Abstract: In various embodiments a computer-implemented method for launching a task associated with a content production pipeline in a non-native computing environment is disclosed. The method includes publishing user code associated with a task included in a content creation pipeline. The method further includes packaging the user code separately for each of a plurality of computing environments, where each code package enables the user code to execute within a respective computing environment. Further, the method includes storing artifact locations associated with the user code for each of the plurality of computing environments in a task registry. Responsive to the task being selected for execution, the method includes determining, based on a set of rules, a computing environment from the plurality of computing environments in which to execute the task. Additionally, the method includes launching the computing environment in accordance with the rules and executing the task in the computing environment.

Abstract: In various embodiments a computer-implemented method for launching a task associated with a content production pipeline in a non-native computing environment is disclosed. The method includes publishing user code associated with a task included in a content creation pipeline. The method further includes packaging the user code separately for each of a plurality of computing environments, where each code package enables the user code to execute within a respective computing environment. Further, the method includes storing artifact locations associated with the user code for each of the plurality of computing environments in a task registry. Responsive to the task being selected for execution, the method includes determining, based on a set of rules, a computing environment from the plurality of computing environments in which to execute the task. Additionally, the method includes launching the computing environment in accordance with the rules and executing the task in the computing environment.

Abstract: Disclosed herein are system, method, and computer program product embodiments for tracking shop information using blockchain. In an embodiment, a shop application system may gather information related to a shop using various sensors within the shop. For example, the shop application system may identify a flow rate of traffic within the shop or outside of the shop. The shop application system may securely transmit this information to a blockchain cloud platform to be stored onto a blockchain. The blockchain may also maintain store information from a client application system related to shop ownership or tenancy. In this manner, the blockchain may provide a public means for accessing transactions related to a shop as well as provide confidence in the information provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.

Abstract: Disclosed herein are system, method, and computer program product embodiments for tracking shop information using blockchain. In an embodiment, a shop application system may gather information related to a shop using various sensors within the shop. For example, the shop application system may identify a flow rate of traffic within the shop or outside of the shop. The shop application system may securely transmit this information to a blockchain cloud platform to be stored onto a blockchain. The blockchain may also maintain store information from a client application system related to shop ownership or tenancy. In this manner, the blockchain may provide a public means for accessing transactions related to a shop as well as provide confidence in the information provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.