Abstract: Technologies are described for categorization of time blocks in calendars. A time block to be categorized on a user's calendar may be determined based on a direct user input or inference from user history or behavior. Next, a category to be assigned, a beginning, and an end for the time block may be determined. The time block may be the same on all work days, different on each day, etc. One or more exceptions to be processed during the categorized time block may also be determined through direct user input or inference. Then, one or more rules associated with the assigned category restricting scheduling, of events on the user's calendar during the categorized time block may be implemented subject to the one or more exceptions.

Abstract: Systems and methods for limiting autonomous vehicle requests are provided. The method includes obtaining data indicative of a request for access to a software service for facilitating one or more transportation services. The method can include granting access to the software service based on a rate limit associated with the request and a request history. The rate limit can be associated with any combination of a vehicle provider determined based on the request, the software service for which access is requested, or current data. The rate limit can define a threshold number of requests over a period of time. The method can include determining the routing action for the request based on the rate limit and a request history associated the vehicle provider, the software service, or current data. The routing action can include granting access if the request history is less than the threshold number of requests.

Abstract: An information-technology-utilization evaluation device evaluates the degree of utilization of information technology in process management targeted at a managed process that is a set of unit processes. The information-technology-utilization evaluation device includes a first determination unit to evaluate an achievement status of automation of the process management through utilization of the information technology to determine a maturity level of the automation in the managed process and a maturity level of the automation in the unit processes.

Abstract: Techniques and system configurations for use of cached data to generate and present a schedule or other availability information for delivery and service scheduling of a product are disclosed herein. In an example, electronic operations used for offering cached availability information in a user interface include: obtaining service information to identify a service for a product (such as installation or removal) that can accompany, precede, or follow, delivery of a product; obtaining customer information to identify a geographic location to perform the service for the product; retrieving, from a cached data store, availability information to perform the service for the product based on the geographic location and the service information; and presenting the availability information to perform the service in association with the delivery of the product. With this technique, a calendar or schedule can be produced from cached data, without requiring multiple requests to a scheduling system.

Abstract: Example implementations described herein are directed to managing the operation of a plurality of electric vehicles (EVs) for transportation service, power system operating reserve service and operation planning, which is utilized to determine whether to use each EV for transportation travel or power system operating reserve supply for a given time period and location. Such management allows for the increase of the total operation value by transportation travel and power system operation reserve supply.

Abstract: Techniques of configuring settings for automatic update of calendar items in an electronic calendar systems are disclosed herein. In one embodiment, a server can receive and store update configuration records indicating that a change to a start date, start time, an end date, an end time, or location of a meeting would render a meeting update actionable. Upon receiving an incoming meeting update, the server can determine whether the incoming meeting update contains a change to one of a start date, start time, an end date, an end time or location. If true, the server can automatically modify, without any input from the recipient, a scheduled meeting appointment in the calendar folder of the recipient according to the received incoming meeting update.

Abstract: Allocation of a vehicle to a passenger includes receiving a ride request for a ride from a passenger device of a passenger. A ride eligibility of the passenger is determined based on health conditions of the passenger. Further, a set of drivers available for offering the ride are identified. A subset of drivers eligible for offering the ride are selected from the set of drivers based on at least the ride request and health conditions of each driver. A first driver is selected from the subset of drivers and a route is selected from a set of routes, based on the health conditions of the passenger and each driver of the subset of drivers, route conditions of each route, and the ride request. A vehicle associated with the first driver is allocated to the passenger for the ride.

Abstract: Apparatus and associated methods relate to automatically prioritizing predicted events in a dynamic predicted queueing profile (PQP) for a service provider (SP) for a finite future time period. In an illustrative example, a central orchestration engine (COE) may generate, in response to a request for service from a service seeking entity (SSE), a dynamic queueing event profile (DQEP) associating the SSE with the PQP for the SP at the future time period. The COE may, for example, generate a confidence level of execution (CLE) for each DQEP in the PQP based on a historical behavior profile (HBP) of the SP and of each corresponding SSE. The COE may, for example, apply the confidence level of execution to each corresponding DQEP to assign a priority in the PQP. Various embodiments may, for example, advantageously dynamically prioritize a queue based on historical behavior of an SP and SSEs in the queue.

Abstract: A ticket exchange server is configured to determine a number of tickets to distribute for an event. The ticket exchange server accesses, for a stadium, training data describing attendance at historical events, historical opponents of a sports team, and a historical win/loss record of the sports team. The ticket exchange server trains a machine-learned model configured to predict an attendance for a future event at the stadium based on an opponent of the sports team at the future event and a current or predicted win/loss record of the sports team. The ticket exchange server selects an event for the sports team against an opponent and determines a predicted attendance using the machine-learned model. The ticket exchange server identifies a number of tickets greater than a capacity of the stadium to make available based on the predicted attendance and distributes the number of tickets to prospective attendees.

Abstract: According to one embodiment, an operation planning system includes a demand information database and a plurality of planning units. The demand information database stores demand data including an overall output required for a plurality of operation units for a planning period in an operation plan. The plurality of planning units adjusts output settings of the plurality of operation units. Any of the planning units selects a combination of operation units which provide the overall output required for the planning period, and based on operation costs depending on the outputs of the operation units, a process is repeated to generate the operation plan, the process including: selection of the operation unit belonging to the combination of operation units; and adjustment of the output setting for the selected operation unit by the planning unit paired with the selected operation unit.

Abstract: Predicting transportation demand in a predetermined area, based on estimating a present mobility demand and based on user group preferences. Generated transportation need requests include at least a time stamp, a pick-up coordinate, a drop-off coordinate, a user group indication, a pick-up venue category based on the pick-up coordinate, and a drop-off venue category based on the drop-off coordinate. A signal indicative of the transportation need request is provided.

Abstract: Systems and methods for common data ingestion are disclosed. In one embodiment, in an information processing apparatus including at least a memory, a communication interface, and at least one computer processor, a method for common data ingestion may include (1) receiving a project registration for a project; (2) receiving project data associated with the project; (3) building a job associated with the project; (4) executing the job associated with the project; and (5) exporting the project data to at least one target.

Abstract: Systems and methods for dynamically determining an optimal baseline algorithm for calculating lift values are disclosed. The system receives data associated with a control strategy, and then randomly selects a control location, a time period, and an item that may not be associated with the control strategy but meets the one or more criteria of the control strategy such as relevance and sales volume. Using the randomly selected inputs and a plurality of null baselines values determined by a plurality of null baseline algorithms, the system iteratively calculates a plurality of null lift values for each of the applied plurality of null baselines values to determine a likelihood for a false positive lift for each of the applied plurality of null baselines values. An optimal baseline algorithm is selected from the plurality of null baselines algorithms based on their corresponding likelihood of false positive lifts.

Abstract: The techniques described herein facilitate sharing electronic cloud-based calendars via online application and collaboration services, e.g., Microsoft Office 365®. In an implementation, a method of operating an online application and collaboration service for sharing electronic calendars between mailboxes is disclosed. The method includes receiving a request to share a master calendar owned by a first user of the online application and collaboration service with a second user. The master calendar is stored in the first user's mailbox. The method further includes communicating a response indicating acceptance of the request to share the master calendar, generating a copy of the master calendar in the second user's mailbox, and synching the copy of the master calendar with the master calendar using pre-cached data to populate an initial view.

Abstract: Systems and methods for generating aggregated merchant analytics for a sector are provided. The system includes a merchant analytics (MA) computing device in communication with a user computing device. The MA computing device defines a plurality of sectors of a geographic region and receiving transaction data including at least one online transaction associated with a merchant. The MA computing device generates a transaction location identifier for each of online transaction to indicate a location associated with a user device operated by a cardholder associated with the online transaction and links the online transaction to one sector based on the transaction location identifier. The MA computing device generates aggregated merchant analytics for each sector based on the transaction data associated with the online transactions located in the sector and displays the aggregated merchant analytics on the user computing device for analysis.

Abstract: Methods and systems for providing a crisis management platform are described. A method includes receiving a first notification of an event, such as a crisis event. A second notification of the event is transmitted to user equipment devices of a plurality of individuals. A user selection of a crisis-related option from a plurality of crisis-related options is received after transmitting the second notification is transmitted, and an action is taken in response to receiving the user selection of the crisis-related option. An electronic document is designed and distributed as a portable tool with easily accessible information for a crisis team to use as a straightforward reference to manage the decisioning and workflow coordination related to crisis management. Interactive user interfaces with hyperlinks to various electronic resources and tools may be provided to automatically and methodologically inform various users of their roles and guide them through a crisis response procedure.

Abstract: Techniques described herein are directed to intelligent virtualization of merchant services. In an example, interaction data indicative of interaction(s) between merchant(s) and a service provider can be received from merchant device(s) operable by the merchant(s). Server(s) of the service provider can access inventory data of a merchant and can determine, based at least in part on the interaction data and the inventory data, whether the merchant is a candidate for virtualization. The server(s) can send, to a merchant device operable by the merchant, a recommendation to virtualize an item based at least in part on the determining, wherein the recommendation can be presented via a merchant-facing user interface that includes a user interface element to allow the merchant to virtualize the item.

Abstract: Customizing computing resource allocation based on machine learning is provided. A plurality of current users of a service are evaluated based on attributes of each current user. A user value score is generated for each current user based on the attributes. The plurality of current users is clustered into a plurality of user groups based on the user value score. A likelihood of each prospective user becoming a paying customer is predicted based on collected behavior data corresponding to each prospective user. A likelihood of an application corresponding to the service and associated with a particular user will misbehave is predicted based on resource usage and features of the application. Resource allocation to the application corresponding to the service and associated with the particular user is customized based the likelihood that the application will misbehave and whether the particular user is a current user or a prospective user.

Abstract: In some embodiments, apparatuses and methods are provided to enable wide access to numerous different previously compiled forecast modeling. In some embodiments, a system is provided that enables wide access to forecasting, comprising: a forecast model database that maintains numerous different forecast models that when run produce resulting forecast data relevant to making business decisions; and a forecasting interface system configured to receive multiple different forecast requests for forecast request data, which comprises a forecast model index comprising identifiers of the numerous different predefined forecast models and for each of the numerous different forecast models relevance characteristics, wherein the forecasting interface system selects, for each received forecast request, a forecast model of the numerous different forecast models based on a relationship between the corresponding forecast request data and the relevance characteristics.

Abstract: Methods and systems for providing electronic scheduling assistance. One system includes an electronic computing device including an electronic processor. The electronic processor is configured to retrieve a category assigned from a plurality of categories to each of a plurality of participants associated with a calendar event and retrieve a schedule associated with each of the plurality of participants associated with the calendar event. The electronic processor is also configured to aggregate the schedules of each of the plurality of participants assigned to each of the plurality of categories to create an aggregated schedule associated with each of the plurality of categories and generate and output a user interface for display on a display device, the user interface including the aggregated schedule of each of the plurality of categories in separate regions of the user interface.