Abstract: According to an example embodiment of the present invention, there is provided a method, comprising defining a task category information element, the task category information element being associated with at least one functional requirement and at least one design principle, associating the task category information element with at least one architecture definition information element, associating each of the at least one architecture definition information element with at least one system-level information element, and verifying the system described by the at least one architecture definition information element and associated system-level information elements is compliant with the at least one design principle.

Abstract: Techniques are described for iteratively adjusting data processing decision results in accordance with rules. In some implementations, the applied rules may be data ethics rules associated with particular demographic groups, such as users in a particular geographic location, users in a particular age range, and so forth. The rules may describe the manner in which data, such as data that describes or identifies individuals, is collected, stored, analyzed, applied, manipulated, and/or destroyed. The various stages of data handling may be described as a data supply chain, and a set of rules may apply to the handling of data at one or more stages of the data supply chain. The rules may enforce data privacy considerations and/or other types of constraints on data handling.

Abstract: Systems and methods for creating a collaborative object are provided. A collaborative object may be associated with a user interface that enables one or more users to interact regarding various tasks during the planning and execution of a project. In aspects, the collaborative object may include a task list, an associated document, compiled information and/or communications related to a project. In further aspects, the collaborative object, along with associated information, may be shared with other users as a resource for future projects. Permissions may be set on a collaborative object such that recipients may be allowed varying access to the task list, document, compiled materials and/or communications associated with the collaborative object.

Abstract: Computer-implemented method and apparatus for customer interaction management using interaction semantics to leverage knowledge across interaction media including web chat. An agent device displays to the agent (i) a plurality of instructions and directions about how to interact with the customer with real-time updates, (ii) a plurality of feedback to inform the agent in real-time of their current performance, and (iii) an annotation engine for providing semantic annotations of the interaction in real-time or offline so that stored interactions are annotated to better assist the development of machine learning systems that provide direction and feedback to agents. The present invention provides an interface for business users to set strategies to be used by agents during their interactions and to view the outcomes of particular strategies being implemented.

Abstract: Recommending actions to an Information Technology (IT) case can include searching an index for an IT case that matches a received IT case, identifying a plurality of actions for the received IT case based on the search, and recommending a subset of actions from the plurality of actions for the received IT case to an IT agent.

Abstract: Systems and methods for optimizing outcomes in multi-factor systems are described. Business process management, consulting intelligence, business intelligence, mobile intelligence, artificial intelligence, machine learning, and transportation management are integrated, as discussed herein, for optimizing transportation and logistics processes. Users may input legacy knowledge and data such as text, numbers, formulas, algorithms, and automated processes into a computing system for providing the system with industry insights for intelligently analyzing situation contexts, or the system may leverage third-party data. The system may suggest recommended actions based on analyzed situation contexts, and the system may furthermore execute various actions for responding to the situation contexts. The system may be configured to automatically analyze situation contexts and furthermore automatically execute various actions for responding to the situation contexts.

Abstract: A utility for determining the competitors of a subject restaurant accesses a database that contains information about other, nearby restaurants. The utility assigns a competitor score to each restaurant within the maximum radius based on the distance from the subject restaurant, as well as the cuisine types, menus, and order histories of the subject and competitor restaurants.

Abstract: Disclosed is a method and system for dynamically tracing a value realized by an Information Technology (IT) service. The method may comprise generating a correlation matrix representing relationship between a plurality of dimensions associated with an IT service, wherein the correlation matrix is generated in form of a plurality of quadrants, wherein each quadrant represent the relationship between at least two dimensions. The method may further comprise capturing a hierarchy of parameters associated with the dimensions, wherein at least one parameter, in the hierarchy, is contextually related and dependent upon at least one other parameter. Further, the method may comprise computing a relative value realization index (rVRI) using the hierarchy of parameters, wherein the relative value realization index is indicative of value realized, by the IT service, with respect to the dimensions.

Abstract: Methods and systems are disclosed for optimizing public transportation schedules. Shifts from current schedules associated with a public transportation system can be evaluated. The impact on waiting times can then be determined, based on evaluating the shifts from the current schedules. Schedules associated with the public transportation system are then optimized based on the impact on the waiting times. Public transport schedules can thus be optimized by minimizing the waiting time during, for example, transfers. Using ticket validation data to construct a realistic scenario-based model of the waiting times, a goal of this approach is to compute shifts of the current schedules that reduce the overall expected waiting time.

Abstract: An aspect of this invention is a method that includes monitoring sensors to collect information for a transportation route, and generating a graph from the collected information where the graph includes a plurality of nodes, each node representing a stop on the at least one transportation route. Each of respective nodes is associated with a corresponding transportation stop density and a corresponding passenger leaving rate. The corresponding transportation stop density is compared with at least one predetermined density threshold and the corresponding passenger leaving rate is compared with at least one predetermined leaving rate threshold to determine a level of dissatisfaction for each of the respective nodes. A tangible output is generated that identifies a level of user dissatisfaction for each of the plurality of nodes.

Abstract: A system for time deferred usage of mobile data by a plurality of user devices each coupled to a network server and running one or more applications. The system includes a network measurement module, user profiling module and a price-optimization computational module located at the network server and a user interface module located at each user device. The network measurement module collects traffic data from each of the applications to generate the historical congestion data and current congestion data. The user profiling module is configured to receive user reaction data and determine how much mobile data for each application may be deferred to a later point in time to generate the predicted user reaction data.

Abstract: A method of generating graph data components stored in a graph database is provided. The method is implemented using a graph component generator computing device in communication with a memory. The method comprises receiving transaction data from a relational database, wherein transaction data is derived from transactions, processed by a payment processor, between a first merchant of a plurality of merchants and a first cardholder of a plurality of cardholders, defining a graph including creating at least a first node representing at least the first merchant and a second node representing the first cardholder, identifying at least one relationship between at least two nodes including the first node and the second node in the graph based, at least in part, on transaction data common to the at least two nodes, and generating at least one edge between the at least two nodes, representing a new relationship between the at least two nodes.

Abstract: Embodiments of methods and systems for sales tracking using mobile devices are described. In an embodiment, a method may include an employee interface device registering a sign-in entry in an internet-based tracking database in response to an application of the employee interface device determining that a location module of the employee interface device is within a pre-defined range of one of multiple pre-defined locations of interest, and that the location module has remained within the pre-defined range of one of the multiple pre-defined locations of interest for a pre-defined time period. In an embodiment, the employee interface device may register a sign-out time of the sign-in entry in the internet-based tracking database in response to the application of the employee interface device determining that the location module has moved outside the pre-defined range, and that the location module has remained outside the pre-defined range for the pre-defined time period.

Abstract: An employee compensation modeling approach generates a model from a stored template. The model template may include fields for eligibility rules, performance ratings, guidelines, exchange rates, pay ranges, and other information. A modeling engine then populates that model with specific data from a human resources (HR) database, according to the structure of the template. Examples of HR data stored in an underlying database can include employee names, job codes, pay grades, physical job locations, base salaries, and other compensation-relevant information. The resulting compensation model includes a name, a description, target(s), and other information including allocation(s). The compensation model is displayed on an interface configured to receive further user inputs for purposes of model exploration and/or update.

Abstract: Methods and systems for analyzing usage and performance of attributes in digital design assets for asset creation. In particular, one or more embodiments maintain a digital design asset repository containing a plurality of digital design assets available for use in marketing campaigns. One or more embodiments assign attribute identifiers to attributes of the digital design assets. One or more embodiments then track usage of digital design assets in one or more marketing campaigns. Based on the tracked usage, one or more embodiments aggregate analytics data for the attributes and then determine a performance of the attributes using the aggregated analytics data. Additionally, one or more embodiments provide the aggregated analytics data for the attributes in the digital design asset repository.

Abstract: Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.

Abstract: Embodiments are directed to managing data models for managing resource allocation. A data model portion may be provided. Allocation information based on resource allocations associated with pass-through objects that may be included in the data model portion. A memory buffer may be configured to include allocation ratio information and fixed resource value information. A reciprocal model based on the memory buffer and the data model portion may be provided. Providing the reciprocal model may include providing an effective resource value engine based on solving a linear system corresponding to the allocation ratio information and the fixed resource value information. If resource information for a pass-through object associated with the reciprocal model may be requested, the reciprocal model may be employed to provide the resource information to the data model.

Abstract: Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors.

Abstract: A computer device, a method, and an apparatus for business flow scheduling. The method for business flow scheduling includes determining that a transaction savepoint is configured on a to-be-scheduled node, creating an asynchronous task according to the transaction savepoint, where the asynchronous task includes a to-be-scheduled task that is on the to-be-scheduled node and that is after the transaction savepoint, using a first thread to execute a transaction that includes a task in the flow other than the asynchronous task, and submitting the transaction executed by the first thread in order to ensure data consistency, and using a second thread to execute the asynchronous task in order to implement transaction splitting between task nodes.

Abstract: A system and method for best practice based budgeting is described. In a preferred embodiment, adaptive financial information model is created out of transaction data, best practice data, and payment history data. A combination of workflow information, client defined strategies, and client past transaction and payment history is utilized in determining the model.