Abstract:
A system and method for creation and automatic deployment of personalized, dynamic and interactive voice services relating to subscriber entertainment, including information derived from on-line analytical processing (OLAP) systems. More specifically, the invention relates to a system and method that enable personalized delivery of entertainment-related information in real-time, via natural language voice communication with a voice-enabled terminal device.
Abstract:
A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.
Abstract:
A system and method for the creation and automatic deployment of personalized, dynamic and interactive voice services, including information derived from on-line analytical processing (OLAP) systems and other data repositories is disclosed. The system and method includes the ability to deploy personalized voice services through a live or recorded personalized broadcast. In particular, the system and method access personalized information and generate personalized markup documents from the personalized information. The personalized markup document is converted to a form that is suitable for over-air transmission and transmitted to a subscriber of the voice service.
Abstract:
A delivery system for a personal intelligence network that actively delivers highly personalized and timely informational and transactional data collects and distributes e-mail and other content from a hub-and-spoke style source architecture, with a control server managing a set of output servers. The output servers may transmit messages of topical interest to a subset of the subscribers, concurrently. The content may be generated by an OLAP based channel database system, and the output may also be communicated to individuals via spreadsheet programs data, pager, telephone, mobile phone, fax, personal digital assistants, HTML e-mail, WAP and other formats.
Abstract:
A data warehousing system stores the raw data population for an underlying delivery system for a personal intelligence network that actively delivers highly personalized and timely informational and transactional data collects and distributes e-mail and other content from a hub-and-spoke style source architecture. The architecture of the data storage system includes a data distribution depository warehousing the raw data, and a data distribution control server monitoring the state of the data for fault and other conditions. For instance, data may revert to the next-most recent state when a corruption is detected. Furthermore, data may be collected continuously but the data image of the repository may be frozen during subscriber inquiries, to avoid inconsistent output.
Abstract:
A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.
Abstract:
A system and method for the creation and automatic deployment of personalized, dynamic and interactive voice services, including information derived from on-line analytical processing (OLAP) systems and other data repositories is disclosed. The system and method includes the ability to deploy personalized voice services through a live or recorded personalized broadcast. In particular, the system and method access personalized information and generate personalized markup documents from the personalized information. The personalized markup document is converted to a form that is suitable for over-air transmission and transmitted to a subscriber of the voice service.
Abstract:
A system and method for creation and automatic deployment of personalized, dynamic and interactive voice services relating to subscriber entertainment, including information derived from on-line analytical processing (OLAP) systems. More specifically, the invention relates to a system and method that enable personalized delivery of entertainment-related information in real-time, via natural language voice communication with a voice-enabled terminal device.
Abstract:
A system and method for generating revenue from a personalized intelligence network which outputs personalized and timely informational and transactional content from an OLAP-based system to individuals through use of a high-speed processing and output delivery system to email, Excel, pager, mobile phone, fax, telephone, personal digital assistants and other output devices. Affiliates may enlist subscribers and receive a share of revenues generated from subscription fees, advertising fees, bundling fees and transaction fees.
Abstract:
A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.