Abstract: A system comprises a seed node, one or more compute servers and a controller server. The seed node generates initial conditions for a computational process representing an environment having one or more layers with agents. Each compute server executes tasks to generate a portion of the environment. The controller server receives initial conditions of the environment from the seed node; determines a distribution of tasks for the computational process among the compute servers; and sends instructions to each compute server for execution of tasks determined for the respective compute server. The controller server measures an execution time period for the computational process in units of discrete time frames, and sends an update or synchronization instructions, or both, to one or more compute servers in each time frame.

Abstract: A mobile computing device is adapted to transmit to a scoring server URLs of websites browsed using the device. The scoring server can compare these URLs against a merchant URL obtained within a preselected time period from transaction data resulting from a transaction involving a payment product of the device user. A score can be calculated based on the similarity between each URL obtained from the device and the URL from the transaction data. The score represents the likelihood that a website browsed using the device and, as a result, the transaction, is fraudulent. The browsed URLs can also be scored against a database of known fraudulent websites. A notification concerning the legitimacy of the transaction based on the score can be generated and sent to the mobile device in real-time. On receiving the notification, the device can be used to either accept or decline the transaction in real-time.

Abstract: Threat intelligence is collected from a variety of different sources. The threat intelligence information is aggregated, normalized, filtered and scored to identify threats to an information network. Threats are categorized by type, maliciousness and confidence level. Threats are reported to network administrators in a plurality of threat feeds, including for example malicious domains, malicious IP addresses, malicious e-mail addresses, malicious URLs and malicious software files.

Abstract: A system and method are provided for the collection of business performance data and the identification of patterns or rules from such data that are key predictors of future business performance. The performance data are preferably collected using one or several questionnaires containing a plurality of questions that probe into specific performance areas of companies. The questionnaires are used to collect responses applicable to a plurality of companies and the responses applicable to each company are stored in a database as separate company profiles to define the knowledge-base from which a rule induction engine may identify the key discriminators of business performance.

Abstract: A quantitative system and method that leverages data sources external to an insurance company to generate a statistical model that may be used to predict insurance coverage profitability. The system and method can predict profitability on a prospective basis regardless of the internal data and business practices of a particular insurance company.

Abstract: A quantitative system and method that employs data sources external to an insurance company to generate a statistical model that may be used to predict commercial insurance profitability. The system and method are able to predict individual commercial insurance policyholder profitability on a prospective basis regardless of the internal data and business practices of a particular insurance company.

Abstract: A quantitative system and method that utilizes data sources external to a company, and when available, traditional data sources, e.g., internal company information, to (i) provide for matching criteria such as, for example, demographic needs, to a database that can provide a number of potential recruits or customers and that can also be used to screen both current and prospective company employees matching the criteria, and (ii) generate a statistical model that can be used to predict future profitability and productivity of licensed professionals.

Abstract: A computer-implemented system and method for customizing a worker's career development within an organization is provided. Information concerning the worker is obtained by either or both soliciting input directly from the worker and retrieving the information from one or more databases containing such information. The information is applied to a set of stored rules for defining available options along predefined career dimensions reflective of career-life fit. Based on application of the information to the set of stored rules, a profile is automatically created. If the profile accurately reflects the career-life fit goals of the worker, it is used as the operative profile for the worker until it is appropriate or necessary to change it.

Abstract: A method and system for determining the importance of each of the variables that contribute to the overall score of a model for predicting the profitability of an insurance policy. For each variable in the model, an importance is calculated based on the calculated slope and deviance of the predictive variable. Since the score is developed using complex mathematical calculations combining large numbers of parameters with predictive variables, it is often difficult to interpret from the mathematical formula for example, why some policyholders receive low scores while other receive high scores. Such clear communication and interpretation of insurance profitability scores is critical if they are used by the various interested insurance parties including policyholders, agents, underwriters, and regulators.

Abstract: A method and system for determining the importance of each of the variables that contribute to the overall score of a model for predicting the profitability of an insurance policy. For each variable in the model, an importance is calculated based on the calculated slope and deviance of the predictive variable. Since the score is developed using complex mathematical calculations combining large numbers of parameters with predictive variables, it is often difficult to interpret from the mathematical formula for example, why some policyholders receive low scores while other receive high scores. Such clear communication and interpretation of insurance profitability scores is critical if they are used by the various interested insurance parties including policyholders, agents, underwriters, and regulators.

Abstract: A quantitative system and method that employs data sources external to an insurance company to generate a statistical model that may be used to more accurately and consistently predict commercial insurance profitability (the “predictive statistical model”). The system and method are able to predict individual commercial insurance policyholder profitability on a prospective basis regardless of the internal data and business practices of a particular insurance company.

Abstract: A system and method and a financial income protection product are provided for enabling individuals who are approaching or are in retirement to ensure future sources of income with a reduced initial monetary outlay than conventional income protection products such as, for example, annuities. Income benefits are provided to the individuals only when they need it, i.e., either when market returns have not kept pace with expectations and/or when the individuals have lived beyond the point in time at which their expected wealth expires.

Abstract: A system, software and method which enable the forensic examination of a database, particularly, a financial database such as a general ledger. The system, software and method leverage “n-” or multi-dimensional data interrogation analytics, particularly, online analytical processing (“OLAP”), to enable real-time data analysis of various dimensions of multi-dimensional data in the database and identification of records that are unusual and/or significant including from patterns or relationships among the data.

Abstract: A computer-aided method of evaluating personnel performance. The method includes the steps of making available to a user an electronic evaluation form, inputting a first set of data into the electronic form corresponding to the user, submitting the form including the first set of data for review to a second user and inputting a second set of data into the electronic form corresponding to the second user. The method is implemented with a user friendly and easily navigable computer system that includes a display device for presenting the electronic forms for personnel evaluation and includes a tool for customizing the electronic forms. In a preferred embodiment, the system presents users with electronic forms and controls access to and editing of the electronic forms based on the user's role (e.g., Feedback Receiver, Feedback Provider, Second Level Reviewer, Career Counselor). All evaluation data is stored in at least one database for future access and report generation.