Abstract: Systems and methods for automatic detection of variances in digital assets such as web pages are provided. User interface screens are generated by the system for allowing a user to review a target digital asset and to select portions of the digital asset for automatic variance detection by the system. The system then monitors the selected portions of the digital asset (or, the entire digital asset) for variances, and automatically generates reports indicating detected variances.

Abstract: Disclosed embodiments include a method for combining a BATCH application programming interface (API) and a QUEUEABLE API on a SALESFORCE platform to process records. The method can include accessing a programming environment associated with an add-on application for a SALESFORCE platform, obtaining records via the add-on application to be processed on the SALESFORCE platform in accordance with a job type, calling a BATCH API to process the records by batching the records to create job records, and calling a QUEUEABLE API to process the job records in QUEUEABLES including parallel QUEUEABLES such that at least some job records included in the parallel QUEUEABLES are processed in parallel in accordance with the job type.

Abstract: Embodiments are directed towards for models for visualizing resource allocation. A plurality of data models may be provided to a benchmarking engine. The benchmarking engine may be employed to provide a plurality of benchmark models based on the plurality of data models. If an organization is selected, additional actions may be performed including: providing one or more of the plurality of benchmark models based on a data model that corresponds to the organization and one or more model objects of the data model; and, employing a visualization engine to provide a visualization that compares one or more resource allocations associated with the one or more model objects with the one or more benchmark models, such that the visualization is displayed on a hardware display for viewing by a user.

Abstract: Embodiments are directed towards providing dynamic recommendations of reserving information technology resources over time that may be visually displayed over that time. In one embodiment, the recommendations may be determined based on an analysis of actual usage data obtained over a prior time period and used to predict future resource demands. The subject innovations enable a user to dynamically perform various ‘what-if’ analysis to determine optimum purchase times, and configurations. In some embodiments, the user is further provided information about currently purchased resource under-utilizations to enable the user to redistribute work, release resources, or take other actions directed towards improving management of their IT budget.

Abstract: Provided is a method and an arrangement for enabling a processing step for an object that is to be processed, wherein an availability result, which indicates an availability of the processing step, is determined for the processing step on the basis of rules.

Abstract: Example systems and methods for integration for managing customer data are described. In one implementation, a method receives a request for information about a specific customer and identifies multiple customer profiles associated with the specific customer. The method identifies the requested information within each of the customer profiles and determines whether any conflicting data values exist between the information within each of the customer profiles. If a conflict exists, the method determines an intended use of the requested information and resolves the conflict based on that intended use. A response is generated that includes the requested information about the specific customer.

Abstract: A service design assistance apparatus includes an input apparatus, a storage, a display, and an arithmetic apparatus. The arithmetic apparatus, in response to a specific request received via an input apparatus, placing objects for a service of a new design target in corresponding areas on the design screen, the objects representing a relevant business, a problem with the business, a value to be obtained by solving the problem, a service to provide the value, and an apparatus or technology needed for the service.

Abstract: Systems and methods for managing inventories of blood components are disclosed. Such systems and methods are configured to improve the predictability, efficiency, and/or automation of blood component supply chains. Tools are provided for tracking blood component inventories, forecasting blood component demand, and coordinating donations to meet current and anticipated demand. Some embodiments of the systems and methods identify when blood component units at a health care facility are beginning to run low or are approaching expiration, before the need for additional units becomes critical. Some embodiments of the systems and methods coordinate new donations and modify existing scheduled donations to meet real-time and forecasted demand for blood components.

Abstract: A provider network is configured to provide continuous workflow service for an open-ended number of workflows using non-persistent threads. The provider network includes a workflow translator service configured to receive workflows defined according to multiple workflow domain specific languages and translate the received workflows into a particular domain specific language used by the workflow service to execute workflows. In some cases, the provider network includes a workflow handling service and a workflow evaluation service. The workflow handling service may receive indications of task completion events related to respective workflows, and in turn may send non-blocking requests for workflow decisions from the workflow evaluation service. In generating a workflow decision, the workflow evaluation service may determine resources for executing a workflow.

Abstract: A method and system for automatically generating a virtual assisted task is provided. The method includes establishing secure connections between a hardware device and databases external to the hardware device. A group of tasks associated with an individual are identified and available timeframes associated with an availability of the individual are determined. A first potential score and maximum score for each task are computed. The first potential score is compared to each maximum potential score and in response, a subset of tasks are automatically selected. The subset of tasks are mapped to the available timeframes and results of the mapping a cached within a caching circuit of the hardware device. Results of the caching are presented via the hardware device.

Abstract: Methods, systems, and computer readable media for scheduling jobs by using a one-to-many shortest path search based on travel costs between job locations. In some examples, a system includes one or more computers configured to schedule jobs based on travel from a geographic origin to a respective geographic job location for each job. The system also includes a one-to-many path searcher implemented on the one or more computers. The one-to-many path searcher searches for paths along edges of a graph from an origin node to destination nodes by traversing intermediate nodes between the origin node and the destination nodes using travel costs, including determining heuristic travel costs based on a geographic distance between an intermediate geographic location corresponding to the intermediate node and a boundary that initially surrounds the geographic job locations.

Abstract: A computer-implemented method and apparatus for predicting customer intentions defines a plurality of categories for classifying customer interaction data. The plurality of categories includes at least one action category for classifying information related to customer actions on interaction channels. Data signals corresponding to a customer interaction on one or more interaction channels is received. The data signals include information related to at least one customer action. A sequence of values is generated for each customer action for classifying information related to the each customer action. A value is generated corresponding to each action category to configure the sequence of values. The sequence of values is associated with a fixed length equal to a number of action categories in the at least one action category. The fixed length of the sequence of values facilitates use of one or more intention classifiers to predict an intention of the customer.

Abstract: Provided is a computer-implemented method that includes obtaining a user location dataset indicative of a location visited by a user, the user location dataset being based at least in part on a location signal received from a mobile computing device associated with the user, determining that the location visited corresponds to a geographic location of a place of interest, determining, using a computer, a visit count corresponding to the location dataset, adjusting a visit count for the place of interest to include the visit count corresponding to the location dataset, and storing the adjusted visit count for the place of interest in a visitation rate datastore.

Abstract: A manufacturing process management (MPM) computer device is provided. The MPM computer device is configured to store an engineering bill of materials for a product to be assembled including a first plurality of parts, store a manufacturing bill of materials for the product to be assembled including a second plurality of parts and a status, receive a request from a user to change the status of the manufacturing bill of materials, compare the first plurality of parts with the second plurality of parts, determine whether the first plurality of parts matches the second plurality of parts based on the comparison, if the comparison matches, change the status of the manufacturing bill of materials, and if the comparison does not match, prevent the status of the manufacturing bill of materials from changing.

Abstract: A method includes: first creating determination information on whether or not the second file is derived from the first file based on a file name or file content of a first file to which writing is performed by a first job and a file name or file content of a second file from which reading is performed by a second job; second creating predecessor-successor information indicating a predecessor-successor relationship between the first job and the second job based on the determination information; and outputting the predecessor-successor information in a manner that allows an administrator to keep track of the predecessor-successor relationship between the first job and the second job.

Abstract: Embodiments of the present invention relate to providing intelligent alerting and automation for marketing analytics software. In implementation, intelligent alerting is initiated by a user, which enables deep learning models to analyze various data patterns. Intelligent alerting learns about preferences and data consumption patterns of the user with marketing analytics software. Intelligent alerting also accounts for and learns from any manually created alerts set up by the user and/or alerts created automatically by anomaly detection. Intelligent alerting analyzes all other users within the organization of the user to find similar users based on their consumption patterns. An on-demand game may be provided to the user to determine the criticality of one metric change over another. This enables intelligent alerting to automatically provide alerts which pass a critical threshold of importance to the user and context to help the user understand why a metric changes in a significant way.

Abstract: A computer system and computer-implemented method for autonomous enterprise planning for instance in a retail enterprise comprising retail planning processes such as assortment planning, regular price planning, promotional product planning, promotional pricing, inventory allocation, size/pack optimization, markdown pricing, or in an insurance enterprise comprising insurance underwriting, adjudication, fraud detection and subrogation.

Abstract: Techniques and system configurations for tracking customers and employees in a commercial environment such as a retail store are described herein. Customer devices that are operated by an associated customer may be tracked to determine customer shopping activities in a retail store, and to obtain promotions or affect targeted results based on the customer's activity and a profile associated with the customer. Employee devices that are operated by an associated employee also may be tracked to identify employee activities and manage the interactions that occur with customers in the retail environment. In-store activities and interactions accordingly may be enhanced as a result of advertising, marketing, and analytics derived from the tracked activities.

Abstract: Optimizing customer lifetime value (LTV) techniques are described. In one or more implementations, a simulator is configured to derive a prediction model based on data indicative of user interaction online with marketing offers. The prediction model may be produced by automatically classifying variables according to feature types and matching each feature type to a response function that defines how the variable responds to input actions. The classification of variables and/or corresponding response functions per the prediction model may consider dependencies between variables and dependencies between successive states. An evaluator may then be invoked to apply the prediction model to test a proposed marketing strategy offline. Application of the prediction model is designed to predict user response to simulated offers/actions and enable evaluation of marketing strategies with respect to one or more long-term objectives.

Abstract: The present invention relates to business-to-business marketing organizations who participate in lead-generation activities via their company website. More particularly, the invention provides a target lead-generation system and method that targets the right businesses using real-time predictive and behavioral analytics and website traffic data and connects businesses to potential customers and suppliers to drive business revenue. Even more particularly, the invention provides a system and method for real-time cleansing, enriching, and appending of business card data elements such as title, email, and attribute rich company demographic and firmographic data. Additionally, the system appends company-level technology install base data and contact-level data points such as job role, job function, physical location, education, expertise, and social network handles. This contact and company data is appended to the website form and marketing database.