Abstract: Aspects of the subject disclosure may include, for example virtual assistants that allow communications with non-human entities. A virtual assistant associated with a non-human entity may communicate directly with a human user or may communicate with a second virtual assistant associated with the user. Example non-human entities include animals, toys, and connected devices. Other embodiments are disclosed.

Abstract: Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, which is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

Abstract: A server may assign human personality traits to inanimate objects. In an example, a server may effectuate operations that include obtaining information about an object over a period; comparing the information to usage factors, interaction factors, or environmental factors that are linked to thresholds for a personality; based on the comparing, assigning the personality to the object; and based on the personality of the object, assigning an avatar to the object.

Abstract: A method may include a processing system detecting a biometric condition of a user exceeding a threshold, determining a triggering object associated with the biometric condition, where the triggering object is captured via a camera, and applying the triggering object and at least one personal parameter to a plurality of context filters. The plurality of context filters may provide a relevance topic based upon the triggering object and the at least one personal parameter. The processing system may further generate a plurality of search terms based upon the relevance topics that are determined from the plurality of context filters and present the plurality of search terms via a user interface.

Abstract: Edge node networks can be utilized to facilitate predictive access to content for a wide variety of applications. For example, predictive data can be generated based on historical patterns, audio data, calendar invites, etc. The predictive data can include predicted locations, persons present based on usage of their mobile device, edge node and access point usage, etc. The predicted data can be used to facilitate more efficient access to content by proactively sending mobile application and/or content usage data to edge node equipment that is predicted to be used in accordance with a predicted a predicted event. Furthermore, the predictive analysis can be used to modify mobile screens for quicker access to content and/or mobile applications.

Abstract: Aspects of the subject disclosure may include, for example, storing, in a database, information associated with a first item purchased by a user, the information comprising an identification of the first item and a time of purchase of the first item; receiving web browsing data based upon monitoring, by another device, web browsing of the user; determining, based upon the web browsing data that is received, whether the user is currently browsing at a shopping website, resulting in a determination; responsive to the determination being that the user is currently browsing at the shopping website, querying the database to determine an elapsed time since the time of purchase of the first item; responsive to the elapsed time meeting a threshold, generating a message to send to the another device monitoring the web browsing, the message informing the user of a suggested second item for the buyer to purchase, the suggested second item being a replacement for the first item; and sending the message to the another dev

Abstract: Methods, systems, and apparatuses may be used to create a property archivist that can enable automated customer service, in which an electronic inventory may be automatically generated and used to assist in resolving customer service needs. In an example, an apparatus may include a processor and a memory coupled with the processor that effectuates operations. The operations may include detecting a product; based on the detection, adding the product to a property archive, wherein the property archive comprises a profile for plurality of products at a location; obtaining an indication of a problem with the product; based on the detected problem, initiating a service request for the product; automatically diagnosing the problem to determine a resolution; and based on the determined resolution, automatically purchasing a part of the product and shipping the part for the product to a location of the product.

Abstract: Sensors may detect a user's locations and interest level of a product. Based on the interest level, messages may be sent to a server in order to obtain information, such as location, about a category of products and further display the obtained information to a mobile device.

Abstract: Communications services are provided to a device. For instance, where a communications resource is being used by a device via a first communications service provider (CSP) component associated with a first CSP, based on a probabilistic analysis of loading parameters received from a device at the first CSP component. A likelihood that the device will move can be predicted, comprising determining the likelihood is not less than a threshold likelihood. If likely to move, and based on the loading parameters, a loading profile associated with a user of the device is updated resulting in updated likelihoods of usages of the communication resource by the device via respective other CSP components other than the first CSP component. Further, based on the updated likelihoods of usages of the communication resource, at least part of the communications resource can be allocated to the respective other CSP components to facilitate communications with the device.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data from a plurality of sensors at a first point in time, analyzing the data to identify a first level of alertness of a user, predicting a second level of alertness that is required by the user to operate a machine at a second point in time that is subsequent to the first point in time, comparing the first level of alertness to the second level of alertness to generate a first comparison result, identifying a first type of a first notification based on the first comparison result, identifying a third point in time to provide the first notification based on the first comparison result, wherein the third point in time is subsequent to the first point in time and prior to the second point in time, and providing the first notification at the third point in time. Other embodiments are disclosed.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system obtains physical and social environmental data for a communication device user, and provides content for presentation at the device. First reaction data, obtained via sensors associated with the user, indicate the user's reaction to presentation of the content; the data is analyzed to determine user affinity for the content in a context of the physical and social environments. The content is modified during the presentation; second reaction data is obtained and analyzed to determine a second user affinity for the modified content. If the affinity is enhanced, the modified content is sent to other users' equipment via a social network. Affinity responses regarding the modified content are analyzed, and a set of users is identified as an affinity group; additional content is transmitted to equipment of the affinity group. Other embodiments are disclosed.

Abstract: Edge node networks can be utilized to facilitate predictive access to content for a wide variety of applications. For example, predictive data can be generated based on historical patterns, audio data, calendar invites, etc. The predictive data can include predicted locations, persons present based on usage of their mobile device, edge node and access point usage, etc. The predicted data can be used to facilitate more efficient access to content by proactively sending mobile application and/or content usage data to edge node equipment that is predicted to be used in accordance with a predicted a predicted event. Furthermore, the predictive analysis can be used to modify mobile screens for quicker access to content and/or mobile applications.

Abstract: Aspects of the subject disclosure may include, for example, a virtual assistant that includes a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of creating a normalized profile for a user of the virtual assistant device; identifying an anomaly deviating from the normalized profile over a threshold time period during use of the virtual assistant device; and changing an interface of the virtual assistant device to accommodate the identified anomaly. Other embodiments are disclosed.

Abstract: A network device includes a processor and a memory. The processor effectuates operations including instantiating an edge share orchestrator that identifies edge devices including a customer device. Edge share orchestrator also determines that the customer device lacks computing power or functionality to perform at least a portion of an existing or augmented service and identifies at least one additional device of the edge devices capable of providing additional computing power or functionality for performing the at least a portion of the existing service or augmented service associated with the customer device. Edge share orchestrator also meshes the additional computing power or functionality of the at least one additional device with the customer device and performs the at least a portion of the existing or augmented service associated with the customer device using the meshed additional computing power or functionality of the at least one additional device and the customer device.

Abstract: Aspects of the subject disclosure may include, for example, storing, in a database, information associated with a first item purchased by a user, the information comprising an identification of the first item and a time of purchase of the first item; receiving web browsing data based upon monitoring, by another device, web browsing of the user; determining, based upon the web browsing data that is received, whether the user is currently browsing at a shopping website, resulting in a determination; responsive to the determination being that the user is currently browsing at the shopping website, querying the database to determine an elapsed time since the time of purchase of the first item; responsive to the elapsed time meeting a threshold, generating a message to send to the another device monitoring the web browsing, the message informing the user of a suggested second item for the buyer to purchase, the suggested second item being a replacement for the first item; and sending the message to the another dev

Abstract: A server may assign human personality traits to inanimate objects. In an example, a server may effectuate operations that include obtaining information about an object over a period; comparing the information to usage factors, interaction factors, or environmental factors that are linked to thresholds for a personality; based on the comparing, assigning the personality to the object; and based on the personality of the object, assigning an avatar to the object.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of collective commonalities among users located within an environment. Once determined, a number of features may be further described for management of interactions within the environment.

Abstract: Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, that is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for presenting a group of advertisements within media content by a software application on a display communicatively coupled to the communication device resulting in a presentation of the group of advertisements, and operating a virtual assistant application simultaneously with the software application. Further embodiments include detecting voice input from a user associated with the communication device using a voice recognition technique utilized by the virtual assistant application, identifying first user data based on the voice input associated with a group of advertising entities associated with the group of advertisements, and obtaining information regarding the group of advertising entities based on the first user data. Additional embodiments include determining a group of recommended actions according to the information regarding the group of advertising entities, and providing the user with the group of recommended actions.