Abstract: A system may provide virtual energy audits of one or more target buildings. The system may retrieve weather data and energy usage data specific to a given target building from a weather server and a utility server, respectively. The system may store predefined building characteristics corresponding to the given target building in local memory. Based on the weather data, energy usage data, and/or predefined building characteristics, the system may generate one or more building markers that characterize the energy usage and efficiency of the given target building. Building efficiency diagnostics and energy conservation prognostics may be generated based on the building markers and may be sent by the system to be displayed via a user interface of a client device. The energy conservation prognostics may include one or more energy conservation measure recommendations and corresponding predicted cost/energy savings.

Abstract: A method and system to determine a selected service response for servicing a damaged portion of a vehicle using a vehicle technician system. The selected service response is based upon a digital media file acquired with the vehicle technician system and representative of the damaged portion of the vehicle. The digital media file is communicated from the vehicle technician system to an authority such as a vehicle owner. The communication may be indirectly through an intermediary such as a vehicle service management system. Inasmuch as the digital media file is inherently unbiased, the authority evaluates the digital media file when considering the appropriate service, such as repairing or replacing a damaged part. The authority then selects a selected service response based at least in part on the digital media file and the selected service response is thereafter applied to the vehicle.

Abstract: Embodiments of the invention provide for reduced network footprint customer behavior analytics. In an embodiment of the invention, a method for reduced network footprint customer behavior analytics includes executing an analytics server in memory of a host computing system and loading into the memory a table. The table includes a multiplicity of entries, each entry correlating a reference to a DOM with a unique identifier and a Web browser brand. Thereafter, the analytics server performs DOM capture and replay of a Web site by receiving from over a computer communications network instead of a complete DOM, a message encapsulating both a unique identifier for a Web page of the site, and a Web browser brand rendering the page, identifying using the table a particular DOM referenced in correlation to the encapsulated identifier and browser brand, retrieving the particular DOM from a data store and performing replay utilizing the retrieved DOM.

Abstract: A method includes receiving, at a service provider, each of multiple email messages from an email system of a company after the email system determines that each email message includes travel information associated with business travel of an employee of the company, wherein the company is a client or customer of the service provider. The method also includes parsing and filtering, by the service provider, each email message to obtain the travel information. The method also includes storing, by the service provider, the travel information in a data repository. The method also includes generating, by the service provider, one or more user or data interfaces associated with the travel information, wherein the one or more user or data interfaces are arranged as a travel information dashboard accessible to the company.

Abstract: A system and method for management of automobile recalls functions through a unified recall campaign user interface (UI) web-accessible to an original equipment manufacturer (OEM). The system utilizes both first-party (OEM) data and state registration data to identify vehicle owners by vehicle identification number (VIN). Enhancement data is used to provide contact information, whereby vehicle owners may be contacted concerning a recall repair through multiple channels. The system utilizes feedback during a recall and from previous recalls, as well as segmentation of vehicle owners by behavioral and attitudinal parameters, to optimize the channel(s) and message(s) used in order to maximize recall response. The system further utilizes various feeds of information concerning the recall to optimize recall repair parts distribution among dealers and dealer workforce utilization.

Abstract: A request for transport services that identifies a rider, an origin, and a destination is received from a client device. Eligibility of the request to be serviced by a vertical take-off and landing (VTOL) aircraft is determined based on the origin and the destination. The client device is sent an itinerary for servicing the transport request including a leg serviced by the VTOL aircraft. Confirmation is received that the rider has boarded the VTOL aircraft and determination made as to whether the VTOL aircraft should wait for additional riders. Instruction are sent to the VTOL aircraft to take-off if one or more conditions are met.

Abstract: In an example embodiment, cohort-based generalized linear mixed effect model (GLMIX) training is performed to identify patterns across cohorts of users, rather than slicing across all users blindly without accounting for common characteristics of users. Thus, rather than performing GLMIX training at just the finest granular level (e.g., user-level and job-level) or the highest level (global level), a “medium” level of granularity is used to train the GLMIX model at cohort-level.

Abstract: The present disclosure relates to a method and system for apportioning tasks to person in an environment. The method comprises capturing a first-value indicating a sympathetic-nerve based activity and a second-value indicating a parasympathetic-nerve based activity for at least one person operating in an environment. Thereafter, a quantitative-relation is determined between the first and second values. At-least one task is assigned for execution by said person within the environment based on such quantitative relation.

Abstract: Gaps in proficiencies may be identified within an enterprise. Understanding gaps in the existing workforce may help inform training, hiring, and firing decisions to ensure successful completion of the upcoming projects and deadlines. Using a multi-level model for each proficiency that accounts for enterprise needs as well as hiring, retraining, and the like, a relationship between proficiencies, projects, and employees over time may be generated as a multi-dimensional temporal model. The temporal model may be simulated to forecast gaps in proficiencies of the employed workforce. Recommendations regarding retraining, hiring, and termination can be made to help users remedy the deficiencies. Additionally, the proficiencies most valuable to the enterprise may be determined using a catalog of proficiencies to cluster the proficiencies into proficiency clusters for each job or job category and the proficiencies scored.

Abstract: A method includes determining, based at least in part on sensor data about a worksite, first and second conditions associated with a location at the worksite. The method also includes determining, based at least in part on the first condition and the second condition, a first risk factor associated with a first portion of the worksite, the first portion including the location and area proximate the location and determining a second risk factor associated with a second portion of the worksite adjacent the first portion. The method may also include generating a graphical user interface comprising a graphical representation of the first portion of the worksite and the second portion of the worksite and visual indications of the risk factors. Further aspects may include controlling machines and/or electronic devices at the worksite when a value associated with the risk factors is greater than a threshold value.

Abstract: Some embodiments provide a method for automatically generating an appointment for an electronic calendar. The method receives input to create a new appointment for the calendar. The method analyzes several previous appointments stored for the first calendar. Based on the analysis, the method automatically proposes a new appointment that has at least one appointment characteristic shared with at least one past appointment stored for the calendar. In some embodiments, the method receives text input describing a characteristic of the new appointment, and searches through the previous appointments using the text input.

Abstract: A method and system are provided for next location prediction. The method includes inferring, by a hardware processor, a store layout, based on user location data and user transaction data for a plurality of users. The method further includes clustering, by the hardware processor, the plurality of users based on the user transaction data to form a set of clusters. The method also includes ensembling, by the hardware processor, users within each of the clusters and building a location prediction model for each of the clusters. The method additionally includes predicting, by the hardware processor, a next location of a particular user from the plurality of users based on a weighted vote taken over the location prediction model for the cluster corresponding to the particular user. The cluster corresponding to the particular user includes at least one other user from the plurality of users in addition to the particular user.

Abstract: A system and method for determining coating requirements with one or more computer-based systems, which includes receiving image files of a structure (e.g., a building), identifying one or more surfaces of the structure to be coated based on the received image files, determining a surface area for each of one or more surfaces to be coated, receiving coating application information, calculating a coating amount for each of the one or more surfaces to be coated based on the calculated surface area and the received coating application information, and optionally, communicating the calculated coating amounts.

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: A production control platform is disclosed. The production control platform may gather information related to material produced from multiple production sources or related to a production destination that implements a production process to process the material. The production control platform may process the information to identify different possible combinations of respective outputs for the multiple production sources. The production control platform may determine a production source, of the multiple production sources, that limits input to the production process. The production control platform may determine a respective output for the multiple production sources. The production control platform may perform a set of actions related to causing the multiple production sources to produce the respective output.

Abstract: A method is disclosed, comprising: aggregating a plurality of sets of transactions, each set of transactions comprising transactions related to an account-merchant pairing; determining variables characterizing a recurrence period based on transaction dates of the transactions in the each set; predicting the recurrence period for a transaction related to the account-merchant pairing for each customer of the plurality of customers; aggregating another set of transactions between the plurality of customers and the merchant; evaluating a distribution of the recurrence period for each customer within range of a distant point; and based on the evaluation of the distribution of the recurrence period for each customer, generating a probability of the merchant having a recurrent transaction with the customer. The account-merchant pairing may comprise a customer account and a merchant of a plurality of customers and merchants.

Abstract: A system for monitoring and controlling a business process involving a plurality of workstations or/and computerized services, the system comprising apparatus for receiving messages exchanged between the plurality of workstations or computerized services and having content, and for deriving from the content of the messages, monitoring information regarding the single business process.

Abstract: Embodiments of the invention operate to determine an optimal or more optimal way in which an order for multiple items or services is fulfilled by an organization. This is performed by considering the possible combinations or permutations of order elements, costs, warehouse locations and inventory levels, delivery channels, etc. in a specified manner or order of operations. The resulting fulfillment schedule may involve a reduction or minimization in the cost, delivery time, number of shipments, distance of pick-up from customer, or another characteristic of importance to either a vendor or to a customer.

Abstract: Some embodiments of the invention provide a method that receives structured curated data regarding transit infrastructure and receives scheduled transit data regarding transit trips provided by a transit operation. The method also aligns scheduled transit data with structured curated data in order to allow the transit data to be associated with a set of attributes of the structured curated data.

Abstract: A utility application for a mobile device inspects data packets from other mobile applications running on the device to gather and record usage data about those applications. Since users of the utility application may not reflect the true population for which the usage data is desired, a system de-biases the data reported from the utility applications using a machine learning model to predict demographics of the users of the utility application. To determine a training data set for the model, the system requests a user to provide a desired user attribute by way of an in-app questionnaire. This enables labeling utility usage data with the demographics, which can be weighted and extrapolated to determine usage across the population as a whole.