Described herein is a method for creating and utilizing device navigational maps. The device navigational maps are modeled using directed graphs that contain detailed information of all components on the connected devices. An application systematically scans through the entire connected device and builds a detailed data model of the connected device, which is used as the navigational map.

A system, method and computer program product are disclosed for integrating a user interface of external or foreign applications, running on second physical machines, into a user interface of a first application running on a first physical machine. In an embodiment, the generated integrated user interface is displayed on a monitor of the first physical machine. The applications refer to MR-scanning and post-processing applications. The user is only working with one single, common and integrated user interface although he controls two different sets of applications on different machines.

A user activity pattern may be ascertained using signal data from a set of computing devices. The activity pattern may be used to infer user intent with regards to a user interaction with a computing device or to predict a likely future action by the user. In one implementation, a set of computing devices is monitored to detect user activities using sensors associated with the computing devices. Activity features associated with the detected user activities are determined and used to identify an activity pattern based on a plurality of user activities having similar features. Examples of user activity patterns may include patterns based on time, location, content, or other context. The inferred user intent or predicted future actions may be used to provide improved user experiences, such as personalization, modifying functionality of user devices, or providing more efficient consumption of bandwidth or power.

An application preloading method and apparatus, and a prediction model generation method and apparatus are described. Application preloading may include obtaining application usage state information of a terminal and contextual information of the terminal; inputting the obtained application usage state information and contextual information into a pre-generated prediction model that is configured for predicting application startup and for calculating at least one prediction value for the application startup; determining an application to be started according to the at least one prediction value, and preloading the application to be started. The prediction model may be pre-generated according to usage association information of applications within a predetermined time period and contextual information of the terminal corresponding to the usage association information.

In one embodiment, a method includes receiving a sharing request to share content generated during a current dialog session from a client system associated with a first user, identifying one or more content objects associated with the sharing request based on a natural-language understanding module, wherein the one or more content objects were previously generated during the current dialog session, determining one or more second users the sharing request is directed to based on a user profile associated with first user, and sending instructions for accessing one or more of the identified content objects to one or more client systems associated with the one or more second users.

Methods and devices for usage profile based remote firmware upgrades for fire alarm system gateways are described herein. A method, includes creating a firmware upgrade package for a number of gateways of a number of fire alarm systems wherein each gateway has gateway operating firmware, panel connectivity firmware, and management firmware and wherein the firmware upgrade package has multiple parts, creating a firmware upgrade profile having information indicating the applicability of each of the multiple parts of the firmware upgrade package to one of the gateway operating firmware, panel connectivity firmware, and management firmware, comparing the firmware upgrade profile to a gateway usage profile of a particular gateway wherein the gateway usage profile contains information indicating usage characteristics for the gateway operating firmware, panel connectivity firmware, and management firmware, and selecting one or more of the multiple parts of the firmware upgrade package to download.

A system for determining a software package for deployment based on a user request receives a request from the user to access software packages to perform a particular task. The system determines particular software packages for the user, based on an experience level of the user in performing the particular task. The system determines whether a security vulnerability is associated with the determined software packages by scanning the source code of the determined software package and searching for instances where a code portion includes open ports vulnerable to unauthorized access. If it is determined that no security vulnerability is associated with the determined software packages, the system deploys the determined software packages to a computing device from which the user sent the request.

The present disclosure describes automated generation of early warning predictive insights derived from contextual analysis of user activity data of a distributed software platform. Predictive insights are automatically generated from analysis of user activity through implementation of trained artificial intelligence (AI) modeling. User activity data is accessed pertaining to user interactions by a plurality of users a software data platform. The trained AI modeling generates a plurality of mobility determinations that identify changes in patterns of user behavior over a current temporal filter associated with the user activity data. The plurality of mobility determinations is curated using business logic rules that evaluate a relevance of the mobility determinations. One or more predictive insights may be generated and presented via a graphical user interface notification. Exemplary notifications help provides insights into how user behavior has changed and why that is, thereby fostering understanding of predictions that can lead to actionable results.

Techniques are provided for recommending hardware configuration changes using a user satisfaction rating. One method comprises obtaining usage data indicating user activity for users on computing devices; generating a user profile for each user; clustering the users into user clusters based on the user profiles; determining, for a given user cluster, a satisfaction score for each user in the given user cluster based on the obtained usage data for each user on the computing device; providing suggested hardware upgrades for the computing device of a given user in the given user cluster, wherein the given user is selected based on a lower corresponding satisfaction score relative to the satisfaction scores of other users in the given cluster, and wherein the one or more suggested hardware upgrades are based on hardware configurations of other users in the given cluster having a higher corresponding satisfaction score.

An electronic device having a customizable interface includes a processor configured to execute instructions and a display device configured to generate an interface based in part in response to the processor. The electronic device further includes a touch screen associated with the display device and configured to sense a user input with respect to a plurality of objects, wherein the input is provided to the processor. The processor further configured to determine at least one of a physical aspect of the user input and a frequency of an interaction with each of the plurality objects displayed on the touch screen. The processor further configured to modify a manner in which the plurality objects are displayed on the display device based on the determination of at least one of the physical aspects of the user input and the frequency of interaction with the plurality of objects.