Abstract: Techniques for processing application data are described. The techniques include transmitting packets of application data to a data management server. The data management server maintains rules that dictate where the packets go as well as what actions are taken in response to the packets. Based on the rules, the data management server transmits the packets to destinations that may perform various actions. The actions performed by destinations may include logging data received from the applications, or performing other actions such as notifying an administrator or other entity of a particular event, or the like. The described architecture decouples functions such as logging, notification, and the like from the applications for which they are performed, which provides benefits such as improved scalability, as well as removing the need for application developers to build such functionality directly into the applications.

Abstract: Techniques for processing application data are described. The techniques include transmitting packets of application data to a data management server. The data management server maintains rules that dictate where the packets go as well as what actions are taken in response to the packets. Based on the rules, the data management server transmits the packets to destinations that may perform various actions. The actions performed by destinations may include logging data received from the applications, or performing other actions such as notifying an administrator or other entity of a particular event, or the like. The described architecture decouples functions such as logging, notification, and the like from the applications for which they are performed, which provides benefits such as improved scalability, as well as removing the need for application developers to build such functionality directly into the applications.

Abstract: Techniques for processing application data are described. The techniques include transmitting packets of application data to a data management server. The data management server maintains rules that dictate where the packets go as well as what actions are taken in response to the packets. Based on the rules, the data management server transmits the packets to destinations that may perform various actions. The actions performed by destinations may include logging data received from the applications, or performing other actions such as notifying an administrator or other entity of a particular event, or the like. The described architecture decouples functions such as logging, notification, and the like from the applications for which they are performed, which provides benefits such as improved scalability, as well as removing the need for application developers to build such functionality directly into the applications.

Abstract: Techniques for processing application data are described. The techniques include transmitting packets of application data to a data management server. The data management server maintains rules that dictate where the packets go as well as what actions are taken in response to the packets. Based on the rules, the data management server transmits the packets to destinations that may perform various actions. The actions performed by destinations may include logging data received from the applications, or performing other actions such as notifying an administrator or other entity of a particular event, or the like. The described architecture decouples functions such as logging, notification, and the like from the applications for which they are performed, which provides benefits such as improved scalability, as well as removing the need for application developers to build such functionality directly into the applications.

Abstract: A handheld personal assistant including a voice-recognizer and a natural-language processor is disclosed. The recognizer is configured to transform a verbal expression from a person into a different mode of information (e.g., text). The natural-language processor is configured to process the mode of information to extract, from a database, a piece of information that is personal to the person. In processing, the processor analyzes the expression grammatically and semantically to transform at least a part of the mode of operation into at least one instruction. This piece of information can be a to-do list, information in the person's calendar or information from the person's address book, such as a phone number. The processor can still extract the piece of information when the person declares the expression differently.

Abstract: A handheld personal assistant including a voice-recognizer and a natural-language processor is disclosed. The recognizer is configured to transform a verbal expression from a person into a different mode of information (e.g., text). The natural-language processor is configured to process the mode of information to extract, from a database, a piece of information that is personal to the person. In processing, the processor analyzes the expression grammatically and semantically to transform at least a part of the mode of operation into at least one instruction. This piece of information can be a to-do list, information in the person's calendar or information from the person's address book, such as a phone number. The processor can still extract the piece of information when the person declares the expression differently.