Abstract: Modularized data processing systems and methods for its use are provided. Processing a current job can reuse data generated for a previously processed job to the extent the two share parameter configurations. Similarly, outputs of processing modules generated during processing the previously processed job can be used as inputs to processing modules processing a current job, if the two jobs share some parameter configurations.

Abstract: Embodiments of the present invention provide methods, computer program products, and a system for determining and providing health risk alerts. Embodiments of the present invention can be used to collect numbers entered by a user, which in turn are used to determine the health risks of the behavior of the user. Embodiments of the present invention can be used to issue alerts to a person of interest based, at least in part, on the number strings entered by the user.

Abstract: Embodiments of the present invention provide methods, computer program products, and a system for determining and providing health risk alerts. Embodiments of the present invention can be used to collect numbers entered by a user, which in turn are used to determine the health risks of the behavior of the user. Embodiments of the present invention can be used to issue alerts to a person of interest based, at least in part, on the number strings entered by the user.

Abstract: A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a healthcare analytics management system. A healthcare analytics development sub-system of the healthcare analytics management system develops an analytics pipeline of a set of analytics assets for a selected healthcare based on a set of business needs for a healthcare analytics client and a healthcare analytics model based on the set of analytics assets and the set of business needs. The healthcare analytics model links to the analytics pipeline. A model deployment module of a healthcare analytics operation sub-system of the healthcare analytics management system deploys the healthcare analytics model on a set of computing devices of the selected healthcare consumer.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a healthcare analytics management system. A healthcare analytics development sub-system of the healthcare analytics management system develops an analytics pipeline of a set of analytics assets for a selected healthcare based on a set of business needs for a healthcare analytics client and a healthcare analytics model based on the set of analytics assets and the set of business needs. The healthcare analytics model links to the analytics pipeline. A model deployment module of a healthcare analytics operation sub-system of the healthcare analytics management system deploys the healthcare analytics model on a set of computing devices of the selected healthcare consumer.

Abstract: An application as a service provided in a secure environment. A sandbox in a user's computing environment may be created. An application may be downloaded to the user's computing environment to run within the sandbox. Data sources associated with the user's computing environment may be searched and connectivity established with data registry of the data sources based on data description received with the application. The application may be run within the sandbox using the established connectivity. Metering may be performed to monitor usage of the application at the user's computing environment.

Abstract: An application as a service provided in a secure environment. A sandbox in a user's computing environment may be created. An application may be downloaded to the user's computing environment to run within the sandbox. Data sources associated with the user's computing environment may be searched and connectivity established with data registry of the data sources based on data description received with the application. The application may be run within the sandbox using the established connectivity. Metering may be performed to monitor usage of the application at the user's computing environment.

Abstract: A method includes obtaining a demand specification specifying a plurality of multi-modal freight shipment scenarios, each of the multi-modal freight shipment scenarios including at least a destination and an origin, generating, with a booking tool, a plurality of feasible multi-modal routes for each of the multi-modal freight shipment scenarios using route information from a carrier database, determining a plurality of business compliant routes among the plurality of feasible multi-modal routes for each of the multi-modal freight shipment scenarios using a rules specification specifying different business rules for each of the multi-modal freight shipment scenarios, comparing the multi-modal freight shipment scenarios by the business compliant routes determined for each respective one of the multi-modal freight shipment scenarios, and identifying at least one business rule, among the different business rules, affecting an aggregate cost-savings using the comparison of the multi-modal freight shipment scenario

Abstract: A method includes obtaining a demand specification specifying a plurality of multi-modal freight shipment scenarios, each of the multi-modal freight shipment scenarios including at least a destination and an origin, generating, with a booking tool, a plurality of feasible multi-modal routes for each of the multi-modal freight shipment scenarios using route information from a carrier database, determining a plurality of business compliant routes among the plurality of feasible multi-modal routes for each of the multi-modal freight shipment scenarios using a rules specification specifying different business rules for each of the multi-modal freight shipment scenarios, comparing the multi-modal freight shipment scenarios by the business compliant routes determined for each respective one of the multi-modal freight shipment scenarios, and identifying at least one business rule, among the different business rules, affecting an aggregate cost-savings using the comparison of the multi-modal freight shipment scenario

Abstract: Booking information including destination and origin and specifying a desired multi-modal freight shipment is obtained from a user; based on same and on route information from a carrier database, a plurality of feasible multi-modal routes for the desired freight shipment are generated with a route enumeration module. Based on cost information from the carrier database, cost for each of the feasible multi-modal routes is computed with a cost estimation sub-module of a metric computation module. Based on transit time information from the carrier database, transit time for each of the feasible multi-modal routes is computed with a transit time estimation sub-module of the metric computation module. Based on the cost for each of the feasible multi-modal routes and the transit time for each of the feasible multi-modal routes, multi-objective optimization under uncertainty is carried out with an optimization module, to obtain one or more preferred feasible multi-modal routes.

Abstract: Booking information including destination and origin and specifying a desired multi-modal freight shipment is obtained from a user; based on same and on route information from a carrier database, a plurality of feasible multi-modal routes for the desired freight shipment are generated with a route enumeration module. Based on cost information from the carrier database, cost for each of the feasible multi-modal routes is computed with a cost estimation sub-module of a metric computation module. Based on transit time information from the carrier database, transit time for each of the feasible multi-modal routes is computed with a transit time estimation sub-module of the metric computation module. Based on the cost for each of the feasible multi-modal routes and the transit time for each of the feasible multi-modal routes, multi-objective optimization under uncertainty is carried out with an optimization module, to obtain one or more preferred feasible multi-modal routes.

Abstract: An application as a service provided in a secure environment. A sandbox in a user's computing environment may be created. An application may be downloaded to the user's computing environment to run within the sandbox. Data sources associated with the user's computing environment may be searched and connectivity established with data registry of the data sources based on data description received with the application. The application may be run within the sandbox using the established connectivity. Metering may be performed to monitor usage of the application at the user's computing environment.

Abstract: An application as a service provided in a secure environment. A sandbox in a user's computing environment may be created. An application may be downloaded to the user's computing environment to run within the sandbox. Data sources associated with the user's computing environment may be searched and connectivity established with data registry of the data sources based on data description received with the application. The application may be run within the sandbox using the established connectivity. Metering may be performed to monitor usage of the application at the user's computing environment.

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: 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 preventative maintenance method and a system for estimating the risk of failure of an asset based on intrinsic parameters such as failure history combined with causative factors like weather and independent external risk factors such as vandalism and risk of flooding. The present invention may further have a system for estimating the risk of failure of an asset based on intrinsic parameters, such as failure history combined with causative factors such as weather and independent external risk factors like vandalism and risk of flooding having a location based asset/service failure risk estimator, an external risk estimates database for feeding and an integrated failure risk database, the external risk estimates database feeding the integrated failure risk database.

Abstract: Embodiments of the invention relate to asset lifecycle management. A method includes assessing a current health condition of a plurality of assets that are managed by a plurality of different entities. Predictive analytics are applied to determine a predicted future health condition of the assets. Prescription options for the assets are determined based on the current health condition and the predicted future health condition of the assets. Each prescription option specifies an asset, a timeframe, an expected cost, and an expected future health condition of the asset. Spatial and temporal analytics are performed to combine individual prescription options into a unified project. The unified project includes prescription options that specify assets that are managed by at least two of the entities. A timeframe to execute the unified project is determined based on financial constraints and spatial constraints. The unified project plan is output.

Abstract: Embodiments relate to stochastic investment planning. One aspect includes receiving a plurality of constraints associated with projects to be performed by a plurality of agencies. The constraints are compared across the projects to identify projects having a spatial overlap and compatible project types. Two or more of the projects are combined based on compatibility of the projects having the spatial overlap. An optimization model is applied to the combined projects to produce an optimization parameter representing a critical attribute based on at least one uncertainty of the combined projects. The comparing, the combining, and the applying of the optimization model are iteratively repeated while varying a threshold for combining the projects until the optimization parameter is determined to be within an acceptable range.

Abstract: Embodiments relate to stochastic investment planning. One aspect includes receiving a plurality of constraints associated with projects to be performed by a plurality of agencies. The constraints are compared across the projects to identify projects having a spatial overlap and compatible project types. Two or more of the projects are combined based on compatibility of the projects having the spatial overlap. An optimization model is applied to the combined projects to produce an optimization parameter representing a critical attribute based on at least one uncertainty of the combined projects. The comparing, the combining, and the applying of the optimization model are iteratively repeated while varying a threshold for combining the projects until the optimization parameter is determined to be within an acceptable range.