Abstract: Systems and methods are provided for training a machine learning model using a plurality of data related to a product and services support system to determine a plurality of parameters to be used to search for one or more results for an input stream and storing the plurality of parameters in one or more databases. Systems and methods further provide for receiving an input stream from a user computing device, parsing the input stream to generate a parsed input stream, translating the parsed input stream into one or more of the plurality of parameters output from the machine learning model to generate a search string, searching a knowledge base using the search string to determine one or more results associated with the parsed input stream, and providing at least one result of the one or more results associated with the parsed input stream to the user computing device.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating an influence rank for users within an enterprise community based on a social graph and utilizing the influence rank to customize the user experience in the enterprise community. An influence rank for a user of the enterprise community may be determined based on building a social graph representing the user's interactions within the enterprise community and analyzing the social graph. Communications may be then redirected within the enterprise community based on the determined influence rank.

Abstract: Systems and methods are provided for training a machine learning model using a plurality of data related to a product and services support system to determine a plurality of parameters to be used to search for one or more results for an input stream and storing the plurality of parameters in one or more databases. Systems and methods further provide for receiving an input stream from a user computing device, parsing the input stream to generate a parsed input stream, translating the parsed input stream into one or more of the plurality of parameters output from the machine learning model to generate a search string, searching a knowledge base using the search string to determine one or more results associated with the parsed input stream, and providing at least one result of the one or more results associated with the parsed input stream to the user computing device.

Abstract: Systems and methods are provided for receiving input for a message, including a comment from a user, in a first zone of a message area of a graphical user interface of a first interface, the graphical user interface comprising the message area comprising the first zone to allow the user to enter a comment and a second zone to allow the user to insert item details by accessing an item list generated from a database. The systems and method further providing for detecting input in the comment from the user indicating a request for an item list associated with the input, accessing the database to generate the item list based on the input entered by the user wherein the item list is displayed to the user, detecting a selected item in the item list displayed to the user, generating item details associated with the selected item wherein the item details are inserted in the second zone of the message area of the graphical user interface.

Abstract: Systems and methods are provided for training a machine learning model using a plurality of data related to a product and services support system to determine a plurality of parameters to be used to search for one or more results for an input stream and storing the plurality of parameters in one or more databases. Systems and methods further provide for receiving an input stream from a user computing device, parsing the input stream to generate a parsed input stream, translating the parsed input stream into one or more of the plurality of parameters output from the machine learning model to generate a search string, searching a knowledge base using the search string to determine one or more results associated with the parsed input stream, and providing at least one result of the one or more results associated with the parsed input stream to the user computing device.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating an influence rank for users within an enterprise community based on a social graph and utilizing the influence rank to customize the user experience in the enterprise community. An influence rank for a user of the enterprise community may be determined based on building a social graph representing the user's interactions within the enterprise community and analyzing the social graph. Communications may be then redirected within the enterprise community based on the determined influence rank.

Abstract: Systems and methods are described herein for receiving, by a server computer associated with a cloud-based application, a request via a network from a requesting device associated with an on-premise application, for at least one feature associated with an application service provided by the cloud-based application, the request including a requester identifier and a requested feature identifier, determining, by the server computer associated with the cloud-based application, a version identifier for the request based on the requester identifier, accessing, by the server computer associated with the cloud-based application, instructions for the cloud-based application which include instructions associated with a plurality of version identifiers, each version identifier associated with at least one feature identifier, parsing, by the server computer associated with the cloud-based application, the instructions for the cloud-based application to determine a subset of instructions associated with the version ident

Abstract: Systems and methods are provided for receiving input for a message, including a comment from a user, in a first zone of a message area of a graphical user interface of a first interface, the graphical user interface comprising the message area comprising the first zone to allow the user to enter a comment and a second zone to allow the user to insert item details by accessing an item list generated from a database. The systems and method further providing for detecting input in the comment from the user indicating a request for an item list associated with the input, accessing the database to generate the item list based on the input entered by the user wherein the item list is displayed to the user, detecting a selected item in the item list displayed to the user, generating item details associated with the selected item wherein the item details are inserted in the second zone of the message area of the graphical user interface.

Abstract: Systems and methods are provided for receiving input for a message, including a comment from a user, in a first zone of a message area of a graphical user interface of a first interface, the graphical user interface comprising the message area comprising the first zone to allow the user to enter a comment and a second zone to allow the user to insert item details by accessing an item list generated from a database. The systems and method further providing for detecting input in the comment from the user indicating a request for an item list associated with the input, accessing the database to generate the item list based on the input entered by the user wherein the item list is displayed to the user, detecting a selected item in the item list displayed to the user, generating item details associated with the selected item wherein the item details are inserted in the second zone of the message area of the graphical user interface.

Abstract: Systems and methods are provided for training a machine learning model using a plurality of data related to a product and services support system to determine a plurality of parameters to be used to search for one or more results for an input stream and storing the plurality of parameters in one or more databases. Systems and methods further provide for receiving an input stream from a user computing device, parsing the input stream to generate a parsed input stream, translating the parsed input stream into one or more of the plurality of parameters output from the machine learning model to generate a search string, searching a knowledge base using the search string to determine one or more results associated with the parsed input stream, and providing at least one result of the one or more results associated with the parsed input stream to the user computing device.

Abstract: Systems and methods are provided for receiving input for a message, including a comment from a user, in a first zone of a message area of a graphical user interface of a first interface, the graphical user interface comprising the message area comprising the first zone to allow the user to enter a comment and a second zone to allow the user to insert item details by accessing an item list generated from a database. The systems and method further providing for detecting input in the comment from the user indicating a request for an item list associated with the input, accessing the database to generate the item list based on the input entered by the user wherein the item list is displayed to the user, detecting a selected item in the item list displayed to the user, generating item details associated with the selected item wherein the item details are inserted in the second zone of the message area of the graphical user interface.

Abstract: Systems and methods are described herein for receiving, by a server computer associated with a cloud-based application, a request via a network from a requesting device associated with an on-premise application, for at least one feature associated with an application service provided by the cloud-based application, the request including a requester identifier and a requested feature identifier, determining, by the server computer associated with the cloud-based application, a version identifier for the request based on the requester identifier, accessing, by the server computer associated with the cloud-based application, instructions for the cloud-based application which include instructions associated with a plurality of version identifiers, each version identifier associated with at least one feature identifier, parsing, by the server computer associated with the cloud-based application, the instructions for the cloud-based application to determine a subset of instructions associated with the version ident

Abstract: A data collection and/or monitoring service residing at a client system collects and sends client system information to a backend system. The client system information is used to update a maintained repository of client system information that is associated with software installed at the client system. The maintained repository is used to determine one or more software update recommendations which are sent to the client system. In response to a trigger event, one or more software updates associated with the update recommendations are automatically downloaded and deployed at the client system. The download and deployment of software updates can be scheduled at the client system.

Abstract: A health check monitoring process embedded in a client system provides automation of monitoring processes of system and application components and creates and pushes incidents and/or administration tasks to a user or user interface if a critical situation or event, such as a monitored status of a component exceeds a predetermined threshold value or state, is detected. The creation of an incident includes automatically collecting context data associated with the event, generating a incident report associated with the collected diagnostic data and generating an incident service request based on the incident report. The context data may include technical and application information that is usually required to resolve the incident. The user interface includes various views depicting different levels of information related to the service request, such as an incident work list, details of a particular incident and details of the context data associated with an incident.

Abstract: A health check framework for enterprise systems is described herein. In one embodiment, a health check framework includes one or more first layer methods as public interfaces to allow an application client to initiate one or more stages of a health checking session, where the first layer methods are independent of a particular component of the enterprise system. The health check framework further includes one or more second layer methods to provide an abstract interface to the one or more system and/or application components with respect to the one or more first layer methods. The second layer methods include one or more methods that are specific to a corresponding one of the system and/or application components of the enterprise system. During a health check session, the first layer methods invoke the second layer methods to perform health check operations. Other methods and apparatuses are also described.

Abstract: A health check framework for enterprise systems is described herein. In one embodiment, a health check framework includes one or more first layer methods as public interfaces to allow an application client to initiate one or more stages of a health checking session, where the first layer methods are independent of a particular component of the enterprise system. The health check framework further includes one or more second layer methods to provide an abstract interface to the one or more system and/or application components with respect to the one or more first layer methods. The second layer methods include one or more methods that are specific to a corresponding one of the system and/or application components of the enterprise system. During a health check session, the first layer methods invoke the second layer methods to perform health check operations. Other methods and apparatuses are also described.

Abstract: A health check monitoring process embedded in a client system provides automation of monitoring processes of system and application components and creates and pushes incidents and/or administration tasks to a user or user interface if a critical situation or event, such as a monitored status of a component exceeds a predetermined threshold value or state, is detected. The creation of an incident includes automatically collecting context data associated with the event, generating a incident report associated with the collected diagnostic data and generating an incident service request based on the incident report. The context data may include technical and application information that is usually required to resolve the incident. The user interface includes various views depicting different levels of information related to the service request, such as an incident work list, details of a particular incident and details of the context data associated with an incident.

Abstract: A data collection and/or monitoring service residing at a client system collects and sends client system information to a backend system. The client system information is used to update a maintained repository of client system information that is associated with software installed at the client system. The maintained repository is used to determine one or more software update recommendations which are sent to the client system. In response to a trigger event, one or more software updates associated with the update recommendations are automatically downloaded and deployed at the client system. The download and deployment of software updates can be scheduled at the client system.