Abstract: The disclosure herein describes a system for calculating meeting inclusion metrics including insights and recommendations. Meeting data associated with one or more meetings attended by at least one participant remotely is converted into anonymized meeting data for inclusivity metric analysis. An inclusivity insights manager generates inclusivity metrics associated with inclusive behavior and language occurring during meetings to measure the level of inclusivity. The inclusivity metrics include attendee participation metrics measuring an amount of participation by each meeting attendee, participation in-person versus participation remotely, concurrent speech indicating attendees may be talking over one another or other interruptions occurring during meetings. Inclusivity metric data includes insights and actionable recommendations to improve inclusivity at future meetings provided at an individual level, group level or organizational level.

Abstract: Systems and methods for contextual memory capture and recall are provided. The contextual memory capture and recall systems and methods help a user create, store, and recall memory information associated with an identified activity. The contextual memory capture and recall systems and methods are capable of identifying user activities where a memory inquiry may be desirable, creating a memory inquiry with a recommended memory action based on the activity, providing the memory inquiry to the user, and automatically linking an accepted memory action, along with any received memory information for the memory action, with the identified activity.

Abstract: Techniques of contextual data analysis in distributed computing systems are disclosed herein. In one example, upon receiving operational data and attribute data representing attributes of multiple entities in the distributed computing system, a decision tree is generated based on the received operational and attribute data via machine learning. The decision tree has a root and multiple branches each representing a set of the attributes in the attribute data and a corresponding probability value representing a likelihood that one of the multiple components with the set of the attributes would be associated with an event in the distributed computing system. The multiple branches can then be parsed to identify a common subset of the attributes of the multiple components as most closely related to an occurrence of the event in the distributed computing system.

Abstract: The disclosure herein describes a system for calculating meeting inclusion metrics including insights and recommendations. Meeting data associated with one or more meetings attended by at least one participant remotely is converted into anonymized meeting data for inclusivity metric analysis. An inclusivity insights manager generates inclusivity metrics associated with inclusive behavior and language occurring during meetings to measure the level of inclusivity. The inclusivity metrics include attendee participation metrics measuring an amount of participation by each meeting attendee, participation in-person versus participation remotely, concurrent speech indicating attendees may be talking over one another or other interruptions occurring during meetings. Inclusivity metric data includes insights and actionable recommendations to improve inclusivity at future meetings provided at an individual level, group level or organizational level.

Abstract: The disclosure herein describes a system for calculating meeting inclusion metrics including insights and recommendations. Meeting data associated with one or more meetings attended by at least one participant remotely is converted into anonymized meeting data for inclusivity metric analysis. An inclusivity insights manager generates inclusivity metrics associated with inclusive behavior and language occurring during meetings to measure the level of inclusivity. The inclusivity metrics include attendee participation metrics measuring an amount of participation by each meeting attendee, participation in-person versus participation remotely, concurrent speech indicating attendees may be talking over one another or other interruptions occurring during meetings. Inclusivity metric data includes insights and actionable recommendations to improve inclusivity at future meetings provided at an individual level, group level or organizational level.

Abstract: The disclosure herein describes a system for calculating meeting inclusion metrics including insights and recommendations. Meeting data associated with one or more meetings attended by at least one participant remotely is converted into anonymized meeting data for inclusivity metric analysis. An inclusivity insights manager generates inclusivity metrics associated with inclusive behavior and language occurring during meetings to measure the level of inclusivity. The inclusivity metrics include attendee participation metrics measuring an amount of participation by each meeting attendee, participation in-person versus participation remotely, concurrent speech indicating attendees may be talking over one another or other interruptions occurring during meetings. Inclusivity metric data includes insights and actionable recommendations to improve inclusivity at future meetings provided at an individual level, group level or organizational level.

Abstract: Systems and methods for contextual memory capture and recall are provided. The contextual memory capture and recall systems and methods help a user create, store, and recall memory information associated with an identified activity. The contextual memory capture and recall systems and methods are capable of identifying user activities where a memory inquiry may be desirable, creating a memory inquiry with a recommended memory action based on the activity, providing the memory inquiry to the user, and automatically linking an accepted memory action, along with any received memory information for the memory action, with the identified activity.

Abstract: The systems and methods may provide users with an interactive way to form a definition of a business process and later use the business process definition to get a variety of metrics that quantify process cost for the specified process and help users understand how much collaboration happened for a specific process. The systems and methods may also provide capabilities to refine or streamline the business processes for efficiency.

Abstract: Systems and methods for contextual memory capture and recall are provided. The contextual memory capture and recall systems and methods help a user create, store, and recall memory information associated with an identified activity. The contextual memory capture and recall systems and methods are capable of identifying user activities where a memory inquiry may be desirable, creating a memory inquiry with a recommended memory action based on the activity, providing the memory inquiry to the user, and automatically linking an accepted memory action, along with any received memory information for the memory action, with the identified activity.

Abstract: A system and method for applying noise to data is described. The system accesses a metric value of a metric of each user from a group of users of an application. The metric indicates a measure of an operation of the application by a corresponding user. The system generates noise values and defines a distribution of the noise values to the group of users. The system modifies the metric value of the metric of each user with a corresponding noise value from the noise values based on the distribution.

Abstract: A system and method for determining enterprise metrics of an enterprise application is described. The system receives a root cause definition that identifies enterprise user metrics and predefined parameters for the enterprise user metrics. The enterprise user metrics identify operation metrics of the enterprise application by users of the enterprise. The system stores the root cause definition in a library of root causes definitions. The system receives a selection of a plan that identifies an operation attribute of the enterprise application. The system identifies a root cause from the library of root causes definitions based on the plan. The system generates a recommendation based on the identified root cause.

Abstract: A system and method for applying noise to data is described. The system accesses a metric value of a metric of each user from a group of users of an application. The metric indicates a measure of an operation of the application by a corresponding user. The system generates noise values and defines a distribution of the noise values to the group of users. The system modifies the metric value of the metric of each user with a corresponding noise value from the noise values based on the distribution.

Abstract: A system and method for configuring an application is described. A mapping definition defines a mapping between a first level attribute, a second level attribute, and a third level attribute of the application. The first level attribute indicates a goal of an operation of the application. The second level attribute indicates a factor that contributes to the goal. The third level attribute indicating a metric associated with the factor. The system accesses metrics that measure of operations of the application by a plurality of user accounts. A graphical user interface is generated for the first level attribute and displays the metric from the third level attribute that is mapped to the second level attribute for a set of user accounts from the plurality of user accounts based on the mapping definition. The system generates a configuration setting for the application of the set of user accounts based on the metric of the third level attribute.

Abstract: Systems and methods for identifying and verifying skills are provided. A network system accesses data from a plurality of data sources and extracts a plurality of skills from the accessed data for an individual. The network system then assigns a confidence score to each skill of the plurality of skills, whereby the confidence score is based on a heuristically-derived skill level for each skill. The network system generates a unified score for each skill by aggregating confidence scores for a same skill across the plurality of data sources. Based on the unified score for a particular skill exceeding a corresponding skill threshold, the network system identifies the particular skill as a verified skill of the individual and updates a data store with the verified skill of the individual. A further system may then be provided an indication of the verified skill of the individual.

Abstract: A system and method for determining enterprise metrics of an enterprise application is described. The system receives a root cause definition that identifies enterprise user metrics and predefined parameters for the enterprise user metrics. The enterprise user metrics identify operation metrics of the enterprise application by users of the enterprise. The system stores the root cause definition in a library of root causes definitions. The system receives a selection of a plan that identifies an operation attribute of the enterprise application. The system identifies a root cause from the library of root causes definitions based on the plan. The system generates a recommendation based on the identified root cause.

Abstract: Automated travel diary creation is provided. Various implicit and explicit signals are collected and shared with a trip content generation system, which operates to identify visits made by a user and details about trip associated visits, to generate sentences describing the visits based on a learned personal writing style of the user, and to order the generated sentences and form coherent paragraphs in combination with related images to generate an automatically curated, enriched, and personalized travel diary. The travel diary is displayed to the user in a graphical user interface. The user is enabled to edit the travel diary and to share the travel diary with other users.

Abstract: Automated travel diary creation is provided. Various implicit and explicit signals are collected and shared with a trip content generation system, which operates to identify visits made by a user and details about trip associated visits, to generate sentences describing the visits based on a learned personal writing style of the user, and to order the generated sentences and form coherent paragraphs in combination with related images to generate an automatically curated, enriched, and personalized travel diary. The travel diary is displayed to the user in a graphical user interface. The user is enabled to edit the travel diary and to share the travel diary with other users.

Abstract: Systems and methods for contextual memory capture and recall are provided. The contextual memory capture and recall systems and methods help a user create, store, and recall memory information associated with an identified activity. The contextual memory capture and recall systems and methods are capable of identifying user activities where a memory inquiry may be desirable, creating a memory inquiry with a recommended memory action based on the activity, providing the memory inquiry to the user, and automatically linking an accepted memory action, along with any received memory information for the memory action, with the identified activity.