Abstract: Provided are techniques for unified cognition for a virtual personal cognitive assistant. A personal cognitive agent creates an association with an entity and a personalized embodied cognition manager that includes an entity agent registry, wherein the personal cognitive agent comprises a virtual personal cognitive assistant. Selection of a first cognitive assistant agent from a first domain and a second cognitive assistant agent from a second domain are received. Input from the entity is received. A goal based on the input is identified. Unified cognition is provided by coordinating the first cognitive assistant agent of the first domain and the second cognitive assistant agent of the second domain to generate one or more actions to meet the goal. A response is provided to the input with an indication of the goal.

Abstract: Provided are techniques for unified cognition for a virtual personal cognitive assistant. Internet of Things (IoT) devices are coupled to a cognitive model, wherein the cognitive model includes a cognitive classifier, and wherein the cognitive classifier includes a cognitive dimension map and a recognition process. Input from one or more of the IoT devices is received. The cognitive dimension map is used to identify rules based on the input. The recognition process is used to identify events based on the rules. Then, the events are issued to one or more of the IoT devices, wherein the one or more IoT devices execute actions in response to the events.

Abstract: Provided are techniques for unified cognition for a virtual personal cognitive assistant. Internet of Things (IoT) devices are coupled to a cognitive model, wherein the cognitive model includes a cognitive classifier, and wherein the cognitive classifier includes a cognitive dimension map and a recognition process. Input from one or more of the IoT devices is received. The cognitive dimension map is used to identify rules based on the input. The recognition process is used to identify events based on the rules. Then, the events are issued to one or more of the IoT devices, wherein the one or more IoT devices execute actions in response to the events.

Abstract: Provided are techniques for unified cognition for a virtual personal cognitive assistant. A personal cognitive agent creates an association with an entity and a personalized embodied cognition manager that includes an entity agent registry, wherein the personal cognitive agent comprises a virtual personal cognitive assistant. Selection of a first cognitive assistant agent from a first domain and a second cognitive assistant agent from a second domain are received. Input from the entity is received. A goal based on the input is identified. Unified cognition is provided by coordinating the first cognitive assistant agent of the first domain and the second cognitive assistant agent of the second domain to generate one or more actions to meet the goal. A response is provided to the input with an indication of the goal.

Abstract: Embodiments for using a mixed internet of things (IoT) device network to improve user satisfaction by a processor. A collaboration of data associated with a user captured from a plurality of types of IoT devices in the IoT network may be gathered. The collaboration of data may be used to determine a level of satisfaction of the user according to a knowledge domain describing a plurality of satisfaction factors and levels in the service based industry such that the collaboration of data is associated with one or more of the plurality of satisfaction factors and levels.

Abstract: Provided are techniques for unified cognition for a virtual personal cognitive assistant. A personal cognitive agent creates an association with an entity and a personalized embodied cognition manager that includes an object instance registry, wherein the object instance registry stores embodied cognition object instances. A cognitive assistant agent for a domain that is associated with the embodied cognition object instances stored in the object instance registry is provided. Input is received from the entity for a first object instance and for a second object instance of the embodied cognition object instances. Interaction is coordinated between the cognitive assistant agent, the first object instance, and the second object instance by: identifying a goal based on the input and providing the first object instance and the second object instance with instructions to meet the goal based on the input. A response is provided to the input with an indication of the goal.

Abstract: Provided are techniques for unified cognition for a virtual personal cognitive assistant. A personal cognitive agent creates an association with an entity and a personalized embodied cognition manager that includes an object instance registry, wherein the object instance registry stores embodied cognition object instances. A cognitive assistant agent for a domain that is associated with the embodied cognition object instances stored in the object instance registry is provided. Input is received from the entity for a first object instance and for a second object instance of the embodied cognition object instances. Interaction is coordinated between the cognitive assistant agent, the first object instance, and the second object instance by: identifying a goal based on the input and providing the first object instance and the second object instance with instructions to meet the goal based on the input. A response is provided to the input with an indication of the goal.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: Provided are techniques for authenticating a device. Accepted communication patterns representing accepted modes of communication between devices in an internet of things network are stored. In response to receiving a new communication from a requesting device of the devices, it is determined whether the new communication matches at least one of the accepted communication patterns. In response to determining that the new communication matches, there is a response to the new communication. In response to determining that the new communication does not match, flagging the new communication as an anomaly and determining how to process the new communication based on the flagging.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for logically grouping Internet of Things (IoT) devices. One or more logical zones are defined. Each logical zone includes one or more physical zones, one or more virtual zones, or a combination of physical and virtual zones. Each IoT device is associated with at least one logical zone. Communication between the IoT devices is restricted based on the zones with which the IoT devices are associated.

Abstract: Methods for logically grouping Internet of Things (IoT) devices are described. One or more logical zones are defined. Each logical zone includes one or more physical zones, one or more virtual zones, or a combination of physical and virtual zones. Each IoT device is associated with at least one logical zone. Communication between the IoT devices is restricted based on the zones with which the IoT devices are associated.

Abstract: A method and system are provided for interactive data visualization. The method includes dynamically determining, responsive to a user request directed to at least one of default categories identified by analyzing a data source used with an initial user query, pre-set values for categorical portions and numerical portions of vocabularies for user selection using data analytics on the data source. The method also includes providing the user with a capability to specify other values for the portions. The method additionally includes dynamically generating multiple sub-queries to the data source for the pre-set values and at least one of the other values specified by the user for the portions. The method further includes generating a data visualization of combined result sets for the multiple sub-queries and displaying the data visualization.

Abstract: A method for generating an SMS business message for processing by a software application includes: a data collection interface accepting outgoing instructions and outgoing data from said software application; a message encoding engine encoding said outgoing instructions and outgoing data from said software application; using an encoding template to generate the SMS business message as a categorized SMS message formatted for processing by a data processing system; and a dispatcher runtime processor processing said SMS business message for transmission over a network to a recipient.

Abstract: A method for implementing a graphical modeling tool in a web-based environment is disclosed herein. In one embodiment, such a method may include enabling a user to import, into a web-based environment, a domain meta model comprising a number of meta model elements. The method may further enable the user to associate the meta model elements with graphical representations in the web-based environment, thereby allowing the user to create palette elements. The user may then assemble the palette elements on a canvas to create a diagram. This diagram may be converted into an instance of the domain meta model. This instance may be validated for conformance with the rules and constraints associated with the domain meta model. A corresponding apparatus and computer program product are also disclosed and claimed herein.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: Provided are techniques for authenticating a device. Accepted communication patterns representing accepted modes of communication between devices in an internet of things network are stored. In response to receiving a new communication from a requesting device of the devices, it is determined whether the new communication matches at least one of the accepted communication patterns. In response to determining that the new communication matches, there is a response to the new communication. In response to determining that the new communication does not match, flagging the new communication as an anomaly and determining how to process the new communication based on the flagging.

Abstract: Mechanisms are provided for providing a private consolidated cloud service architecture. The mechanisms operate to implement a private consolidated cloud service (PCCS) engine. The PCCS engine generates a private consolidated cloud (PCC) for a consumer based on one or more PCC characteristics specified by a request from the consumer. The PCCS engine also generates, in the PCC, for each of a plurality of public cloud services, a private instance of the public cloud service in the PCC. The PCC receives, from a consumer device, a request for processing of consumer private data by a specified private instance of a public cloud service in the PCC. The private instance of the public cloud service in the PCC performs the requested processing of consumer private data within the PCC without exposing the consumer private data outside the PCC. The PCC provides results of the requested processing to one of the consumer device or the public cloud service.

Abstract: Provided are techniques for authenticating a device. Accepted communication patterns representing accepted modes of communication between devices in an internet of things network are stored. In response to receiving a new communication from a requesting device of the devices, it is determined whether the new communication matches at least one of the accepted communication patterns. In response to determining that the new communication matches, there is a response to the new communication. In response to determining that the new communication does not match, flagging the new communication as an anomaly and determining how to process the new communication based on the flagging.