Abstract: As disclosed herein a method, executed by a computer, for enabling a hybrid cloud environment includes using a secure bi-directional communication tunnel between a cloud environment and an on-premise environment to establish a secure bi-directional messaging framework, receiving, with the secure bi-directional messaging framework, a deployable on-premise package corresponding to a hybrid cloud application, and deploying, in a container, on an on-premise server, the deployable on-premise package, providing an on-premise application. The method further includes running the on-premise application on a restricted container environment. A computer program product and a computer system corresponding to the above method are also disclosed herein.

Abstract: A server and method for converting a textual data prompt embedded within a graphical user interface (GUI) to a widget. Parameters of a textual data prompt, which was previously received from a first computing device, are compared to additional parameters associated with widget. A first match and a second match between the parameters and the additional parameters associated with a first widget and a second widget, respectively, of the widgets is identified. In response to determining that a percentage of the first match exceeds a confidence threshold and a percentage of the second match fails to exceed the confidence threshold, the first widget embedded within the GUI on a second computing device is generated. A first response to the textual data prompt by a user associated with the second computing device is received. The first response is displayed as textual data embedded within the GUI of the first computing device.

Abstract: A console unit having a compartment door operatively incorporated therein, and within the upper part of the compartment or door, there is provided a storage receptacle for holding various different items, such as, for example, a book, a magazine, remote control devices, a wireless charging pad, a dock, or alternatively, the storage receptacle comprises at least one cup holder for holding a beverage container, and wherein further a motorized mechanism is provided within the console for moving the component, compartment, or door of the console unit between a first position at which the component, compartment, or door is CLOSED such that the storage receptacle or at least one cup holder is hidden within a forward section of the console unit, and a second position at which the component, compartment, or door is OPENED and projects forwardly and outwardly from the console unit such that the storage receptacle or the at least one cup holder is exposed and may in fact be utilized to hold various items, such as, for

Abstract: A single Internet of Things (IoT) gateway flow computer (either on a gateway machine or a non-gateway machine) that controls flow through both of the following types of gateways: (i) cloud gateways; and (ii) edge gateways. Both overall configuration and sub-configuration are automatically and dynamically controlled by the single, system-wide IoT gateway flow computer.

Abstract: An approach is provided that trains neural network by receiving data inputs to a cloud-based system from users, gathering a sets of responsive system data from the cloud-based system, and training the neural network by passing the received data inputs and corresponding sets of responsive data through the neural network. After the training is performed, the approach receives user actions from a user of the cloud-based system, inputs the user actions to the trained neural network and receives one or more predicted next user actions from the trained neural network. Based on the predicted next user actions, the approach then performs a proactive response at the cloud-based system.

Abstract: A computer-implemented method for diagnosing one or more malfunctions of one or more machines within a network. The method monitors the one or more machines within the network and identifies one or more machines that is broadcasting a malfunction message. The method further accesses a product manual for the identified one or more machines and diagnoses the one or more malfunctions of the identified one or more machines, based on a matching description of the malfunction message within the product manual. The method may further perform a diagnostic data collection on the identified one or more machines that is broadcasting a malfunction message and identify a fixing procedure based on the diagnosed one or more malfunctions. The method further communicates the fixing procedure, for the identified one or more machines that is broadcasting the malfunction message, to a user.

Abstract: A console unit having a compartment door operatively incorporated therein, and within the upper part of the compartment or door, there is provided a storage receptacle for holding various different items, such as, for example, a book, a magazine, remote control devices, a wireless charging pad, a dock, or alternatively, the storage receptacle comprises at least one cup holder for holding a beverage container, and wherein further a motorized mechanism is provided within the console for moving the component, compartment, or door of the console unit between a first position at which the component, compartment, or door is CLOSED such that the storage receptacle or at least one cup holder is hidden within a forward section of the console unit, and a second position at which the component, compartment, or door is OPENED and projects forwardly and outwardly from the console unit such that the storage receptacle or the at least one cup holder is exposed and may in fact be utilized to hold various items, such as, for

Abstract: The present invention relates generally to furniture, and more particularly to a chair, particularly a lounger chair, wherein at least one side arm portion of the chair is provided with a lower fixed arm segment, and an upper slidably movable arm segment. A storage receptacle for holding various devices, such as, for example, a book, magazine, remote control devices, a wireless charging pad, a dock, is fixedly secured within the lower fixed arm segment. Alternatively, the storage receptacle can comprise at least one cup holder for holding a beverage.

Abstract: In an approach for providing a framework to register a sensor module and manifest the capability the sensor module supports, a processor receives a first module registration request, wherein the first module registration request includes a sensor module and metadata. A processor determines that the first module registration request is compatible with a second module registration request by comparing data stored in a module database associated with the second module registration request to data within the first module registration request. A processor updates the module database with the metadata of the first module registration request. A processor generates a module delegate, wherein the module delegate provides data access and interaction interfaces based on the metadata. A processor generates a custom configuration component.

Abstract: A method including receiving a message at a source gateway of the local network, the message includes message data corresponding to a plurality of message elements, assigning a unique group ID based on the type of message received at the source gateway, extracting a message format from the received message, the message format defines how the message data is organized with respect to the message elements, and associating the extracted message format with the unique group ID. The method further including storing, locally, the extracted message format together with the associated unique group ID, establishing a dedicated connection between the source gateway and a target gateway of the remote network based on the unique group ID, encoding the message based on the extracted message format, and sending the encoded message from the source gateway to the target gateway across the dedicated connection.

Abstract: Enhancing a data query is provided. A knowledge base is searched for information corresponding to the data query. It is determined whether a query result is greater than a query result threshold level of information for the data query based on an identified query intent and keywords of the data query. In response to determining that the query result is not greater than the query result threshold level of information for the data query, a set of questions is sent to a personal digital agent of a client device that sent the data query for additional information based on the identified query intent and keywords. Analytic concepts answering the set of questions are received from analytic modules of the personal digital agent that are based on IoT-based personal data corresponding to a user of the client device. The data query is enhanced using the analytic concepts.

Abstract: A method including receiving a message at a source gateway of the local network, the message includes message data corresponding to a plurality of message elements, assigning a unique group ID based on the type of message received at the source gateway, extracting a message format from the received message, the message format defines how the message data is organized with respect to the message elements, and associating the extracted message format with the unique group ID. The method further including storing, locally, the extracted message format together with the associated unique group ID, establishing a dedicated connection between the source gateway and a target gateway of the remote network based on the unique group ID, encoding the message based on the extracted message format, and sending the encoded message from the source gateway to the target gateway across the dedicated connection.

Abstract: A method and system for improving an automated facial recognition software system is provided. The method includes automatically detecting a face of a user via an IOT device. An image of the face is retrieved and image portions are extracted from the image and represented as a vector. The user is classified via determined facial feature attributes with respect to a plurality of user type weights stored in a cache and an initial user type of the user is determined. The vector and data indicating the initial user type are transmitted to a server and a process for inferring with respect to the initial user type, the vector, and images in a specified database associated with the initial user type, a final user type of the user s performed.

Abstract: A method is provided to convert a textual data prompt embedded within a graphical user interface (GUI) to a widget. A textual prompt is parsed to identify parameters including a topic and an intent. An algorithm compares the parameters to additional parameters associated with widgets. When a percentage of a first match between the parameters and the additional parameters associated with a first widget exceeds a threshold, the first widget is embedded within the GUI on a second computing device. The first widget includes responses to the textual prompt. A size, a shape, and a color of the first widget mirrors the confidence threshold. When the first response is selected by a user, the first response is embedded and displayed within the GUI of the first computing device as textual data.

Abstract: A computer system including program instructions to receive a message at a source gateway of the local network, the message includes message data corresponding to a plurality of message elements, assign a unique group ID based on the type of message received at the source gateway, extract a message format from the received message, the message format defines how the message data is organized with respect to the message elements, and associate the extracted message format with the unique group ID. The computer system further including program instructions to store locally, the extracted message format together with the associated unique group ID, establish a dedicated connection between the source gateway and a target gateway of the remote network based on the unique group ID, encode the message based on the extracted message format, and send the encoded message from the source gateway to the target gateway across the dedicated connection.

Abstract: A computer system including program instructions to receive a message at a source gateway of the local network, the message includes message data corresponding to a plurality of message elements, assign a unique group ID based on the type of message received at the source gateway, extract a message format from the received message, the message format defines how the message data is organized with respect to the message elements, and associate the extracted message format with the unique group ID. The computer system further including program instructions to store locally, the extracted message format together with the associated unique group ID, establish a dedicated connection between the source gateway and a target gateway of the remote network based on the unique group ID, encode the message based on the extracted message format, and send the encoded message from the source gateway to the target gateway across the dedicated connection.

Abstract: An approach is provided to provide URLs based on a digital subject matter image (DSMI) received from a requestor. The approach identifies a set of classification labels pertaining to the DSMI and matches the set of classification labels against multiple sets of predefined labels with each of the sets of predefined labels corresponding to a URL. The matching results in a selected URL pertaining to the DSMI with this URL being returned to the requestor. In one embodiment, the approach is performed by a domain name system (DNS).

Abstract: A process for context-based autocompletion suggestion includes, based on initiating an online chat by a user of a computer system, the chat having as participants the user and a target participant, providing participant information that identifies the participants. The process maintains at the computer system a relation-based autocompletion model for use in word autocompletion suggesting. The maintained relation-based autocompletion model is initially a template model based on to relationship between chat participants, and is updated over time via training. The process suggests to the user words for autocompletion in the user's composition of chat messages, the suggested words being selected as suggestions based on the maintained relation-based autocompletion model. Maintaining the relation-based autocompletion model includes sending chat messages as training data to further train the autocompletion model.

Abstract: A method and system for improving an automated facial recognition software system is provided. The method includes automatically detecting a face of a user via an IOT device. An image of the face is retrieved and image portions are extracted from the image and represented as a vector. The user is classified via determined facial feature attributes with respect to a plurality of user type weights stored in a cache and an initial user type of the user is determined. The vector and data indicating the initial user type are transmitted to a server and a process for inferring with respect to the initial user type, the vector, and images in a specified database associated with the initial user type, a final user type of the user s performed. An identity of the user is determined based on the inferring and the identity is transmitted to the IOT device.

Abstract: An approach is provided for domain-specific chatbots that employ distributed natural language classifiers (NLCs). A NLC included in a first chatbot is executed, which generates a first intent of a question and a first confidence that the first intent is an actual intent of the question. Based on a determination that the first confidence does not exceed a threshold, the question is broadcasted to other chatbots. A second confidence that a second intent is an actual intent is received from a second chatbot in response to the broadcast, and is determined to exceed the threshold. An association among the question, the second chatbot, the second confidence, and the second intent is stored in a memory cache included in the first chatbot. A response to the question is generated based on the second intent. The response is presented to a user from the first chatbot.