Abstract: Task/resources are randomly assigned a number of times and a score for each solution of the random assignment is calculated. Using machine learning and artificial intelligence, a subset of the solutions is selected. Assignment of task/resource within the subset may be randomly changed, e.g., a task/resource assignment between two entities, a task/resource within the selected subset may be replaced with another task/resource (without swapping), etc. The additional solutions form a super solution with the selected subset and the score associated with the additional solutions are calculated. The process of selection of assignments, random changes to the assignment and calculating the scores associated with the new solutions is repeated a number of times until a certain condition is met, e.g., a number of iterations, time out, improvement between two iterations is less than a certain threshold, etc. Once the certain condition is satisfied, a solution is selected.

Abstract: The present application describes methods and systems for administration of a gamification system. Administrators can be separated into tiers, each with differing levels of control. Embodiments of the present disclosure include a system that receives, from an administrator, a request to generate a second gamification site and to copy content from a first gamification site to a second gamification site. The system then determines if the administrator is enabled to do so. If the administrator has the appropriate permission, the second gamification site may be generated, and the content from the first gamification site may be copied to the second gamification site.

Abstract: In some embodiments, a method includes determining a content type in response to a user accessing a webpage and further based on a user attribute. In some embodiments, the user attribute may be related to a business organization that the user belongs to. In some embodiments, the method may further include determining relevant content to be displayed based on the determined content type, and transmitting webpage data including the relevant content for rendering on a device as a graphical user interface (GUI). In some embodiments, a method comprises of receiving a request to create a dynamic content component and identifying content to be displayed therein. In some embodiments, the method may further comprises customizing a look and feel of the dynamic content component based on the user attributes, and generating a code to display the dynamic content component in response to the user accessing a webpage.

Abstract: The invention provides a system and method for managing clusters of parallel processors for use by groups and individuals requiring supercomputer level computational power. A Beowulf cluster provides supercomputer level processing power. Unlike a traditional Beowulf cluster; however, cluster size in not singular or static. As jobs are received from users/customers, a Resource Management System (RMS) dynamically configures and reconfigures the available nodes in the system into clusters of the appropriate sizes to process the jobs. Depending on the overall size of the system, many users may have simultaneous access to supercomputer level computational processing. Users are preferably billed based on the time for completion with faster times demanding higher fees.

Abstract: Disclosed herein, among other things, is a system comprising a content repository, a communication portal developer, a content manager, and an analytic engine. The content repository is adapted to store electronic content in a computer-readable storage medium. The communication portal developer includes at least one wizard to create a plurality of customizable portals without coding software. Each customizable portal is accessible to one or more selected visitors through a web browser. The content manager is adapted to publish selectable electronic content to selectable portals. The content manager includes at least one wizard to populate and manage the electronic content within the content repository. The analytic engine analyzes electronic content use and visitor behavior while logged into their customizable portal. In various embodiments, the analytics are provided in real time or near real time. Other embodiments are disclosed herein.

Abstract: Exemplary embodiments are disclosed for a method and system of parameterizing data aggregation performed by a data integrator executing on a computer. Aspects of the exemplary embodiment include in response to receiving business rules input from an end-user through a graphical user interface, storing the business rules as aggregation parameters in a repository external to the data integrator; reading the aggregation parameters, the aggregation parameters specifying the source table of transaction data, a target table for storing aggregation results, and summarization requirements specifying aggregation actions to be performed on fields of at least one of the source table in the target table; and aggregating the transaction data based on the summarization requirements, including grouping and summing transaction values, whereby the aggregation parameters enable aggregation of the transaction data from the source table to the target table without modifying code comprising the data integrator.