Abstract: A server device configured to execute an electronic data analysis platform program to store a plurality of modular data processing tools, each modular data processing tool configured to perform data processing with predetermined data types and to combine with other modular data processing tools in a data analysis pipeline, receive a user input of one or more user data sources, map the data of the one or more user data sources to one or more of the predetermined data types, determine a data analytic goal for the mapped one or more user data sources, select one or more modular data processing tools configured to process the one or more predetermined data types mapped to data of the mapped one or more user data sources to generate the data analytic goal, and generate a data analysis pipeline configured to generate the data analytic goal.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. While the personal daemon maintains personal information corresponding to the associated user, the personal daemon is configured to not share the personal information of the associated user with any other entity other than the associated user except under conditions of rules established by the associated user. The personal daemon monitors and analyzes the actions of the associated user to determine additional personal information of the associated user. Additionally, upon receiving one or more notices of events from a plurality of sensors associated with the mobile computing device, the personal daemon executes a personal assistance action on behalf of the associated user.

Abstract: A server device configured to execute an electronic data analysis platform program to store a plurality of modular data processing tools, each modular data processing tool configured to perform data processing with predetermined data types and to combine with other modular data processing tools in a data analysis pipeline, receive a user input of one or more user data sources, map the data of the one or more user data sources to one or more of the predetermined data types, determine a data analytic goal for the mapped one or more user data sources, select one or more modular data processing tools configured to process the one or more predetermined data types mapped to data of the mapped one or more user data sources to generate the data analytic goal, and generate a data analysis pipeline configured to generate the data analytic goal.

Abstract: Systems and methods for providing client-side integration of apps and services is provided. An integration framework execution upon a computing device provides integration of various apps, applications, services, sensors and the like. Upon receiving a request for a service, the integration framework accesses a registry of a plurality of services of a respective plurality of providers registered with the integration framework. Each of the services is registered with the integration framework is associated with a trust level of a hierarchy of trust levels. The integration framework iteratively searches the registry for a provider of the requested service according to the hierarchy of trust levels, beginning with the most trusted level of the trust levels to the less trusted trust level until a provider of the requested service is found or until all levels of the hierarchy are searched without finding a provider of the requested service.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. Also executing on the mobile computing device is a scheduling manager. The personal daemon executes one or more personal assistance actions on behalf of the associated user. The scheduling manager responds to events in support of the personal daemon. More particularly, in response to receiving an event the scheduling manager determines a set of apps that are responsive to the received event and from that set of apps, identifies at least a first subset of apps for execution on the mobile computing device. The scheduling manager receives feedback information regarding the usefulness of the executed apps of the first subset of apps and updates the associated score of each of the apps of the first subset of apps.

Abstract: Systems and methods for providing client-side integration of apps and services is provided. An integration framework execution upon a computing device provides integration of various apps, applications, services, sensors and the like. Upon receiving a request for a service, the integration framework accesses a registry of a plurality of services of a respective plurality of providers registered with the integration framework. Each of the services is registered with the integration framework is associated with a trust level of a hierarchy of trust levels. The integration framework iteratively searches the registry for a provider of the requested service according to the hierarchy of trust levels, beginning with the most trusted level of the trust levels to the less trusted trust level until a provider of the requested service is found or until all levels of the hierarchy are searched without finding a provider of the requested service.

Abstract: Systems and methods for providing client-side integration of apps and services is provided. An integration framework execution upon a computing device provides integration of various apps, applications, services, sensors and the like. Upon receiving a request for a service, the integration framework accesses a registry of a plurality of services of a respective plurality of providers registered with the integration framework. Each of the services is registered with the integration framework is associated with a trust level of a hierarchy of trust levels. The integration framework iteratively searches the registry for a provider of the requested service according to the hierarchy of trust levels, beginning with the most trusted level of the trust levels to the less trusted trust level until a provider of the requested service is found or until all levels of the hierarchy are searched without finding a provider of the requested service.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. While the personal daemon maintains personal information corresponding to the associated user, the personal daemon is configured to not share the personal information of the associated user with any other entity other than the associated user except under conditions of rules established by the associated user. The personal daemon monitors and analyzes the actions of the associated user to determine additional personal information of the associated user. Additionally, upon receiving one or more notices of events from a plurality of sensors associated with the mobile computing device, the personal daemon executes a personal assistance action on behalf of the associated user.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. While the personal daemon maintains personal information corresponding to the associated user, the personal daemon is configured to not share the personal information of the associated user with any other entity other than the associated user except under conditions of rules established by the associated user. The personal daemon monitors and analyzes the actions of the associated user to determine additional personal information of the associated user. Additionally, upon receiving one or more notices of events from a plurality of sensors associated with the mobile computing device, the personal daemon executes a personal assistance action on behalf of the associated user.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. Also executing on the mobile computing device is a scheduling manager. The personal daemon executes one or more personal assistance actions on behalf of the associated user. The scheduling manager responds to events in support of the personal daemon. More particularly, in response to receiving an event the scheduling manager determines a set of apps that are responsive to the received event and from that set of apps, identifies at least a first subset of apps for execution on the mobile computing device. The scheduling manager receives feedback information regarding the usefulness of the executed apps of the first subset of apps and updates the associated score of each of the apps of the first subset of apps.

Abstract: Systems and methods of a personal daemon, executing as a process on a mobile computing device, for providing personal assistant to an associated user is presented. While the personal daemon maintains personal information corresponding to the associated user, the personal daemon is configured to not share the personal information of the associated user with any other entity other than the associated user except under conditions of rules established by the associated user. One such condition is when encountering the presence of another personal daemon associated with another user. Upon encountering the other personal daemon, an iterative process of escalating discover and/or disclosure is commenced to determine whether the associated user of the personal daemon would be interested in engaging with the user associated with the other personal daemon.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. Also executing on the mobile computing device is a scheduling manager. The personal daemon executes one or more personal assistance actions on behalf of the associated user. The scheduling manager responds to events in support of the personal daemon. More particularly, in response to receiving an event the scheduling manager determines a set of apps that are responsive to the received event and from that set of apps, identifies at least a first subset of apps for execution on the mobile computing device. The scheduling manager receives feedback information regarding the usefulness of the executed apps of the first subset of apps and updates the associated score of each of the apps of the first subset of apps.

Abstract: Systems and methods for providing client-side integration of apps and services is provided. An integration framework execution upon a computing device provides integration of various apps, applications, services, sensors and the like. Upon receiving a request for a service, the integration framework accesses a registry of a plurality of services of a respective plurality of providers registered with the integration framework. Each of the services is registered with the integration framework is associated with a trust level of a hierarchy of trust levels. The integration framework iteratively searches the registry for a provider of the requested service according to the hierarchy of trust levels, beginning with the most trusted level of the trust levels to the less trusted trust level until a provider of the requested service is found or until all levels of the hierarchy are searched without finding a provider of the requested service.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. While the personal daemon maintains personal information corresponding to the associated user, the personal daemon is configured to not share the personal information of the associated user with any other entity other than the associated user except under conditions of rules established by the associated user. The personal daemon monitors and analyzes the actions of the associated user to determine additional personal information of the associated user. Additionally, upon receiving one or more notices of events from a plurality of sensors associated with the mobile computing device, the personal daemon executes a personal assistance action on behalf of the associated user.

Abstract: Systems and methods of a personal daemon, executing as a background process on a mobile computing device, for providing personal assistant to an associated user is presented. Also executing on the mobile computing device is a scheduling manager. The personal daemon executes one or more personal assistance actions on behalf of the associated user. The scheduling manager responds to events in support of the personal daemon. More particularly, in response to receiving an event the scheduling manager determines a set of apps that are responsive to the received event and from that set of apps, identifies at least a first subset of apps for execution on the mobile computing device. The scheduling manager receives feedback information regarding the usefulness of the executed apps of the first subset of apps and updates the associated score of each of the apps of the first subset of apps.