Abstract: Systems, computer-implemented methods, and computer program products that can facilitate refinement of a predicted event based on explainability data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interpreter component that identifies a probable cause of a predicted event based on explainability data. The computer executable components can further comprise an enrichment component that executes a diagnostic analysis based on the probable cause.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate refinement of a predicted event based on explainability data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interpreter component that identifies a probable cause of a predicted event based on explainability data. The computer executable components can further comprise an enrichment component that executes a diagnostic analysis based on the probable cause.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate refinement of a predicted event based on explainability data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interpreter component that identifies a probable cause of a predicted event based on explainability data. The computer executable components can further comprise an enrichment component that executes a diagnostic analysis based on the probable cause.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations to accept ecosystem data and detect, analyze, and notify a user about a species in an environment. The system analysis and notification may include impact determination of the species on the environment and shall learn from the received and analyzed data, bringing intelligence to the system.

Abstract: While it is well known to power traffic control devices (for example, traffic lights) by an alternative energy source during power outages, some embodiments of the present invention additionally have: (i) a set of control computer(s), remote from the various traffic control devices, that is powered by an alternative energy source during a power outage; and/or (ii) a communication network, for communications between the set of control computer(s) and the various traffic control devices, that is powered by an alternative power source during a power outage. The use of alternative power to power the control computer(s) (for example, a hub) and/or the communication network allows the traffic control devices to continue to operate in a coordinated manner as instructed by the control computers, thereby avoiding a situation where the traffic lights begin operating independently of each other during a power outage.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations to accept ecosystem data and detect, analyze, and notify a user about a species in an environment. The system analysis and notification may include impact determination of the species on the environment and shall learn from the received and analyzed data, bringing intelligence to the system.

Abstract: While it is well known to power traffic control devices (for example, traffic lights) by an alternative energy source during power outages, some embodiments of the present invention additionally have: (i) a set of control computer(s), remote from the various traffic control devices, that is powered by an alternative energy source during a power outage; and/or (ii) a communication network, for communications between the set of control computer(s) and the various traffic control devices, that is powered by an alternative power source during a power outage. The use of alternative power to power the control computer(s) (for example, a hub) and/or the communication network allows the traffic control devices to continue to operate in a coordinated manner as instructed by the control computers, thereby avoiding a situation where the traffic lights begin operating independently of each other during a power outage.

Abstract: A method for generating a series of questions from a presentation that includes receiving information materials for a presentation session, and converting the information materials into a text based data element. The method further includes comparing the text based data elements to a knowledge base directed to topics of interest to score the text based data elements for priority, and transforming text based data elements having a score above a threshold value into plurality of quiz metadata objects. The quiz metadata objects include context from the topics of interest. The method further includes generating quiz questions from the plurality of quiz metadata objects using the context and a set of templates of question types.

Abstract: Techniques for detecting a possible health issue in a user are described. Data related to social media activity for a user is received over a communications network from one or more computing devices. A user analysis profile is generated for the user using a first machine learning model. The user analysis profile includes a personality profile and a mood score. A weighted score associated with potential health issues for the user is determined by classifying the user analysis profile using a second machine learning model. The weighted score exceeds a pre-determined threshold, and electronic notification is provided to a pre-designated person regarding the potential health issue.

Abstract: A method, computer system, and a computer program product for implementing a plurality of actions associated with an impaired driver to prevent vehicle accidents is provided. The present invention may include collecting, from a plurality of existing vehicle sensors and a plurality of existing portable user device sensors, a plurality of data. The present invention may also include analyzing the collected plurality of data. The present invention may then include determining an impairment state associated with the driver. The present invention may further include implementing the plurality of actions to prohibit the driver from operating the vehicle. The present invention may then include storing the implemented plurality of actions, the analyzed plurality of data, and the determined impairment state associated with the driver in a historical database.

Abstract: An approach for allocating mainframe resources in a networked computing environment (e.g., a cloud computing environment) is provided. In an embodiment, each workload that executes on a mainframe system is classified into one or a plurality of workload classes. Each workload class has workloads that share a common objective. A historical allocation of initiators for each workload class over time is analyzed. Based on this analysis, a number of allocation selections, which each assign a number of initiators to each workload class, are generated based on the historical utilization data. The allocation selection that is ultimately implemented is selected from these allocation selections based on KPI factors.

Abstract: Data-driven evaluation of locations for a proposed business is provided by a method that includes identifying and weighing business success attributes for a desired business segment and business segment requirements for a proposed business, identifying candidate locations, calling to devices to request attribute data for the business success attributes, obtaining success rates and attribute data for other businesses, ranking the candidate locations on anticipated success of the proposed business, and generating digital documents informing of the candidate locations, providing at least some of the attribute data, and identifying a preferred location, of the candidate locations, for the proposed business.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate refinement of a predicted event based on explainability data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interpreter component that identifies a probable cause of a predicted event based on explainability data. The computer executable components can further comprise an enrichment component that executes a diagnostic analysis based on the probable cause.

Abstract: An approach for allocating mainframe resources in a networked computing environment (e.g., a cloud computing environment) is provided. In an embodiment, each workload that executes on a mainframe system is classified into one or a plurality of workload classes. Each workload class has workloads that share a common objective. A historical allocation of initiators for each workload class over time is analyzed. Based on this analysis, a number of allocation selections, which each assign a number of initiators to each workload class, are generated based on the historical utilization data. The allocation selection that is ultimately implemented is selected from these allocation selections based on KPI factors.

Abstract: A method and system for determining a potential for a personal threat to a user based on location. A system receives geolocation data associated with the user, searches for information related to the geolocation data associated with the user, analyzes and correlates the information related to the geolocation data associated with the user and a location to calculate a level of risk to the user by evaluating dangerous situations which are currently in progress in or around the location; and when the level of risk to the user is imminent or latent, sending a personal notification describing the threat to the user.

Abstract: Techniques for detecting a possible health issue in a user are described. Data related to social media activity for a user is received over a communications network from one or more computing devices. A user analysis profile is generated for the user using a first machine learning model. The user analysis profile includes a personality profile and a mood score. A weighted score associated with potential health issues for the user is determined by classifying the user analysis profile using a second machine learning model. The weighted score exceeds a pre-determined threshold, and electronic notification is provided to a pre-designated person regarding the potential health issue.

Abstract: A method, computer system, and a computer program product for implementing a plurality of actions associated with an impaired driver to prevent vehicle accidents is provided. The present invention may include collecting, from a plurality of existing vehicle sensors and a plurality of existing portable user device sensors, a plurality of data. The present invention may also include analyzing the collected plurality of data. The present invention may then include determining an impairment state associated with the driver. The present invention may further include implementing the plurality of actions to prohibit the driver from operating the vehicle. The present invention may then include storing the implemented plurality of actions, the analyzed plurality of data, and the determined impairment state associated with the driver in a historical database.

Abstract: Data-driven evaluation of locations for a proposed business is provided by a method that includes identifying and weighing business success attributes for a desired business segment and business segment requirements for a proposed business, identifying candidate locations, calling to devices to request attribute data for the business success attributes, obtaining success rates and attribute data for other businesses, ranking the candidate locations on anticipated success of the proposed business, and generating digital documents informing of the candidate locations, providing at least some of the attribute data, and identifying a preferred location, of the candidate locations, for the proposed business.

Abstract: A method and system for remotely managing business processes via a mobile device is provided. The method includes enabling, for a user, an application integrated with analytic models and geo-positioning technology. The user and a location of the user are identified. Preferences associated with the user are identified and a status of business processes associated with the entity at the location is monitored. In response, a status of the entity at the location is determined. Status data associated with the status is presented to the user via the mobile device. The status data is based on the preferences. The user may initiate an escalation process based on the status provided.

Abstract: A method and system for remotely managing business processes via a mobile device is provided. The method includes enabling, for a user, an application integrated with analytic models and geo-positioning technology. The user and a location of the user are identified. Preferences associated with the user are identified and a status of business processes associated with the entity at the location is monitored. In response, a status of the entity at the location is determined. Status data associated with the status is presented to the user via the mobile device. The status data is based on the preferences. The user may initiate an escalation process based on the status provided.