Abstract: In an approach for balancing mainframe and distributed workloads, a processor receives a request to allocate an application workload to a mainframe platform and a distributed computing platform. The application workload includes a plurality of work units. A processor collects performance and cost data associated with the application workload, the mainframe platform, and the distributed computing platform. A processor determines the mainframe platform and the distributed computing platform for the plurality of work units of the application workload, based on the analysis of the performance and cost data. A processor allocates the plurality of work units of the application workload to run on the mainframe platform and the distributed computing platform respectively to balance performance and cost in real time.

Abstract: Systems and methods enable automated workflow analysis implementations of solutions. In embodiments, a method includes: aggregating input data from an environment from multiple data sources; automatically identifying a problem in a workflow implemented in the environment by processing and analyzing the workflow based on the aggregated input data; automatically determining solutions to the problem in the workflow using at least one iteratively trained machine learning model to analyze the processed input data, including: identifying characteristics of the workflow; identifying one or more candidate solutions based on the characteristics; ranking the one or more candidate solutions; and determining the one or more solutions to the problem based on the ranking; and automatically implementing at least one of the one or more solutions to address the problem in the workflow, thereby creating an updated workflow in the environment.

Abstract: A method, a computer system, and a computer program product for a multi-dimension artificial intelligence (AI) agriculture advisor is provided. Embodiments of the present invention may include creating a user profile. Embodiments of the present invention may include preparing and transforming the external data. Embodiments of the present invention may include conducting a hypothesis on the transformed data. Embodiments of the present invention may include validating the transformed data. Embodiments of the present invention may include training an artificial intelligence (AI) model based on the transformed data. Embodiments of the present invention may include validating and retraining the artificial intelligence (AI) model. Embodiments of the present invention may include matching the user data with the artificial intelligence (AI) model. Embodiments of the present invention may include ranking results based on the matching the user data with the artificial intelligence (AI) model.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises determining potential risks associated with a building by analyzing images of the building; generating an interactive diagram that includes a visual representation of structures associated with the building that depicts the determined potential risks associated with the building; and creating a geo-fence surrounding the building upon the program determining potential risks.

Abstract: In an approach for balancing mainframe and distributed workloads, a processor receives a request to allocate an application workload to a mainframe platform and a distributed computing platform. The application workload includes a plurality of work units. A processor collects performance and cost data associated with the application workload, the mainframe platform, and the distributed computing platform. A processor determines the mainframe platform and the distributed computing platform for the plurality of work units of the application workload, based on the analysis of the performance and cost data. A processor allocates the plurality of work units of the application workload to run on the mainframe platform and the distributed computing platform respectively to balance performance and cost in real time.

Abstract: Computer-implemented methods, systems and computer program products leveraging wireless communication networks to deliver content from a plurality of content sources to multiple users viewing different content on the same display device. Receiving devices connect to the display device and allow simultaneous and independent content viewing by establishing a connection to the display device, selecting the content to view from the plurality of content sources available and wirelessly transmitting audio and video frames of the selected content at a particular frequency to the receiving device tuned into the frequency of the process ID broadcasting the selected content. For example, smart glasses, AR devices or VR headsets. As the user views the display device through the receiving device, different users experience the different selected content overlaid or emulated onto the same display device without interfering or being able to view content simultaneously displayed to other users of the display device.

Abstract: A method for automatically reducing computer errors is provided. The method may include in response to detecting an interactive session, dynamically extracting data associated with a user by using a keylogging component and a camera associated with the computer. The method may further include performing real-time analysis on the extracted data to determine a risk score, whereby the risk score is used to determine whether a potential risk for a computer error exists based on the extracted data associated with the user. The method may further include in response to a command being entered on the command line interface, determining a risk score associated with the entered command. The method may also include in response to determining that the risk score is at or above a threshold risk level based on the real-time analysis, preventing the entered command from being executed and taking an additional preventive computing action.

Abstract: Techniques for agriculture action recommendation are provided. Agricultural information from a plurality of data sources is used to generate a general agriculture data profile and user specific agricultural information is used to generate a user data profile. The general and user specific agricultural information is utilized by an agriculture optimization model to provide an action recommendation and the justification summary for an agriculture product. The action recommendation and the justification summary are based on a plurality of sell and storage options for the at least one agriculture product generated using the agriculture optimization model, where an optimal recommendation is selected by the agriculture optimization model for the agricultural product.

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 for automatically reducing computer errors is provided. The method may include in response to detecting an interactive session, dynamically extracting data associated with a user by using a keylogging component and a camera associated with the computer. The method may further include performing real-time analysis on the extracted data to determine a risk score, whereby the risk score is used to determine whether a potential risk for a computer error exists based on the extracted data associated with the user. The method may further include in response to a command being entered on the command line interface, determining a risk score associated with the entered command. The method may also include in response to determining that the risk score is at or above a threshold risk level based on the real-time analysis, preventing the entered command from being executed and taking an additional preventive computing action.

Abstract: Guiding agribusiness producer prescriptive decisions is provided. A first risk coefficient and a first profit coefficient corresponding to selling a commodity via a traditional market and a second risk coefficient and a second profit coefficient corresponding to selling the commodity via a futures market are calculated. A minimized level of risk is calculated based on the first and second risk coefficient and information in a profile received from a producer of the commodity. A maximized level of profit is calculated based on the first and second profit coefficient and information in the profile received from the producer of the commodity. A recommendation is sent to a dashboard with a justification including calculations of the minimized level of risk and the maximized level of profit, a first percentage of the commodity to sell via the futures market and a second percentage of the commodity to sell via the traditional market.

Abstract: Computer-implemented methods, systems and computer program products leveraging wireless communication networks to deliver content from a plurality of content sources to multiple users viewing different content on the same display device. Receiving devices connect to the display device and allow simultaneous and independent content viewing by establishing a connection to the display device, selecting the content to view from the plurality of content sources available and wirelessly transmitting audio and video frames of the selected content at a particular frequency to the receiving device tuned into the frequency of the process ID broadcasting the selected content. For example, smart glasses, AR devices or VR headsets. As the user views the display device through the receiving device, different users experience the different selected content overlaid or emulated onto the same display device without interfering or being able to view content simultaneously displayed to other users of the display device.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises determining potential risks associated with a building by analyzing images of the building; generating an interactive diagram that includes a visual representation of structures associated with the building that depicts the determined potential risks associated with the building; and creating a geo-fence surrounding the building upon the program determining potential risks.

Abstract: A method, a computer system, and a computer program product for an artificial intelligence (AI) based agribusiness logistics advisor is provided. Embodiments of the present invention may include receiving a first user data. Embodiments of the present invention may include collecting a second user data and external data. Embodiments of the present invention may include preparing and transforming the second user data and the external data. Embodiments of the present invention may include conducting a hypothesis on the transformed data. Embodiments of the present invention may include validating the transformed data. Embodiments of the present invention may include training an artificial intelligence (AI) model based on the transformed data. Embodiments of the present invention may include matching the first user data with the artificial intelligence (AI) model. Embodiments of the present invention may include ranking results based on the matching the first user data with the artificial intelligence (AI) model.

Abstract: A method, a computer system, and a computer program product for a multi-dimension artificial intelligence (AI) agriculture advisor is provided. Embodiments of the present invention may include creating a user profile. Embodiments of the present invention may include preparing and transforming the external data. Embodiments of the present invention may include conducting a hypothesis on the transformed data. Embodiments of the present invention may include validating the transformed data. Embodiments of the present invention may include training an artificial intelligence (AI) model based on the transformed data. Embodiments of the present invention may include validating and retraining the artificial intelligence (AI) model. Embodiments of the present invention may include matching the user data with the artificial intelligence (AI) model. Embodiments of the present invention may include ranking results based on the matching the user data with the artificial intelligence (AI) model.

Abstract: A method, computer system, and a computer program product for verifying the consistency of a current medical product is provided. The present invention may include generating a quantity associated with each of one or more active principles in the current medical product based on a plurality of current medical product data and a plurality of information from the data domains. The present invention may then include comparing the generated quantity associated with each of the one or more active principles in the current medical product with one or more constraints associated with a feasible solution associated with the current medical product. The present invention may further include determining a level of counterfeit risk based on the compared quantity associated with each of the one or more active principles in the current medical product with the one or more constraints from the feasible solution for the current medical product.

Abstract: Aspects automatically identify and minimize local populations of mosquitoes wherein processors are configured to assign different exposure risk values to different geographic locations as a function of determining different respective values of likelihood that each of the locations will experience a threshold exposure to mosquito activity, assign population risk values to the locations as a function of population data, filter a location from the plurality of locations to generate a filtered remainder set of the locations as a function of one or more one risk values of the exposure risk value and the population risk value failing to meet a minimum threshold value, rank the filtered remainder set of the geographic locations, and associate each of a plurality of mosquito activity abatement actions to each of the ranked filtered remainder set of the geographic locations.

Abstract: A system and method are provided for managing mobile device in a restricted area, which includes determining a length of time the mobile device remains in a predetermined area. The method includes incrementing a threat level by a first amount, wherein the first amount is calculated using a predictive model created with historical information derived from a management system. The method includes comparing usage of the mobile device with one or more existing models that describe a behavior of a regular user and a suspect user. The method includes incrementing the threat level by a second amount when usage matches a particular behavior. The method includes using a set of cognitive techniques to further assess potential behavior of a user. In response to determining the threat level associated with the mobile device exceeds a fourth threshold, the method includes initiating a predefined action.

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: Aspects automatically identify and minimize local populations of mosquitoes wherein processors are configured to assign different exposure risk values to different geographic locations as a function of determining different respective values of likelihood that each of the locations will experience a threshold exposure to mosquito activity, assign population risk values to the locations as a function of population data, filter a location from the plurality of locations to generate a filtered remainder set of the locations as a function of one or more one risk values of the exposure risk value and the population risk value failing to meet a minimum threshold value, rank the filtered remainder set of the geographic locations, and associate each of a plurality of mosquito activity abatement actions to each of the ranked filtered remainder set of the geographic locations.