Abstract: An automated method, computer program product and system for using artificial intelligence based cognitive learning methods to identify, measure and manage risks for a commercial enterprise on a continual basis. The elements of value, external factors, components of value and categories of value of the enterprise are analyzed and modeled using predictive models that are developed by learning from the data associated with said enterprise. Scenarios of both normal and extreme situations are also developed by learning from the data. The scenarios are then used to drive simulations of the predictive models. The output from these simulations are then used to measure a plurality of risks and complete optimization analyses that identify the optimal mix of risk reduction activities for the enterprise. The optimal mix of risk reduction activities is then presented to the user for optional editing, rejection or acceptance.

Abstract: Risk information portal systems and methods are provided. The portal allows business managers and others to track, organize and review risks. One or more social media news feeds may provide risk information that is found from social media sources. The portal may also provide research tools and interactive tools to locate industry pricing information. A risk maturity index tool also allows users to obtain a risk maturity score.

Abstract: Risk information portal systems and methods are provided. The portal allows business managers and others to track, organize and review risks. One or more social media news feeds may provide risk information that is found from social media sources. The portal may also provide research tools and interactive tools to locate industry pricing information. A risk maturity index tool also allows users to obtain a risk maturity score.

Abstract: Systems and methods for presenting fraud detection information are presented. In one example, a computer system for managing and enabling communication of information potentially pertinent to identifying fraudulent activity receives requests via a producer interface, to store a plurality of data points potentially pertinent to identifying fraudulent activity from a plurality of source systems. A fraud exchange engine performs an analysis of the data points to produce a relational data point. And a consumer interface receives, from at least one target system, a request to retrieve at least one of a set of the plurality of data points and the at least one relational data point.

Abstract: Risk information portal systems and methods are provided. The portal allows business managers and others to track, organize and review risks. One or more social media news feeds may provide risk information that is found from social media sources. The portal may also provide research tools and interactive tools to locate industry pricing information. A risk maturity index tool also allows users to obtain a risk maturity score.

Abstract: Supporting problem resolution of an organization, in one aspect, may include obtaining operational data associated with the organization, calculating operating metrics based on the operational data, detecting one or more metrics trends based on the calculated operational metrics, identifying one or more relations between the metric trends, and determining one or more SEM patterns from two or more of the calculated operational metrics and metric trends.

Abstract: The following subject matter provides a computer-implemented method and system for calculation of cost-effectiveness of countermeasures in mitigating the threats on a system through calculating risk of threats. The calculation is run on a model of assets, threats, vulnerabilities and countermeasures and enables the production of easy to understand reports and action item lists showing the financial value of threat risks and countermeasures priorities and cost-effectiveness.

Abstract: Computer modeling process of project management based on Monte Carlo simulation of average quantum mechanical wave function of the project milestone predicting the project delay or project cost increase, based on presenting project milestones as superposition of wave functions of all tasks, averaged over multiple project samples, with each task's duration randomly distributed around its scheduled value.

Abstract: A risk framework is described for computing application risks. A risk value associated with each of one or more products included in an application may be determined. The risk value associated with each of the products may be classified as declining software risk, not-permitted software risk, declining hardware risk, and not-permitted hardware risk and may be weighted and summed to produce a technical risk score. A business criticality score may be computed based on how critical the application is to a business. The technical risk score and the business criticality score may be weighted and summed to produce a composite risk score. Based on one or more of the scores, planning may be conducted and strategies may be formulated to mitigate risk.

Abstract: A pricing optimization system can solve a constrained optimization problem by generating one or more prices for one or more items that satisfy a maximum number of prioritized constraints. The one or more generated prices can be one or more prices that represent a minimal deviation between the generated one or more prices and one or more original prices for the one or more items. By satisfying a maximum number of prioritized constraints, and by minimizing a deviation from the one or more original prices for the one or more items, the generated one or more prices are one or more optimal prices.

Abstract: The object of the present invention is to decrease the effort and cost involved in managing a product development project.

Abstract: Provided is a loss distribution calculation system, comprising: a frequency distribution/scale distribution input section that inputs information about a frequency distribution and a scale distribution; a scale distribution discretization section that performs either one or both of upside and downside discretizations for the input scale distribution; a sub-composite distribution calculation section that calculates, after performing division of all events, a probability value of a cumulative sum of losses for a portion out of all events in order to calculate either one or both of an upside sub-composite distribution and a downside sub-composite distribution, the upside sub-composite distribution being calculated based on the frequency distribution and the upside-discretized scale distribution, and the downside sub-composite distribution being calculated based on the frequency distribution and the downside-discretized scale distribution; an accuracy calculation section that calculates upper and lower bounds of

Abstract: A power and risk score calibrator is provided, which receives quantitative power and risk scores for each quantitative segment, and receives qualitative power and risk scores for each qualitative segment. The qualitative segment and the qualitative power and risk scores are defined by a user. The system generates consolidated segments. Then consolidated power and risk scores for each of the consolidated segments are generated, respectively. The gaps between the qualitative power and risk scores and the consolidated power and risk scores are reconciled. From these reconciliations, adjustment factors are generated, which are applied by pricing power and risk value calibrators. The system may also perform a drill down to explain the gap between the qualitative scores and the consolidated scores.

Abstract: A supplier of computing infrastructure is enabled to analyze an aspect of business with respect to cloud computing business users of the computing infrastructure. A model for a cloud computing business for the cloud computing business users to rent computing items of the computing infrastructure from the supplier is accessed. The model includes inputs, parameters, and knobs. Sensitivity analysis and risk assessment are performed using the model based on any of the inputs, parameters, and knobs. Output describing results of the sensitivity analysis and the risk assessment is provided.

Abstract: A risk-based complaint management system is provided to effectively prioritize risks and streamline a complaint process. The risk-based complaint management system comprises a risk assessment database and a risk engine. The risk assessment database is provided to establish and maintain product-specific questions. The product-specific questions are associated to risk and severity levels of product risk assessment. The risk engine is configured to determine a risk level of a customer complaint based on responses to the product-specific questions with regards to the customer complaint.

Abstract: Customer relationship management (CRM) system for enhanced retention of customers of a business entity. In one embodiment, a historical data corresponding to a customer is maintained in the CRM system, with the historical data including information on prior interactions between the customer and the business entity. On receiving a call from the customer, the historical data is identified and an attrition risk (indicating the probability of retaining the customer) is computed based on the identified data. Different offers based on the computed attrition risk are then determined and communicated to the customer during the call.

Abstract: Systems, methods, apparatus, computer program code and means for gathering, organizing and presenting on a real time basis information pertinent to Risks associated with subjects related to the Construction Industry. Risks associated with the Construction Industry can be managed by gathering data relevant to the Construction Industry from multiple sources and aggregating the gathered data according to one or more Risk variables. An inquiry relating to a Risk subject can be received and portions of the aggregated data can be associated with the Risk subject. The associated portions of the aggregated data can be transmitted to an entity placing the inquiry or other designated destination.

Abstract: In an exemplary embodiment of the present disclosure, an electrical system is provided. The system comprises a controller including a plurality of machine implemented processing sequences. The electrical system also includes a plurality of sensors configured to receive input related to the environmental conditions of the environment surrounding the plurality of sensors and transmit the input to the controller, at least one power source in electrical communication with the controller. The electrical system further includes at least one storage device in electrical communication with the controller, and at least one device sensor in communication with an end user. The at least one device sensor includes memory, and the memory includes priority information regarding the priority of a device associated with the at least one device sensor. The at least one device sensor is operable to transmit information to the controller.

Abstract: An event management system has a first input node, a second input node, and a food event management system. The first input node is adapted to receive epidemiological information. The second input node is adapted to receive food distribution path information. The food event management system is coupled to the first input node and to the second input node. The food event management system is adapted to compare the epidemiological information and the food distribution path information to identify one or more possible correlations and to generate an event output related to the one or more possible correlations.

Abstract: A method for identification of an instable network operator service (NOS) plan having one or more mobile users. Instable NOS plans are determined by first determining a heterogeneity constant for each of a plurality of NOS plans. Based at least in part on the constant, the NOS plans are classified among different categories, wherein at least one category identifies an instable NOS plan. For each of the mobile users subscribed to at least one of the instable NOS plan category, determining a best NOS plan from amongst the plurality of NOS plans and a sample network operator service plan based at least in part on a spending behavior of the respective ones of the mobile users. Identifying, the instable NOS plan from amongst the plurality of NOS plans in which maximum number of mobile users correspond to the sample NOS plan as the correspondingly determined best NOS plan.

Abstract: A method of presenting a visual representation of a probable impact of a weather phenomenon to a location includes obtaining an impact function for the location by combining a weather function corresponding to a characteristic of the weather phenomenon with a damage function associated with the same characteristic. A graphic representation of an interest at the location is obtained. A visual representation of a probable impact of the weather phenomenon on the interest by modifying the graphic representation of the interest, where the modification is based on a predicted impact to the interest determined using the impact function.

Abstract: A method and system for conducting an elemental analysis of a job's functions and requirements, conducting a medical diagnosis of a worker to determine the physical capabilities and limitations of the worker, and comparing the elemental analysis and the medical diagnosis to determine whether the worker can function in a particular job be it the current job, another existing job or a modification of either.

Abstract: A supply plan collaboration system tracks supply plans and, based upon status information received from users of the system, identifies future exceptions that will arise due to the status information, in the absence of further changes to the supply plan. Future exceptions may be tracked by the system, provided to users before or at the time that they occur, and closed or otherwise managed by the system as they become relevant or are removed by further changes related to the supply plan.

Abstract: Systems and methods are disclosed for managing information from a feasibility study of a clinical trial protocol. Data relationships in a database can be utilized to, for example, formulate bids for managing a clinical trial protocol, track information about a feasibility study, output reminder notifications regarding overdue documents in connection with the feasibility study, provide information for use in site start-up or other processes implemented in conducting the clinical trial protocol, and allow feasibility study information to be analyzed after a clinical trial protocol has been conducted.

Abstract: A system, method, and non-transitory computer readable medium for modeling IT infrastructure risk factors. The non-transitory computer readable medium having stored instructions, which when executed by a processor may cause the processor to generate a plurality of risk matrices, where an external process of a customer of an IT supplier is mapped to an IT infrastructure element of the IT supplier and a business process of a client of the customer is mapped to the external process of the customer, perform a risk analysis using the plurality of matrices to determine a criticality value for the IT infrastructure element in relation to the business process, and cause a presentation of the criticality value.

Abstract: Systems and methods are provided for assessing a risk associated with a requirements document and/or identifying one or more resources that can be used to manage the risk. A requirements document can be analyzed to extract elements from the requirements document into relationships. A relationship interface can be generated that includes the relationships for the requirements document. Information, associated with an entity or otherwise, relevant to the requirements document can be organized into risk issues using the relationships interface. One or more resources may be identified for the information relevant to the requirements document and an interface can be provided between the identified resource and a manager of the requirements document.

Abstract: A service task request ordering or prioritization system which has the intelligence to check all incidents on accounts supported by the Delivery Team in the current month, check the customer Service Level Agreement (“SLA”), check monthly ticket number average and calculate for a customer (or all customers) a priority level. The priority level assigned to a customer may be relative to other customers, or it may be an absolute indication of priority without regard to other customers. With this information, when a new ticket is opened, if this ticket is crucial to maintain the SLA according to the contract, the ordering will be based upon the priority level. For example, a light and/or sound alarm may turn on to indicate to the Delivery Team that a new ticket requires urgent attention based on its calculated priority level.

Abstract: A method, apparatus and computer program for determining and utilizing a time-expanded decision network is presented. A set of potential system configurations is defined. Next, switching costs are quantified to create a “static network” that captures the difficulty of switching among these configurations. A time-expanded decision network is provided by expanding the static network in time, including chance and decision nodes. Minimum cost paths through the network are evaluated under plausible operating scenarios. The set of initial design configurations are iteratively modified to exploit high-leverage switches and the process is repeated to convergence. Time-expanded decision networks are applicable, but not limited to, the design of systems, products, services and contracts.

Abstract: System and method for operational risk assessment and control. The present invention, in disclosed, example embodiments provides systems and methods to facilitate risk assessment, prioritization, mitigation and control activities. Various modules work together to accomplish risk assessment, prioritization, mitigation and stability tracking. The modules can be implemented by a computer system or systems, software and networks, or by other means, such as paper-based means. In some embodiments, operational risk management and control begins with an assessment for one or more functions of the organization involved. This assessment includes identifying failure modes, causes and effects, which are permuted to define risk items. A risk prioritization report is produced which prioritizes the risk items based at least in part on the ratings associated with the causes and effects, and a mitigation plan can be put in place.

Abstract: A change risk assessment system is disclosed. A question-and-answer approach is used to generate a risk assessment that can be broken down by various business categories. Scoring in example embodiments generates a risk level for each identified that takes into account high severity and low detectability characteristics of specific risks associated with a change or new project. The highest average risk priority number (RPN) from any category can be used to facilitate cross-project comparison of risk and reward balance. A risk level can be calculated for both an inherent risk, and a residual risk. The residual risk is calculated taking a mitigation plan into account. A color indication can be displayed for each identified risk, where the color indication is indicative of the risk level. The scoring for an identified risk can also be made to programmatically prompt escalation of the identified issue.

Abstract: Systems and methods for optimizing a portfolio comprising a plurality of assets, wherein the plurality of assets have a degree of interdependence are disclosed. The method may include estimating expected return rates, levels of risk, and correlation coefficients for a plurality of assets, wherein the assets are of the plurality of assets and the correlation coefficients are associated with the degree of interdependence of the assets; applying a non-standard probability distribution function to the assets to determine a distribution for each asset, wherein the non-standard probability distribution function is based at least on the expected return rate, level of risk, and correlation coefficient of that asset; and calculating an efficient frontier based on the distributions for the assets.

Abstract: Devices, methods, and systems for measuring information cohesion in an operating environment are described herein. One or more device embodiments include a memory and a processor coupled to the memory. The processor can be configured to execute executable instructions stored in the memory to receive a measurement of an information cohesion factor associated with an operating environment through an interaction with a human user via a user interface for information entry, analysis, and visualization, and determine a risk score associated with the operating environment by applying a weighting factor to the measurement of the information cohesion factor, wherein the weighting factor is based, at least in part, on a cognitive effect associated with the information cohesion factor.

Abstract: Augmenting service oriented architecture (‘SOA’) governance maturity including receiving an evaluation of the maturity of the governance of the SOA; identifying, for each governance capability in dependence upon the evaluation of the maturity of the governance capability, one or more predefined risks to the SOA; establishing, for each governance capability in dependence upon the predefined risks to the SOA, a risk value representing the severity of the predefined risks; selecting, for each governance capability in dependence upon the evaluation of the maturity of the governance of the SOA and the predefined risk value, one or more governance work products; and communicating to predetermined stakeholders in the SOA the one or more predefined risks to the SOA identified for each governance capability, the risk value established for each governance capability, and the governance work products selected for each governance capability.

Abstract: A method and apparatus for smart safety management is disclosed. The method may include receiving a request from a user to complete risk assessment form, retrieving a risk factors database from a memory and providing the risk factors database to the user, receiving risk factor information from the user concerning items in the risk factor database and any new or changed in risk factor information as defined by the user, storing the new or changed risk factor information received from the user in the risk factors database, calculating risk factor values based on the received risk factor information from the user concerning items in the risk factor database and any new or changed risk factor information as defined by the user, and outputting the risk assessment form containing the calculated risk factor values and providing the form to the user.

Abstract: The assessment of security risks associated with linear corridors, such as transportation corridors and utilities corridors, is provided. Initially, a site is selected for evaluation. Survey data and context sensitive information, such as demographic information, environmental information, corridor asset information, and the like, is collected for the site. Linear corridors are identified within the data, and critical assets within each linear corridor are also identified. Security risks associated with linear corridors may then be assessed using the survey data and context sensitive information. In addition, mitigation strategies, response strategies, and recovery strategies may be developed for the security risks assessed for the linear corridors.

Abstract: The reliability of a composite service having service components is determined, where the composite service can fail only where underlying resources fail. The composite service is represented as a plurality of continuous-time Markov chains (CTMC's). Each CTMC corresponds to a resource. A product of the CTMC's is constructed. The product encompasses composite service states. Steady-state probabilities for the product are determined. Each steady-state probability corresponds to a likelihood that a corresponding state will be a steady state. For each state of the composite service, a reward structure is determined. The reward structure corresponds to a likelihood that the state will successfully use the resources without failure. The reward structure is determined for a given state based on the given state's steady-state probability and based on discrete-time Markov chains (DTMC's) corresponding to the service components.

Abstract: A system and method of identifying, assessing and prioritizing risks are provided. The system and method may include a risk identification module that may identify one or more risks to a business, organization, entity, group or department within the entity, etc. One or more risk variables associated with each identified risk may then be identified. In some examples, the risk variables may be the same or substantially similar for all identified risks. A risk score for each identified risk variable may be determined and an overall risk score for each identified risk may then be determined based on the determined variable risk scores. In some examples, the overall score may be normalized on a predetermined scale. Once an overall score for each risk is determined, the risks having the highest priority may be identified.

Abstract: A displayed navigational cube configured to be navigated for use by a service provider to enable the service provider to select at least one vendor for meeting requirements of the service provider for deploying a selected service in a service delivery environment. The displayed navigational cube includes mutually orthogonal axes of a first axis, a second axis, and a third axis. Subservices of the selected service, vendors, and requirements are respectively represented on the first, second, and third axis to define elements at each unique combination of subservice, vendor, and requirement. Each element is transparent or non-transparent such that the navigational cube includes transparent elements and non-transparent elements. Each transparent element denotes an indication that the vendor is unable to meet each requirement for implementing each subservice. Each non-transparent element denotes an indication that the vendor is able to meet each requirement for implementing each subservice.

Abstract: Augmenting service oriented architecture (‘SOA’) governance maturity including receiving an evaluation of the maturity of the governance of the SOA; identifying, for each governance capability in dependence upon the evaluation of the maturity of the governance capability, one or more predefined risks to the SOA; establishing, for each governance capability in dependence upon the predefined risks to the SOA, a risk value representing the severity of the predefined risks; selecting, for each governance capability in dependence upon the evaluation of the maturity of the governance of the SOA and the predefined risk value, one or more governance work products; and communicating to predetermined stakeholders in the SOA the one or more predefined risks to the SOA identified for each governance capability, the risk value established for each governance capability, and the governance work products selected for each governance capability.

Abstract: A computer system assesses the overall risk for different technologies for an organization. Technologies may be evaluated by obtaining severity levels and environmental risk scores for the vulnerabilities associated with the technologies. Each severity level measures a possible risk level of a corresponding vulnerability, while each environmental risk score is based on the organization's environment. Technology risk scores are then determined from the severity levels and the environmental risk scores. Each technology may then be categorized from a statistical distribution of the technology risk scores. An indexed risk score for each technology may also be determined based on time trending variables. Inputs may be a number of vulnerabilities, blended advisory/severity scores, and a standard deviation of the blended advisory/severity scores, and the results then provide behavior forecasting of the technologies.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for determining pipeline asset integrity. According to an example embodiment of the invention, a computer executable method is provided for determining integrity of assets. The method can include identifying one or more risk factor conditions associated with one or more assets; evaluating the one or more risk factor conditions associated with the one or more assets; assigning non-linear weighted values to the one or more risk factor conditions based at least in part on evaluating the one or more risk factor conditions; determining one or more risk scores for the one or more assets based at least in part on the non-linear weighted values; and outputting the one or more risk scores.

Abstract: Embodiments of the present invention provide apparatuses and methods for determining the cost of poor quality of an incident within a business. One way to measure costs associated with an incident is by measuring failed customer interactions (“FCIs”). FCIs are defined as incidents that occur within the business that either directly or indirectly affect a customer's ability to use a product or service offered by the business. In most situations an FCI relates to a failed interaction between the business and the customer through a channel that affected the customer's use of a product or service through the channel. The cost of poor quality application calculates the total cost of an incident through a multifaceted valuation that factors in hard metrics, such as but not limited to actual costs, duration, channel costs, FCI severity, etc. in order to calculate a remediation cost, a channel FCI cost, and a reputation cost.

Abstract: Systems and methods to process overhead imagery received from overhead image sources are described herein. In one example, the method may include receiving an overhead image, detecting features on a property and deriving business information using the features. In another example, the system may include an overhead imagery module to positionally correlate images and an image analyzer to determine one or more features on a property. In a further example, the method may include receiving an overhead image, correlating the image with land maps, parsing individual properties, determining the property's values and aggregating the values across the image to derive a risk.

Abstract: The present invention relates to a frequency analysis module implementing apparatus and method of a quantitative risk assessment system. The apparatus includes an accident scenario generation unit for generating plural accident scenarios that define questions and formulas obtained from an expert for each accident to perform accident frequency and risk analysis; a module generation unit for generating plural modules individually corresponding to the accident scenarios; and a module driving unit for driving a module selected in correspondence with the accident from among the modules when the accident situation such as leaking of a hazardous material occurs. The module driven by the module driving unit performs accident frequency and risk analysis by calling an accident scenario corresponding to the module, providing a question defined by the accident scenario, and applying an answer input from a user in response to the question and a formula defined by the accident scenario.

Abstract: An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

Abstract: A system and method for mining the failure association rules of geographically dispersed physical assets is provided. One approach of the present invention has steps of joining input data sources, extracting spatio-temporal (ST) information, quantilizing ST continuous value in automated manner, or based on pre-built knowledge, applying association rule mining algorithm to find associations between attributes and failure and outputting identified ST failure association rules.

Abstract: A system and method for generating a contract related to a data recovery. Storage components may be automatically examined by a module that may be automatically downloaded from a server, over a computer network. Hardware information and an identification parameter may be obtained and sent to a server. A contract may be generated based on information received by the server. A contract may be validated and data recovery service may be provided based on a validated contract.

Abstract: An asset management system includes a plurality of assets, a plurality of sensors for determining one or more operating conditions for each of said assets and one or more processors for determining a risk profile for each of the assets over time. The processor is arranged to calculate a risk index value for each asset from the risk profile, the risk index providing a relative indicator of the need for maintenance of an asset. A maintenance queue is established and assets are entered into the queue once the risk index value for that asset matches or exceeds a predetermined threshold value, the position of the asset in the queue being determined based upon the value of its risk index.

Abstract: An apparatus and methods are disclosed for requirements decomposition and management. The apparatus includes a collection module, an organization module, and a graph module. These modules carry out the steps of collecting a project task description, the project task description comprising one or more properties, generating a directed acyclic hierarchy of one or more project tasks associated with the project task description, and generating a directed acyclic hierarchical graph view of the project, wherein the directed acyclic hierarchical graph view of the project comprises one or more nodes representing the one or more project tasks, and wherein the one or more nodes are arranged to graphically illustrate a directed acyclic hierarchical relationship between the one or more project tasks.

Abstract: A client-server based system for building and executing flows (i.e., interconnected systems of algorithms). The client allows a user to build a flow specification and send the flow specification to the server. The server assembles the flow from the flow spec and executes the flow. A flow may be configured to analyze the impact (e.g., the financial impact) of a number of uncertainties associated with a plurality of assets. Uncertainty variables are used to characterize the uncertainties associated with the assets. An uncertainty variable associated with one asset may be functionally dependent on an uncertainty variable associated with another asset.