Abstract: Systems, methods, and other embodiments associated with computing scenario forecasts according to electronic inputs are described. In one embodiment, a method includes, in response to receiving a signal that triggers data collection, collecting electronic data from one or more electronic databases by aggregating the electronic data into data structures of a processing table. The electronic data defines historic values of a set of instruments. The method also includes computing projected values for each of the set of instruments according to correlations identified in the historic values. The projected values form primary forecasts that model expected future values of the set of instruments. The method includes, in response to receiving electronic inputs including scenario variables of a scenario that affects the primary forecasts, generating scenario forecasts for the set of instruments according to the scenario variables and the projected values to identify how the scenario influences the primary forecasts.

Abstract: A data architecture for use within a cognitive information processing system environment comprising: a plurality of data sources, the plurality of data sources comprising a public data source and a private data source; and, a cognitive data management module, the cognitive data management module accessing information from the plurality of data sources and providing the information to an inference and learning system.

Abstract: Data processing computer systems, in various embodiments, are adapted for: (1) presenting a threshold privacy assessment that includes a first set of privacy-related questions for a privacy campaign; (2) receiving respective answers to the first set of questions; (3) using this initial set of answers to calculate an initial privacy risk score for the privacy campaign; (4) determining whether the privacy risk score exceeds the threshold privacy risk value; (5) in response to the privacy risk score exceeding the threshold privacy risk value, providing one or more supplemental questions to the user to facilitate the completion of a full privacy impact assessment. In some embodiments, in response to determining that the privacy risk score does not exceed the threshold privacy risk value, the systems and methods provide an indication that the particular privacy campaign is a relatively low privacy campaign.

Abstract: A computer-implemented method for evaluating cybersecurity risk may include (i) identifying telemetry data collected from endpoints of an entity, (ii) calculating a cybersecurity risk score for the entity by searching the telemetry data for information indicative of cybersecurity risk exposure of the entity and performing an actuarial analysis on the information indicative of the cybersecurity risk exposure to quantize a potential consequence of the cybersecurity risk exposure, and (iii) performing, based on the cybersecurity risk score, a security action to protect the entity from the potential consequence of the cybersecurity risk exposure. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method and system for risk measurement and modeling, which may be used to identify and mitigate information security risks for an information system, and which may improve the efficiency of risk measurement and modeling. Such a system may perform risk modeling based on threat likelihood information, the potential business impacts of particular threats, and data on the effectiveness of particular controls implemented by the operators of the information system, which may be used to calculate residual risk scores for particular risk scenarios that the information system may face.

Abstract: In an illustrative embodiment, methods and systems for cybersecurity assessment of an organization's technology infrastructure include identifying features of the technology infrastructure and automatically generating a threat profile relevant to both the technology infrastructure and the organization's business (and/or business objectives), where the threat profile includes potential threat actors and threat scenarios applicable to the technology infrastructure. The methods and systems may include evaluating cybersecurity controls of the organization's technology infrastructure in light of the threat profile to identify and rate vulnerabilities within the technology infrastructure.

Abstract: A railway vehicle condition monitoring apparatus includes a detection device for detecting vehicle information represented by a wheel load or the like of a wheel included in a railway vehicle running on a railroad track, and a determination device including a classifier to which the vehicle information detected by the detection device is input and which outputs a vehicle condition such as the presence or absence of an abnormality of the railway vehicle. The classifier is generated by means of machine learning that uses training data of a railway vehicle of which the vehicle condition is known, the training data being the vehicle information and the vehicle condition which is known, the machine learning being performed so that when the vehicle information of the training data is input to the classifier, the classifier outputs the vehicle condition of the training data.

Abstract: A computer system for efficient processing of rules-based data. Computer-readable instructions cause one or more processors to generate one or more user interface displays including prompts for data indicative of employee data and jurisdiction; based on user inputs received in response, generate questions; based on responses to the questions and jurisdiction data, determine pay periods with prompts for employee wage data for each of the pay periods; determine gross wages in response to received employee wage data; determine average weekly wage data based on determined gross wages, and generate one or more formatted state forms including wage and average weekly wage data.

Abstract: A computer-implemented method for providing a user with a performance indicator score includes receiving a first transaction message that includes historical clinical-trial performance data from one or more processors at a clinical research organization and receiving a second transaction message with health records data with parameters indicative of insurance claims data. The received historical clinical-trial performance data and the prescription data is translated into an updated database. Related records within the updated database are identified and one or more key performance indicators included in the data at the updated database for a first physician are identified. A score for each of the one or more key performance indicators are calculated and a performance indicator score record for the first physician is generated based on the calculated scores for each of the one or more key performance indicators. A multi-dimensional chart for organizing and evaluating investigators is generated.

Abstract: A method for receiving a plurality of types of data within a cognitive information processing system environment comprising: receiving data from a plurality of data sources, the plurality of data sources comprising a public data source and a private data source; accessing information from the plurality of data sources via a cognitive data management module; and, providing the information to an inference and learning system.

Abstract: Embodiments of the invention generally relate to methods and systems for operating authorization rules. An authorization rule has conditions that may be satisfied by an authorization request. A rule is rotated between the first mode and the second mode over a time interval wherein a first set of authorization requests are received. A first subset of the first set of authorization requests may not be rejected. After the first time interval, the authorization requests that were not rejected may be validated through an independent process. An accuracy rate for the rule is determined based on the portion of authorization requests that are valid and satisfied the conditions of the rule.

Abstract: Embodiments are directed to a computer implemented method of developing data for use by a business system. The method includes identifying, by a processor circuit, an occurrence having at least one characteristic that changes over time. The method further includes determining, by the processor circuit, a pattern of the change over time, wherein the pattern includes past changes and expected future changes. The method further includes identifying, by the processor circuit, a plurality of associations among data of an offering, data of a potential consumer and the pattern of the at least one characteristic's change over time. The plurality of associations also change over time, and the data for use by the business system is derived from the plurality of associations that change over time.

Abstract: Embodiments are directed to a computer implemented method of developing data for use by a business system. The method includes identifying, by a processor circuit, an occurrence having at least one characteristic that changes over time. The method further includes determining, by the processor circuit, a pattern of the change over time, wherein the pattern includes past changes and expected future changes. The method further includes identifying, by the processor circuit, a plurality of associations among data of an offering, data of a potential consumer and the pattern of the at least one characteristic's change over time. The plurality of associations also change over time, and the data for use by the business system is derived from the plurality of associations that change over time.

Abstract: A system for optimizing a completion operation includes an interface to equipment and sensors for performing the completion operation. The interface supplies control signals to the equipment and obtains measurement signals from the sensors. The system further includes a short-term optimizer that derives a current job state based at least in part on the measurement signals, and that further adjusts the control signals to optimize a short-term cost function. The short-term cost function includes a difference between the current job state and a desired job state derived from optimized values of a set of decision variables. The system further includes a long-term optimizer module that determines the optimized values based on a long-term cost function, the long-term cost function accounting for at least a long-term reward and a final state cost.

Abstract: A method and computer program product for extending a business process model.

Abstract: A system, medium, and method, including receiving a set of formalized requirements for accomplishing a mission; allocating, by the processor using architecture synthesis, constraint solving, and compositional verification techniques, a role to each of a plurality of assets comprising a team of autonomous entities, the team to execute specific tasks according to their role to accomplish the mission; and generating, by the processor using controller synthesis and verification techniques, automata for accomplishing the mission for the plurality of assets, the automata being encoded to confer an ability to dynamically react to external inputs during a run-time execution of the automata by the plurality of assets.

Abstract: A risk profile element is created and associated with a control element within a risk hierarchy associated with an organization. A risk attribute is updated automatically within the risk profile element in response to an event associated with the control element. The updated risk attribute is processed to evaluate risk associated with the control element.

Abstract: The present invention may be a method, computer program product, and system for predicting future safety incidents. The embodiments may receive a first set of incident data about a first safety incident. The first set of data may include a first set of factors and a first severity. The embodiments may create a safety incident model based on the first set of data by correlating the first set of factors with the first severity. The embodiments may receive a second set of incident data, where the second set of data may include a second set of factors. The embodiments may determine a predicted severity of the second set of incident data based on the safety incident model and the second set of factors. The embodiments may display one or more factors from one of the first and second set of factors, having the highest predicted incident severity.

Abstract: A method executed by one or more processors for analyzing at least one test image. The method includes collecting a plurality of reference images from at least one image source, extracting image features from the plurality of reference images, assigning weights to the image features extracted, determining image scores for the plurality of reference images, iteratively performing the assigning of the weights and the determining of the image scores, extracting image features from the at least one test image, assigning weights to the image features of the at least one test image, determining an image score for the at least one test image, based upon the weights assigned to the image features of the at least one test image, and providing an improvement proposal for the at least one test image, based upon the image score determined for the at least one test image.

Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing predictive engine evaluation and replay of engine performance.

Abstract: A computer-implemented method obtains an action sequence that includes a plurality of actions executed on behalf of a plurality of users for achieving at least one goal. An event sequence that includes a plurality of events associated with types of the plurality of actions is generated from the obtained action sequence. An association model based on the generated event sequence is determined. The association model defines a chronological relationship among events associated with the at least one goal.

Abstract: Embodiments disclosed herein describe one or more servers of an enterprise system that may be configured to receive security and vulnerability information from a plurality of data sources and then rate them based upon their respective variance from an enterprise policy or status quo configuration in a related process area. The servers may execute scoring modules to normalize the data received from the data sources to tailor the system response to a given vulnerability. As such, identified vulnerabilities may be rated according to the needs of the enterprise, rather than being rated according to the factory or default configurations of a particular data source.

Abstract: A computer readable medium, a file server, and a method for outcome-based mapping provide a marketing blueprint for aligning marketing activities to quantifiable business outcomes. In one form, the computer readable medium includes instructions that, when executed by a processor, cause the processor to generate a graphical user interface including text, a plurality of user-selectable options, and text input fields. The graphical user interface prompts a user through a process of defining a business outcome-based marketing program. The instructions, when executed, also cause the processor to receive user input corresponding to the graphical user interface defining quantifiable business outcomes and associated marketing tasks, and to map the associated marketing tasks to the quantifiable business outcomes to produce a marketing blueprint.

Abstract: There are provided a system, a method and a computer program product for generating an optimal preventive maintenance/replacement schedule for a set of assets. The method includes receiving data regarding an asset, said data including a failure rate function of said asset, a cost of preventative maintenance (PM) of said asset, a cost of an asset failure, and a cost of replacing an asset. An optimal number K of preventative maintenance time intervals tk and an indication of a possible replacement is computed and stored for each asset by minimizing a mean cost-rate value function with respect to an electrical age of the asset. A first PM schedule is formed without consideration of labor and budget resource constraints. The method further generates a second maintenance schedule for a system of assets by minimizing a deviation from the optimal PM time intervals subject to the labor and budget resource constraints.

Abstract: This technique determines the possible Service Level Agreement (SLA) violation during migrating a workload from a physical environment to a virtualized environment and also migrating a virtual machine (VM) from one physical machine to another within a virtualized environment. This technique uses capacity factor, i.e. the ratio of host physical machine (host PM) capacity and target physical machine (target PM) capacity, to determine the service rate change in the target PM compared to host PM and eventually calculates the VM utilization and response time in the target PM. It then checks if the VM utilization and response time in the target PM lies within the SLA limit. It further checks if the migration in the target virtualized PM is violating a predefined target PM utilization threshold or not and finally causes the migration in the target physical machine if all the SLA parameters are satisfied.

Abstract: The present invention is directed to methods, systems, and non-transitory computer readable mediums which can evaluate cyber readiness of an organization. The methods can include: presenting a plurality of objective questions to a user; receiving answers to said plurality of objective questions from said user; determining based on said answers a risk rating for a threat origin of a cyber-attack; determining based on said answers a strength rating for an organizational safeguard against said threat origin; comparing said risk rating of said threat origin to said strength rating of said organizational safeguard; determining based on said comparison a cyber readiness of said organizational safeguard from said cyber-attack by said threat origin; and presenting the cyber readiness of said organizational safeguard. Systems and non-transitory computer readable mediums operating in a similar fashion as such systems are disclosed herein.

Abstract: Identity context-based access control is implemented by generating an identity context expression from user identity data. In particular, users are clustered based on combinations of one or more attributes. These clusters comprise one or more identity context(s). Preferably, an intersection of attribute sets of each user in the cluster is formed. In addition, an intersection of attribute sets of each user not in the cluster also is formed. If the attribute set that is common across the cluster of users is not a subset of the attribute set that is common across the rest of the users, then the attribute set forms a unique identity context expression. To reduce the number of roles used in role-based access control (RBAC), at least one role is replaced with an identity context expression. Run-time access control is then enabled.

Abstract: A method, system, and computer program product for selectively disseminating content in social media are provided in the illustrative embodiments. Prior to a dissemination of the content, the content being prepared for the dissemination is detected. Using Natural Language Processing (NLP), the content is analyzed to identify a theme and a subject matter of the content. A set of data comprising data related to a set of social connections of a user in the social media is analyzed. A second theme resulting from analyzing a first data in the set of data is compared with the theme, the first data corresponding to a first social connection in the set of social connections. When the second theme matches the theme within a threshold, the first social connection is added to a selected sharing group. The content is disseminated to the selected sharing group.

Abstract: A method for assessing underwriting and distribution risks associated with a portfolio of subordinate debt is provided. The method is performed using a computer system coupled to a database. The method includes storing in the database historical bond issue data for a period of time preceding and proceeding at least one historical liquidity event and generating a plurality of simulated subordinate debt warehouses using the computer and the historical bond issue data stored in the database. The method also includes calculating a historical loss distribution based on the plurality of simulated subordinate debt warehouses generated. The method also includes determining a value at risk for a portfolio of subordinate debt resulting from a potential liquidity event by applying the historical loss distribution to the portfolio of subordinate debt.

Abstract: The present invention is applicable in the field of corporate finance, corporate capital investments, economics, math, business risk analysis, simulation, decision analysis, qualitative risk analysis, risk management, quantitative risk analysis, and business statistics, and relates to the modeling and valuation of investment decisions under uncertainty and risk within all companies, allowing these firms to properly identify, assess, quantify, value, diversify, and hedge their corporate capital investment decisions and their associated risks. Specifically, the present invention looks at starting from a comprehensive qualitative risk register and moving the analysis into the realms of quantitative risk modeling, simulation, and optimization.

Abstract: The disclosed computer-implemented method for dynamic access control over shared resources may include (1) detecting an attempt by a user to access a resource via a computing environment, (2) identifying a risk level of the user attempting to access the resource, (3) identifying a sensitivity level of the resource, (4) identifying a risk level of the computing environment through which the user is attempting to access the resource, (5) determining an overall risk level for the attempt to access the resource based at least in part on (A) the risk level of the user, (B) the sensitivity level of the resource, and (C) the risk level of the computing environment, and then (6) determining, based at least in part on the overall risk level, whether to grant the user access to the resource via the computing environment. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A unit planning system programmed to provide a graphical user interface to one or more user devices associated with users of the system us disclosed. The graphical user interface may provide the user devices with functionality for receiving graphical, geospatial data describing geographic areas, existing retail units, target areas for potential retail units, and sites for potential retail units. In conjunction with the graphical user interface and/or independent from it, the unit planning system may also be programmed to collect, calculate and organize data related to target geographic areas for placement of retail units as well as potential sites for placements of retail units.

Abstract: A dialog aggregator provided by a contact center communication system for text-based interaction chains is described along with various methods and mechanisms for administering the same. The dialog aggregator produces a summary, in real-time, of questions posed and existing answers in the interaction chain while identifying outstanding questions that have not been answered for display to an agent. The display includes any current answer the agent is working on as well as completed items and additionally executes rules based on the status of the remaining questions. The display in canonical form of the summary and outstanding question set enables a contact center agent or other observer of the interaction to quickly and efficiently assess the interaction history.

Abstract: A method, apparatus, and program product generate an estimation of an incremental recovery for an Enhanced Oil Recovery (EOR) process performed on a naturally-fractured reservoir by classifying the naturally-fractured reservoir based upon a set of reservoir properties associated with the naturally-fractured reservoir, and generating an estimation of the incremental recovery for at least one EOR process based on the classification of the naturally-fractured reservoir.

Abstract: A computer system for hybrid process modeling is provided. A graphical model of a process and transaction events of executed instances of the process are stored. Types of the transactional events are mapped to the elements of the graphical model. A performance values is derived for at least one of the graphical model elements based on transaction events that are associated with that graphical model element. A hybrid version of the graphical model is generated with the derived performance values.

Abstract: A property assessment system includes image processing logic configured to identify building structure attributes from image data and rate their associated condition. The outputs can include property condition ratings, occupancy predictions and similar scores.

Abstract: In one embodiment, a method includes facilitating a real-time cross-plot display of drilling-performance data for a current well. The real-time cross-plot display includes a plurality of data plots represented on a common graph such that each data plot specifying at least two drilling parameters. Each data plot includes a plurality of data points such that each data point is expressable as Cartesian coordinates in terms of the at least two drilling parameters. The method further includes receiving new channel data for the current well from a wellsite computer system. In addition, the method includes creating, from the new channel data, new data points for the plurality of data plots as the new channel data is received. Moreover, the method includes updating the plurality of data plots with the new data points as the new data points are created.

Abstract: A computing system determines incremental values associated with a plurality of clustering solutions. Each of the clustering solutions groups stores of a retailer into clusters in a different way. For each clustering solution in the plurality of clustering solutions, the incremental value associated with the clustering solution indicates a difference between an estimated revenue associated with the clustering solution and revenue associated with a baseline clustering solution. The computing system then determines, based on the incremental values associated with the plurality of clustering solutions, the appropriate number of clusters. The clustering solutions that group the stores into more or fewer clusters than the appropriate number of clusters tend to be associated with incremental values that are the same or lower than the clustering solutions that group the stores into the appropriate number of clusters.

Abstract: According to an embodiment of the present invention, a computer implemented method and system for isolating variables in a behavior prediction model comprises: identifying a plurality of groups comprising a first group of variables and a second group of variables; building a model, using a computer processor, for capturing an effect of the first group of variables in predicting behavior for customers; building a subsequent stage of the model, using a computer processor, on a second group of variables to neutralize the effect of the first group of variables; displaying results of the model wherein the results minimize the effect of the first group of variables in predicting behavior at a user interface; and identifying a response based on the results for a segment of the customers.

Abstract: A system, method, and computer program product are provided for calculating risk associated with a software testing project. In use, a plurality of inputs associated with at least one software testing project are received. Additionally, risk elements are identified utilizing the plurality of inputs. Further, a weight is assigned to each of the identified risk elements, the weight capable of being adjusted based on user feedback. Moreover, an overall risk is calculated for the at least one software testing project based on the identified risk elements and assigned weights.

Abstract: A method for risk mitigation comprises calculating on at least one processor, a likelihood of occurrence for a risk event, a degree of disruption for the risk event and a disruption time for the risk event. Each risk event is in a list of risk events. The likelihood of occurrence is based on a frequency of risk of the risk event. The degree of disruption is based on a severity of risk of the risk event. The disruption time is based on a duration of restoring an asset to a condition prior to the risk event. A value at risk based on the likelihood of occurrence, the degree of disruption and the disruption time is determined for the risk event. A mitigation action is determined to reduce the value at risk. An indication of the mitigating action is presented on a user interface.

Abstract: A testing scheduling system for optimizing and scheduling a testing path among a plurality of available work station calculates a distance between work stations according to the coordinates of the of the available work stations, assigns a value to a quantity, and applies this to the failure rate of each work station, the backlog quantities of each work station, the test-awaited quantities, and the distances between each available work station to acquire a failure rate value, a backlog quantities value, a test-awaited quantities value, and a distances value. The testing scheduling system further calculates a first weighted value of each available work station by summing the failure rate value, the backlog quantities value, the test-awaited quantities value, and the distances value of each available work station, and analyzes the first weighted values to determine a preferred work station.

Abstract: A method, a system, and a device for monitoring risks associated with at least one business process, including: evaluating at least one of a plurality of document instances, wherein each of the document instances includes, in association therewith, a plurality of document values, against a plurality of risk categories; implementing the plurality of risk categories pursuant to at least one acceptable risk policy approved for the at least one business process; and qualifying at least one of the at least one of the plurality of documents pursuant to an approval rating of the at least one document in at least one risk category. The system, method, and device efficiently monitor risk, and allow for flexibility in modifying or updating risk policy.

Abstract: Embodiments of the invention provide for systems, devices, apparatus, methods, and computer program products for allowing a first agent associated with an entity to initiate contact with a second agent associated with the entity via a contact entry point. The contact entry point is displayed on an interface page and enables a first agent to contact other agents associated with the entity in a faster, more efficient, and better informed manner.

Abstract: A method for database consolidation includes generating a model for expected penalty estimation; determining a tenant's value as a function of query arrival rate and SLA penalty; placing a tenant to minimize a total expected cost in the order of the tenant value; and progressively using additional servers to prevent any server from being saturated to guarantee a tenant placement that costs no more than four times the cost of any other placement.

Abstract: Embodiments of the invention provide for systems, devices, apparatus, methods, and computer program products for providing an activatable indicium configured as an entry point for accessing contact information on a user interface. The activatable indicium, which may be a company logo, company name or the like, is not initially readily identifiable as an entry point for accessing the contact information. However, over time and continual use, the user recognizes that the presentation of the indicium regardless of the platform provides for an entry point for accessing contact information.

Abstract: Systems and methods are provided for generating multiple system state projections for one or more scenarios using a grid computing environment. A central coordinator software component executes on a root data processor and provides commands and data to a plurality of node coordinator software components. A node coordinator software component manages threads which execute on its associated node data processor and which perform a set of matrix operations. Stochastic simulations use results of the matrix operations to generate multiple state projections. Additional processing can be performed by the grid computing environment based upon the generated state projections, such as to develop risk information for users.

Abstract: A quantitative approach to analytically assess technical elements within a system design. Numerical analysis and sorting is performed across the technical elements. Risk analysis is performed by evaluating criteria and ranking the evaluated criteria. The ranking criteria are placed into groups, with the groups identifying area that will be mitigated against risk.

Abstract: A positive response notification to provide information regarding locate and/or marking operations for underground facilities may include time-stamp information to provide proof of a time at which the locate and/or marking operation was completed by a locate technician, and/or place-stamp information to provide proof of a presence of the locate technician at or near a work site. An electronic manifest image and/or a virtual white line image similarly may be included in a positive response notification. In one example, such images may be bundled together based on respective descriptor files (or descriptor metadata) that associates the corresponding images with a locate request ticket for the operation. In another example, a positive response notification may include environmental information regarding one or more environmental conditions present at or near the work site during the locate and/or marking operation.

Abstract: Embodiments of the invention are directed to apparatus, methods, and computer program products for identifying process control gaps and process control improvement opportunities in a financial institution. The present invention leverages both Failure Mode and Effects Analysis (FMEA), specifically implementation of a risk priority number/score and Federal Financial Institution Examination Council (FFIEC) examination guidelines, specifically completion of a process control guidance checklist to result in a process control status score. As a result of the integration of FMEA and FFIEC examination guidelines, a resulting risk-based process health score is implemented to identify the risk of lack of process controls or gaps in existing process controls. As a result, actions may be taken to mitigate the risk and/or provide the requisite process controls.