Abstract: The disclosure relates to a technology that provides a user customizable interface to select data from different channels and create rules to apply to the data and an analysis engine to automatically obtain and process data from the selected channels, apply the rules, determine a effectiveness score for each data set and the overall data set and generate and present marketing strategy suggestions based on the determined effectiveness. An artificial intelligence system may analyze and increase effectiveness of multi-channel data marketing strategies including computer-implemented program instructions for multi-channel data aggregation from predetermined sources, analysis of the data, reporting functionality and computer-generated user interface the presents results to users, including recommended multi-channel marketing strategy suggestions.

Abstract: Embodiments for using a mixed internet of things (IoT) device network to improve user satisfaction by a processor. A collaboration of data associated with a user captured from a plurality of types of IoT devices in the IoT network may be gathered. The collaboration of data may be used to determine a level of satisfaction of the user according to a knowledge domain describing a plurality of satisfaction factors and levels in the service based industry such that the collaboration of data is associated with one or more of the plurality of satisfaction factors and levels.

Abstract: A solution for capacity planning includes: for each of a plurality of fulfillment centers (FCs), receiving an inventory allocation; receiving a demand forecast and delivery time information for customer orders; performing a simulation comprising: partitioning a simulation period into multiple simulation stages; for each simulation stage: assigning portions of the demand forecast to a demand pool for one of the FCs; for each FC, determining a backlog, based at least on the demand pool for the FC and a simulation stage fulfillment capacity for the FC; and transferring each existing backlog to a subsequent simulation stage or an alternate FC; and based at least on the simulation, generating at least one planning control logic action, for example, adjusting delivery time options available on an e-commerce node, identifying a change in staffing levels at one or more FCs, adjusting inventory allocation for at least one FC, or another action.

Abstract: An event may be scheduled by establishing a connection between an event initiator and an automated scheduling agent, receiving an instruction from the event initiator to generate an event, interrogating the event initiator to identify one or more invitees for an event, referencing contact information for each of the invitees, using the automated scheduling agent to contact the invitee with a message that elicits invitee availability, using the automated scheduling agent to receive a response to the message that includes a set of two or more potential times for the event, relating the response of at least some members of the group that includes the invitee and the event initiator, and in response to relating the response from the more than two of the group, scheduling a event.

Abstract: The present disclosure provides techniques for calculating an entity's cybersecurity risk based on identified relationships between the entity and one or more vendors. Customer/vendor relationships may impact the cybersecurity risk for each of the parties involved because a security compromise of a downstream or upstream provider can lead to a compromise of multiple other companies. For example, if organization A uses B (e.g., a cloud service provider) to store files, and B is compromised, this may lead to organization A being compromised (e.g., the files organization A stored using B may have been compromised by the breach of B's cybersecurity). Embodiments of the present disclosure further provide a technique for calculating a cybersecurity risk score for an organization based on identified customer/vendor relationships.

Abstract: A method may include receiving a search query from a computing device, the search query identifying an examiner in a patent office; in response to the receiving, gathering information associated with the examiner from at least one database, the information including experience metrics for the examiner and allowance metrics for the examiner; generating a user interface for display on the computing device; the user interface including: an experience section including a technology experience score for the examiner based on the experience metrics; and an allowance rate section that includes: allowance visualization options; and an allowance visualization based on the allowance metrics and a selected visualization option of the allowance visualization options.

Abstract: A method of enabling expedited manufacture of one or more instantiations of a structure modeled as a 3D computer model, the method implemented on one or more computer devices including displaying one or more user selectable expedited manufacturing reservation options for a plurality of requests for manufacture, generating a prompt to select a user selectable expedited manufacturing reservation option, receiving an expedited manufacturing, storing the expedited manufacturing reservation, receiving a request for manufacture of one or more instantiations of a structure modeled in an associated 3D computer model from a user, compare one or more of the requests for manufacture and one or more aspects of the associated 3D computer model with the expedited manufacturing reservation, determining an applicability of the expedited manufacturing reservation to the request for manufacture, calculating a total time to complete the request for manufacture, and presenting the total time to complete the request for manufactu

Abstract: Homelessness and the burden that homelessness places on public health infrastructure can be reduced via a virtual cloud-based system and method that maintain an up-to-date availability of available resources, provide a way for a person-at-need, such as a homeless or a person at risk of homelessness, to gain access to those resources online or through dial-in, and provide advice to the person if the advice is necessary for connecting to the necessary resources. A virtual cloud-computing environment provides a scalable and secure environment where providers of resources can submit information about resources they are willing to contribute. An individual-at-need can access the system online and resources appropriate for that person are determined. Resource officers can access the system from any place that has Internet access and use the system as a tool to allocate resources to an individual in a social crisis that can lead or perpetuate homelessness.

Abstract: A device, system, and method determines a prioritized location for an automated vehicle to move. The method performed at a contact center includes performing a transaction between an electronic device and the contact center, the transaction including at least one correspondence. The method includes determining location data corresponding to the electronic device, the location data being a location of the electronic device. The method includes determining prioritized location data based upon the location data and further related data, the further related data being at least one of an analysis of the at least one correspondence, internal information of the contact center, and external information available to the contact center. The method includes transmitting the prioritized location data to an unmanned, automated vehicle (UAV), the UAV configured to automatically move to a predetermined location based upon the prioritized location data.

Abstract: A method and system for managing a technical installation are disclosed. An event associated with at least a portion of the technical installation is detected based on sensor data associated with the portion of the technical installation. A representative view of the portion of the technical installation is rendered on at least one wearable device. The representative view displays information associated with the detected event in conjunction with the multi-dimensional view of the portion of the technical installation. A predictive time series analysis of the sensor data associated with the detected event is generated. The predictive time series analysis in conjunction with the representative view of the at least one portion of the technical installation is displayed.

Abstract: A method for identifying prospective purchasers of battery electric vehicles (BEVs) may include defining a predetermined time frame associated with vehicle ownership, receiving a first dataset including a first subset of drivers are drivers who have owned or leased any first internal combustion engine (ICE) vehicle followed by any second ICE vehicle within the predetermined time frame, a second subset of drivers are drivers who have owned or leased any first ICE vehicle followed by any second BEV within the predetermined time frame, and a third subset of drivers are drivers who have not changed vehicles within the predetermined time frame, receiving a second dataset including a set of drivers who own or lease any first ICE vehicle which is in a same vehicle class as a target BEV, and identifying a target set of prospective purchasers of BEVs.

Abstract: A method includes obtaining information identifying transactions from multiple sources. The transactions relate to multiple functional domains of a supply chain associated with an industrial process. The method also includes storing the information in a data store according to a unified model. The method further includes providing a common user interface for different functional users. The common user interface is configured to display multiple visualizations and reports associated with the transactions. The method also includes obtaining, according to a user input at the common user interface, one or more metrics and one or more analytics from the data store. The one or more metrics and the one or more analytics are associated with the obtained information. The method also includes configuring the common user interface to display, according to the user input, at least one visualization or report involving the one or more metrics and the one or more analytics.

Abstract: Computer-implemented methods for providing real-time customer, patient or accountability, security, consumer and employee metrics include: providing at least one strategic goal; providing at least one metric associated with the at least one strategic goal; providing at least one communication channel between a customer and a company; providing at least one communication code; utilizing the at least one communication code to access the at least one communication channel; providing a survey tool to the customer using the at least one communication channel; capturing data from the survey tool in a database; converting the captured data to the at least one metric; and providing the at least one metric on a dashboard application. An executable software application that implements the computer-implemented method disclosed is also contemplated.

Abstract: A marketing support system includes an acquisition unit acquiring questionnaire information including a response result of a questionnaire and an attribute of a respondent of the questionnaire, the questionnaire conducted to consumers in a product and service field to which a marketing target belongs, regarding recognition, usage experience and frequency of use of a brand belonging to the field, an assignment unit for assigning the respondent to any one of a plurality of segments set in advance based on the response result, an aggregation unit configured to estimate the number of consumers and the ratio of the number of consumers with respect to all the segments based on the number of respondents assigned to each of the plurality of segments, and an output unit configured to display a policy for respective consumers of the plurality of segments and information on costs for the policy for comparison among different segments.

Abstract: A system collects information associated with the work performance and work satisfaction of caregiver's who provide in-home care services to seniors. A machine learning system is trained to predict caregiver attrition and generate a user interface display indicative of a risk an individual caregiver will attrit. The system may also be used to determine action steps to reduce the risk of attrition of a caregiver.

Abstract: A method, system and product for using multiple packing stations in delivery of goods. A packing scheme is determined for an order based on an optimality criteria, the scheme comprising a division of a set of items between packing stations, whereby defining one or more subsets of the set of items. The packing scheme further comprising an ordering of the one or more subsets and packing stations paired therewith, by which ordering the paired packing stations are to be utilized for packing the set of items and transporting thereof to the destination, wherein in each packing station, a respective portion of the set of items is to be packed and transported therefrom. Responsive to the optimality criteria being met, instructions for executing the order are issued, whereby the set of items are packed and transported according to the packing scheme.

Abstract: An autonomous enterprise bot observes video, audio, and operational real-time data for an enterprise. The real-time data is processed and a predicted activity needed for the enterprise is determined. The bot proactively communicates the predicted activity to a staff member of the enterprise for performing actions associated with the predicted activity.

Abstract: In one embodiment, a method carried out on a computer system for parsing a software model to identify manufacturing requirements for a designed product and comparing those requirements, along with received user preferences. to corresponding attribute information from potential suppliers that is stored on a database, so as to automatically select a preferred supplier.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system determines features related to an application for an opportunity by a member of an online network, wherein the features include a historical response rate for a poster of the opportunity and a submission number of the application for the opportunity. Next, the system applies a machine learning model to the features to produce a score representing a likelihood of the member receiving a response to the application from the poster. The system then compares the score to a threshold to determine a recommendation related to applying to the opportunity by the member. Finally, the system outputs the recommendation to improve an experience of applying to the opportunity.

Abstract: According to one embodiment, an operation estimating method comprises presetting a plurality of operation candidates to be estimated, acquiring acceleration data from an activity meter worn by a person being measured, calculating estimated probabilities of the operation candidates from the acquired acceleration data, selecting an operation candidate corresponding to a maximum probability from the calculated estimated probabilities, as an estimated operation, and correcting the estimated operation in consideration of a past operation performance when the maximum probability of the estimated probabilities is lower than a predetermined value.