Computer Associates Think, Inc.

Switchboard Software, Inc.

Sap Ag

Ju-Kay Kwek

Jon Ruiz

Carl Seglem

Michael Manoochehri

Jie Weng

Samir Raiyani

Li Gong

Wai Or

John Hanley

Jordan Anderson

Systems and methods for aggregating, distilling, and analyzing large scale data sets are disclosed. In some embodiments a task object is generated based on inputs received via a user interface defining actions to perform on one or more data sets. In some embodiments, the task object is forwarded to a pipeline processor configured to invoke a distributed computing cluster to process the data sets according to the defined actions.

Aggregating, distilling, and analyzing large-scale data sets

A natural language tool is provided for specifying a subset of data. The data may be dynamic and have elements which are inter-related. The inter-related data is specified using a natural language expression. The natural language tool enables a user to construct a natural language expression using embedded fields. A user may configure, add and remove fields within the expression. A natural language expression contains at least two configurable fields. The fields of an expression have a tiered relationship. When a higher tiered field is changed, one or more lower tiered fields may be changed in response to the higher field change.

Specifying a subset of dynamic inter-related data

A natural language tool is provided for specifying a subset of data. The data may be dynamic and have elements which are inter-related. The natural language tool enables a user to construct a natural language expression having embedded fields to specify the subset of data. A user may configure, add and remove fields within the expression. The natural language expression contains at least two configurable fields having a tiered relationship. The fields may be associated with type-ahead functionality and menu culling, field manipulation indicators to configure the number of fields in an expression, and matching data count information for a field or the entire expression.

Natural language tool for specifying a subset of dynamic inter-related data

A sales system is described that enables fast, efficient shopping by customers, and thereby increases sales and encourages customer loyalty, while simultaneously improving store management. An electronic device, which may be mobile or stationary, and which may belong or be assigned to (or accessed by) each customer, is used to access shopping information that might not otherwise be available to the customer during shopping. For example, a personal digital assistant or information kiosk may be used to provide specific product information and complete a sale thereof, or to provide suggested purchase lists and best routes through the store during shopping. The sales system is multi-modal, so that a plurality of input modalities (such as voice or auto-id techniques) are simultaneously available to the customer. Additionally, because it is multi-modal, the system can communicate with other store items, such as shelves or shopping carts, to gain (and integrate) information about customers and the products the customers are purchasing.

Multi-modal sales applications

Growing community of inventors

San Francisco, CA, United States of America

Ju-Kay Kwek