management framework receives messages from fulfillment systems, where the messages include status values. The status management framework propagates the received status values within the system. The status management framework includes a status service that receives status values from task layer services, and propagates the status values throughout objects of the system.

Abstract: A connectivity coordinator may receive a request for a dedicated physical connection between a provider network and a client network. In response, the connectivity coordinator may determine a capacity for each connection capacity group available to accept the dedicated physical connection. The connectivity coordinator may use the determined capacities for each available connection capacity group to determine bias response information for each connection capacity group based on the determined capacities and a capacity bias model. The connectivity coordinator may provide the determined bias response information to the client as part of a response to the connectivity request to influence the client to select to connect to a connection capacity group that has more physical ports available to accept the dedicated physical connection than other connection capacity groups that have less ports available to accept the dedicated physical connection.

Abstract: A training system is described herein for generating a prediction model that relies on a feature space with reduced dimensionality. The training system performs this task by producing partitions, each of which corresponds to a subset of aspect values (where each aspect value, in turn, may correspond to one or more attribute values). The training system then produces instances of statistical information associated with the partitions. Each instance of statistical information therefore corresponds to feature information that applies to a plurality of aspect values, rather than a single aspect value. The training system then trains the prediction model based on the feature information. Also described herein is a prediction module that uses the prediction model to make predictions in various online contexts.

Abstract: Embodiments are directed to identifying allocation discrepancies. Data models and Benchmark models may be provided to an analysis engine. Discrepancy models may be provided to the analysis engine, such that each discrepancy model may be arranged to include one or more rules. The analysis engine may be employed to search for discrepancies in the data models based on the discrepancy models and the benchmark models. If discrepancies may be identified by the analysis engine, one or more notifications may be provided to one or more users. Also, the discrepancy models may be modified based on subsequent feedback provided by the one or more users. Correlations in the resource allocation values may be identified based on machine learning that includes one or more of linear regression, deep learning neural networks, or the like. And, additional discrepancy models may be provided based on the identified correlations.

Abstract: A system and a method for managing one or more clinical protocols across multiple locations, including identify a clinical research location; capture a plurality of types of content from the administrator mobile device; analyze the captured content to determine one or more associated clinical protocols for the clinical research location; automatically select a workflow algorithm for each determined clinical protocol, the workflow algorithm configured to obtain stage based information and workflow items from the data store; and enable a mobile control interface for each determined clinical protocol, wherein the mobile control interface comprises monitoring of the stage based information and management of the workflow items associated with the clinical research location.

Abstract: Exemplary methods, apparatuses, and systems for event planning and management are detailed. In some embodiments, a method includes receiving a plurality of selectable actions and associated media element content for an event, generating a media event comprising one or more of the received media elements, and transmitting the media event to an event recipient on a date of the event.

Abstract: Embodiments related to a self-administered, behavior modification program facilitated through a structured tailoring method and system thereof which accelerates and enhances the internalization process of the individual, and which provides help when the individual begins to fail in adhering or continuing with the behavior modification are disclosed. Program instructions that when executed by a processor causes a processor to initiate automatically a schedule of events of a structured tailoring procedure upon entry criteria being met at some unknown time, provide intervention according to the intervention preferences when the adherence criteria for one of the events has not been met, and end automatically the structured collection procedure upon exit criteria being met at some unknown time.

Abstract: A method, computer program product, and system for human resource analytics using profile data is described. The method includes receiving historical project data, wherein the historical project data includes at least one profile of at least one historical project team member. Psychometric data associated with the at least one historical project team member is received. Updated historical project data is generated, in which, at least in part, psychometric data associated with the at least one historical project team member is added to the at least one profile included in the historical project data.