Abstract: A method and apparatus for facilitating attention to a task are disclosed. The method may include: detecting, with a sensor, one or more movements, estimating the task attention state based on the one or more movements, determining the workload based on the estimated attention state, and determining based on the workload, the optimal format for the relay of operational information that best facilitates attention to the task for increased ease of task performance.

Abstract: The systems and methods of the present disclosure simulate the intuitive visualization of a host organization's experienced personnel by graphically portraying business relationships with external and internal business entities including clients, vendors, prospects, service resources, agents, and company personnel in universally recognizable caricatured scenes and images, including animations, based on transactional events that are passively accumulated from the accounting, phone, email, and management operations of a host system, delivering objectively-based graphical renditions of business relationships reflecting tenure, volume, frequency, demeanor, profitability, reliability, and many other relationship attributes thus enabling new, learning disabled, or unfamiliar personnel who possess varying degrees of first-person experience with the subject entities to respond instinctively and accurately to the current occurrence with the subject business entity while preserving invaluable relationship intuition tha

Abstract: A method and system dynamically configures faults during software testing. During runtime of a service platform, a computer system hosting the service platform receives a request from a test program to register a list of controllers. Each of the registered controllers controls the generation of a different fault. The test program triggers the execution of a service to be tested on the service platform. During execution of the service, a predefined condition is encountered. A fault is generated if one of the registered controllers controls the fault generation associated with the predefined condition. Based on the generation of the fault, the behavior of the service can be verified.

Abstract: Embodiments disclosed herein can leverage dynamic data, fields and implied information from arbitrary web sites, mobile apps and other forms of online media to create a universal variable map and automatically generate deep-linked ads utilizing the universal variable map, linking any arbitrary web site, mobile app, network, Internet TV channel, and other forms of online media to any other such arbitrary web site, mobile app, network, Internet TV channel, and other forms of online media. The automatically generated deep-linked ads can be inserted into any ad server and served out from there in real-time. A deep-linked ad thus presented to a user can take the user from a starting page on one site or application where the ad is displayed directly to a resulting page such as a checkout page on another site or mobile application, with pertinent information already pre-populated, and action already initiated for the user.

Abstract: A computer-implemented process for an endpoint for automated fulfillment, includes: in an Automatic Fulfillment (AF) server: creating an endpoint on the AF server; selecting supported commands; and for each command, defining required and optional parameters and endpoint type specific implementation details; and in a Compliance Manager (CM): running discovery to find new endpoint and create metadata for it in the CM; for each command to be automated, filling in mappings for at least all required parameters; and enabling the command; enabling the endpoint; binding the endpoint to a business source; and ensuring that the business source uses a fulfillment process that uses the AF server.

Abstract: Disclosed are methods and systems for implementing extensibility in sales prediction engines. An extensibility framework may be used to modify the metadata schema of the data used by the sales prediction engine to account for extended attributes and entities. The sales prediction engine is also modified to recognize the extended attributes and entities so that a user will be able to create new rules and train new models based on the extended attributes and entities.

Abstract: A marketing method and system. The method includes receiving by a computing system total population data. A peer group is selected from the total population data. The peer group is associated with a first marketing action. A list of attributes characterizing the peer group is generated. The attributes are associated with the marketing action, demographic data, and additional purchasing habits of the peer group. A target group of individuals of the total population data is selected. The attributes are associated with the individuals of the target group. Scores associated with the individuals of the target group are generated. The individuals of the target group are ranked based on said scores. A ranking list based is generated. The ranking list includes the individuals of the target group in a ranked order. The ranking list is stored.

Abstract: A computer-implemented engine, system and method for generating business valuations, scoring, and/or flagging over a network, responsively to information input by a user remote from the engine, system and method. The invention may include a graphical user interface capable of locally querying a user to input the company information, at least one network port capable of remotely receiving the company information from the graphical user interface, and at least one engine communicatively connected to the at least one network port, which engine preferably includes a plurality of rules to generate, responsively to the input company information, at least one of a business valuation, a business score, and/or one or more business flags to be used as indicators in a network marketplace, for the company associated with the inputted company information.

Abstract: A marketing method and system. The method includes receiving by a computing system total population data. A peer group is selected from the total population data. The peer group is associated with a first marketing action. A list of attributes characterizing the peer group is generated. The attributes are associated with the marketing action, demographic data, and additional purchasing habits of the peer group. A target group of individuals of the total population data is selected. The attributes are associated with the individuals of the target group. Scores associated with the individuals of the target group are generated. The individuals of the target group are ranked based on said scores. A ranking list based is generated. The ranking list includes the individuals of the target group in a ranked order. The ranking list is stored.