Abstract: Disclosed herein are system, method, and computer program product embodiments for storing files in a storage location that is associated with an image object that is displayed in a real-time view on a mobile device. Examples of an image object include physical objects and augmented objects. Display of the real-time view includes the image object as well as interfaces for interacting with the image object including creating a storage location associated with the image object. Moreover, security features may be based on using information associated with the image object to securely store the file, either locally on the mobile device or over a network (e.g., at a cloud-based location) using the mobile device.

Abstract: A human challenge can be presented in an augmented reality user interface. A user can use a camera of a smart device to capture a video stream of the user's surroundings, and the smart device can superimpose a representation of an object on the image or video stream being captured by the smart device. The smart device can display in the user interface the image or video stream and the object superimposed thereon. The user will be prompted to perform a task with respect to one or more of these augmented reality objects displayed in the user interface. If the user properly performs the task, e.g., selects the correct augmented reality objects, the application will validate the user as a person.

Abstract: An exemplary process management server disclosed herein comprises a machine-learning model that may be trained to expose processes from a message stream in response to a training table. In one embodiment, one or more performance metrics of the exposed processes may be monitored to identify a process anomaly or other change in process performance, and to dynamically modify one or more process components in response thereto. Such an arrangement improves system performance, efficiency and resource utilization. For example, system performance may be improved by re-ordering process steps to minimize resource overlap. Efficiency and resource utilization may be improved by re-ordering process steps to maximize parallel processing and reduce lag times and bottlenecks.

Abstract: Systems and methods as described herein may include creating and monitoring workflows in a blockchain network. A workflow may be implemented by using a smart contract or the steps in the workflow may be recorded in a distributed ledger in a blockchain network. Completion of a workflow step may be verified by identifying a blockchain transaction executed by the workflow step performer assigned to the workflow step. The blockchain transaction is associated with encryption keys of the workflow step performer assigned to the workflow step. The completion of the execution of a workflow may be verified by determining whether the status of the last workflow step is complete, and identifying a blockchain transaction associated with encryption keys of the workflow step performer assigned to the last workflow step.

Abstract: Systems and methods as described herein may include creating and monitoring workflows in a blockchain network. A workflow may be implemented by using a smart contract or the steps in the workflow may be recorded in a distributed ledger in a blockchain network. Completion of a workflow step may be verified by identifying a blockchain transaction executed by the workflow step performer assigned to the workflow step. The blockchain transaction is associated with encryption keys of the workflow step performer assigned to the workflow step. The completion of the execution of a workflow may be verified by determining whether the status of the last workflow step is complete, and identifying a blockchain transaction associated with encryption keys of the workflow step performer assigned to the last workflow step.

Abstract: Systems, as described herein, may include authorizing message transmission from message producers to message consumers in a variety of systems. Smart contracts in blockchain networks may be used to authorize messages from message producers to be sent to the consumers. Distributed ledgers in the blockchain network may be used to store messages authorized by the smart contracts and records of events related to the messages.

Abstract: Systems and methods as described herein may include creating and monitoring workflows in a blockchain network. A workflow may be implemented by using a smart contract or the steps in the workflow may be recorded in a distributed ledger in a blockchain network. Completion of a workflow step may be verified by identifying a blockchain transaction executed by the workflow step performer assigned to the workflow step. The blockchain transaction is associated with encryption keys of the workflow step performer assigned to the workflow step. The completion of the execution of a workflow may be verified by determining whether the status of the last workflow step is complete, and identifying a blockchain transaction associated with encryption keys of the workflow step performer assigned to the last workflow step.

Abstract: A human challenge can be presented in an augmented reality user interface. A user can use a camera of a smart device to capture a video stream of the user's surroundings, and the smart device can superimpose a representation of an object on the image or video stream being captured by the smart device. The smart device can display in the user interface the image or video stream and the object superimposed thereon. The user will be prompted to perform a task with respect to one or more of these augmented reality objects displayed in the user interface. If the user properly performs the task, e.g., selects the correct augmented reality objects, the application will validate the user as a person.

Abstract: Disclosed herein are system, method, and computer program product embodiments for storing files in a storage location that is associated with an image object that is displayed in a real-time view on a mobile device. Examples of an image object include physical objects and augmented objects. Display of the real-time view includes the image object as well as interfaces for interacting with the image object including creating a storage location associated with the image object. Moreover, security features may be based on using information associated with the image object to securely store the file, either locally on the mobile device or over a network (e.g., at a cloud-based location) using the mobile device.

Abstract: A human challenge can be presented in an augmented reality user interface. A user can use a camera of a smart device to capture a video stream of the user's surroundings, and the smart device can superimpose a representation of an object on the image or video stream being captured by the smart device. The smart device can display in the user interface the image or video stream and the object superimposed thereon. The user will be prompted to perform a task with respect to one or more of these augmented reality objects displayed in the user interface. If the user properly performs the task, e.g., selects the correct augmented reality objects, the application will validate the user as a person.

Abstract: Disclosed herein are system, method, and computer program product embodiments for storing files in a storage location that is associated with an image object that is displayed in a real-time view on a mobile device. Examples of an image object include physical objects and augmented objects. Display of the real-time view includes the image object as well as interfaces for interacting with the image object including creating a storage location associated with the image object. Moreover, security features may be based on using information associated with the image object to securely store the file, either locally on the mobile device or over a network (e.g., at a cloud-based location) using the mobile device.

Abstract: A human challenge can be presented in an augmented reality user interface. A user can use a camera of a smart device to capture a video stream of the user's surroundings, and the smart device can superimpose a representation of an object on the image or video stream being captured by the smart device. The smart device can display in the user interface the image or video stream and the object superimposed thereon. The user will be prompted to perform a task with respect to one or more of these augmented reality objects displayed in the user interface. If the user properly performs the task, e.g., selects the correct augmented reality objects, the application will validate the user as a person.

Abstract: An exemplary process management server disclosed herein comprises a machine-learning model that may be trained to expose processes from a message stream in response to a training table. In one embodiment, one or more performance metrics of the exposed processes may be monitored to identify a process anomaly or other change in process performance, and to dynamically modify one or more process components in response thereto. Such an arrangement improves system performance, efficiency and resource utilization. For example, system performance may be improved by re-ordering process steps to minimize resource overlap. Efficiency and resource utilization may be improved by re-ordering process steps to maximize parallel processing and reduce lag times and bottlenecks.

Abstract: Systems and methods as described herein may include creating and monitoring workflows in a blockchain network. A workflow may be implemented by using a smart contract or the steps in the workflow may be recorded in a distributed ledger in a blockchain network. Completion of a workflow step may be verified by identifying a blockchain transaction executed by the workflow step performer assigned to the workflow step. The blockchain transaction is associated with encryption keys of the workflow step performer assigned to the workflow step. The completion of the execution of a workflow may be verified by determining whether the status of the last workflow step is complete, and identifying a blockchain transaction associated with encryption keys of the workflow step performer assigned to the last workflow step.

Abstract: An exemplary process management server disclosed herein comprises a machine-learning model that may be trained to expose processes from a message stream in response to a training table. In one embodiment, one or more performance metrics of the exposed processes may be monitored to identify a process anomaly or other change in process performance, and to dynamically modify one or more process components in response thereto. Such an arrangement improves system performance, efficiency and resource utilization. For example, system performance may be improved by re-ordering process steps to minimize resource overlap. Efficiency and resource utilization may be improved by re-ordering process steps to maximize parallel processing and reduce lag times and bottlenecks.