Rahim Mohamed Yaseen - Redwood City CA, US Jon Rexford Degenhardt - Mountain View CA, US Sean Kevin Frogner - San Francisco CA, US Sudhakar Kaki - Pleasanton CA, US Maria Elisabeth Kaval - Menlo Park CA, US Yee Wah Lee - San Mateo CA, US Min Lu - Fremont CA, US Christopher Scott Nash - San Mateo CA, US Kaushik Roy - Foster City CA, US Kanchan Shringi - Redwood City CA, US Vipul Shroff - Cupertino CA, US Yu Sui - San Mateo CA, US Alvin H. To - Redwood City CA, US Sanjin Tulac - Mountain View CA, US Dejia Wang - San Mateo CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06F 3/00 G06F 9/44
US Classification:
715763, 715709, 715765, 715762, 715967
Abstract:
A method for building wizard-style user interfaces (UIs) for a business task is disclosed. The method includes receiving metadata at a computer system, where the metadata comprises information regarding the business task, generating an analysis by analyzing the metadata, generating user guidance information, and executing flow and business logic of the business task. The user guidance information is with regard to the business task, and the user guidance information is based on the analysis.
Rahim Mohamed Yaseen - Redwood City CA, US Jon Rexford Degenhardt - Mountain View CA, US Sean Kevin Frogner - San Francisco CA, US Sudhakar Kaki - Pleasanton CA, US Maria Elisabeth Kaval - Menlo Park CA, US Yee Wah Lee - San Mateo CA, US Min Lu - Fremont CA, US Christopher Scott Nash - San Mateo CA, US Kaushik Roy - Foster City CA, US Kanchan Shringi - Redwood City CA, US Vipul Shroff - Cupertino CA, US Yu Sui - San Mateo CA, US Alvin H. To - Redwood City CA, US Sanjin Tulac - Mountain View CA, US Dejia Wang - San Mateo CA, US
International Classification:
G06F 3/00
US Classification:
715762, 715705
Abstract:
In one embodiment, a method for building wizard-style user interfaces (UIs) for a business task includes identifying a collection of metadata associated with the business task, and processing the collection of metadata to provide a set of wizard-style UIs pertaining to the business task.
- Santa Clara CA, US Xiaomei Zhang - Palo Alto CA, US Hasan Rizvi - Santa Clara CA, US Sean Frogner - Santa Clara CA, US Muruganantham Chinnananchi - Santa Clara CA, US Michael Fortson - Tiburon CA, US
International Classification:
G06F 16/9032 G10L 15/06 G10L 15/22
Abstract:
A conversation-based computing system may include a back-end computing module, a design module, and an execution module. The design module may be configured to provide a graphical user interface through which different conversation models are defined in metadata. Each model may include a topic containing respective goals, where the goals are associated with respective conversation flows that define respective dialogs that directs conversations toward the associated goals. Each model may also define references to topic-specific content stored in the back-end module. The execution module may be configured to execute a particular model between the system and a front-end computing device and set up integration of a live agent into the model. Execution of the model may involve, in part, carrying out, in an at least partially-automated fashion, the flow for the model according to the dialog, the topic-specific content corresponding to the model, and communicating using a specific communication protocol.
Context-Based User Assistance And Service Workspace
- Santa Clara CA, US Sean K. Frogner - Walnut Creek CA, US
International Classification:
G06F 3/0484 H04L 12/58 H04L 29/08
Abstract:
An example embodiment may involve generating and providing, for display on a graphical user interface, a single window that includes a dialog region, a service region, and a contextual action bar. The dialog region may include locations for displaying a conversation between a user and an agent, and for entering a message to be added to the conversation. The service region may be for displaying a workspace for viewing a record relating to the user and accessing services provided via a back-end system by way of a managed network. The contextual action bar may include one or more selectable context-specific actions. The embodiment may also involve analyzing at least one of the conversation, the record relating to the user, and the services to identify contextual terms. The embodiment may also involve, based on the contextual terms, generating and providing, for display on the contextual action bar, a selectable context-specific action.
- Santa Clara CA, US Xiaomei Zhang - Palo Alto CA, US Hasan Rizvi - Santa Clara CA, US Sean Frogner - Santa Clara CA, US Muruganantham Chinnananchi - Santa Clara CA, US Michael Fortson - Tiburon CA, US
International Classification:
G06F 3/0484 G06F 17/30 G06F 3/0482 G06F 17/27
Abstract:
A conversation-based computing system may include a back-end computing module, a design module, and an execution module. The design module may be configured to provide a graphical user interface through which different conversation models are defined in metadata. Each model may include a topic containing respective goals, where the goals are associated with respective conversation flows that define respective dialogs that directs conversations toward the associated goals. Each model may also define references to topic-specific content stored in the back-end module. The execution module may be configured to execute a particular model between the system and a front-end computing device and set up integration of a live agent into the model. Execution of the model may involve, in part, carrying out, in an at least partially-automated fashion, the flow for the model according to the dialog, the topic-specific content corresponding to the model, and communicating using a specific communication protocol.
- Santa Clara CA, US Xiaomei Zhang - Palo Alto CA, US Hasan Rizvi - Santa Clara CA, US Sean Frogner - Santa Clara CA, US Muruganantham Chinnananchi - Santa Clara CA, US Michael Fortson - Tiburon CA, US
International Classification:
G06F 3/0484 G06F 3/0482 G06F 17/27 G06F 17/30
Abstract:
A conversation-based computing system may include a back-end computing module, a design module, and an execution module. The design module may be configured to provide a graphical user interface through which different conversation models are defined in metadata. Each model may include a topic containing respective goals, where the goals are associated with respective conversation flows that define respective dialogs that directs conversations toward the associated goals. Each model may also define references to topic-specific content stored in the back-end module. The execution module may be configured to execute a particular model between the system and a front-end computing device and set up integration of a live agent into the model. Execution of the model may involve, in part, carrying out, in an at least partially-automated fashion, the flow for the model according to the dialog, the topic-specific content corresponding to the model, and communicating using a specific communication protocol.
Rms
Senior Director of Product Management
Stepladder
Product Advisor
Qlue Inc (Acquired By Servicenow) Apr 2015 - Nov 2018
Products Lead
Audetemi Apr 2015 - Nov 2018
Product Advisor
Couchbase Oct 2013 - May 2015
Senior Director - Product Management
Education:
Humboldt State University 1988 - 1993
Bachelors, Bachelor of Science
Skills:
Product Management Enterprise Software Cloud Computing Saas Crm Integration Enterprise Architecture Pre Sales Business Intelligence Solution Architecture Software Development Oracle Sales Enablement Agile Methodologies Soa Management Analytics Consulting Strategy Web Services Siebel Software Project Management Business Analysis Program Management Business Alliances Professional Services Salesforce.com Scrum Product Marketing Requirements Analysis Go To Market Strategy Business Process Business Process Design Agile Project Management Databases Solution Selling Eai Start Ups Data Warehousing Mobile Devices Leadership Strategic Partnerships Telecommunications Product Lifecycle Management Couchbase Project Management Ai Machine Learning Mobile Applications Universal Mobile Telecommunications System It Strategy Requirements Gathering Scalability Erp Middleware