Ricoh Company, Ltd.

Other

Steven A Nelson

Hiroshi Kitada

Lana Wong

Charchit Arora

Patrick Gannon

Ryan Hess

Fred Herold

Gary Turner

Jeanette Wall

T J Tsai

John Gramlich

Tj Tsai

A 3D portal facilitates revision, review, and approval of 3D printable files prior to printing. A collection of one or more 3D printable files of an object to be printed is revised and reviewed until a version of the collection that is not only accurate but optimized for printing, is finalized. Healthcare professional users and application engineer users are able to communicate, collaborate, and plan requirements for the print.

3D print portal to assist in revising, reviewing, and approving 3D printable files

Techniques for providing clearance, notification, and selection of use related to certification of 3D anatomical models for pre-surgical planning are provided. In one technique, a collection of sets of one or more files for generating a 3D anatomical model is stored. First input to print a 3D anatomical model based on a set of one or more files in the collection is received from a requester computer. In response to determining that the to-be-printed 3D anatomical model is not associated with a predetermined certification, a user interface is updated to indicate that the 3D anatomical model cannot be used for a diagnostic purpose. Second input that indicates that a user of the requester computer accepts using the 3D anatomical model for only non-diagnostic purposes is received. After receiving the second input, the 3D anatomical model is generated.

Providing clearance, notification, and selection of use related to certification of 3D anatomical models for presurgical planning

A cognitive agent system provides a centralized capability for users to configure and deploy cognitive agents across multiple heterogeneous vendor platforms. The cognitive agent system provides a design environment that allows users to define skills, as well as a new conversation construct that supports more complex interactions with users. The cognitive agent system also includes a deployment environment that allows users to register users and cognitive agents, deploy skills and conversations, and monitor the activity of cognitive agents across multiple vendor platforms. These users may use the cognitive agent system to define skills and conversations once and then deploy the skills and conversations to multiple service endpoints across different vendor platforms. In addition, the cognitive agent system allows user to directly manage cognitive agents that are not specific to any particular vendor.

Approach for deploying skills for cognitive agents across multiple vendor platforms

Techniques related to electronic meeting intelligence are disclosed. An apparatus receives audio/video data including first meeting content data for an electronic meeting that includes multiple participants. The apparatus extracts the first meeting content data from the audio/video data. The apparatus generates meeting content metadata based on analyzing the first meeting content data. The apparatus includes the meeting content metadata in a report of the electronic meeting. If the apparatus determines that the audio/video data includes a cue for the apparatus to intervene in the electronic meeting, the apparatus generates intervention data including second meeting content data that is different from the first meeting content data. During the electronic meeting, the apparatus sends the intervention data to one or more nodes associated with at least one participant of the multiple participants.

Electronic meeting intelligence

Techniques for printing 3D anatomical models for diagnostic and/or non-diagnostic uses are provided. In one technique, a computing system (e.g., a 3D print portal) receives a first API call from a requester system via one or more APIs. The first API call indicates that a requester system has saved 3D printable files in a data repository. In response to receiving the first API call, the computing system sends, to the requester system, a user information form to initiate a production ordering process of printing the 3D printable files.

Printing 3D anatomical models for diagnostic and non-diagnostic uses

Artificial intelligence is introduced into document review to identify content suggestions from input to generate suggested annotations for the reviewed document. An approach is provided for receiving an electronic document that contains original content from an original electronic document for review and electronic mark-ups provided by a first user. One or more electronic mark-ups that represent content suggestions proposed by the first user are identified from the electronic document. For each electronic mark-up of the one or more electronic mark-ups identified a document portion of the original content that corresponds to the electronic mark-up is identified, and an annotation is generated for the electronic mark-up comprising the electronic mark-up and a first user ID for the first user and associating the annotation to the document portion identified. The original content with one or more annotations generated from the one or more electronic mark-ups is displayed, in electronic form, within a display window.

Artificial intelligence assisted review of electronic documents

Artificial intelligence is introduced into an electronic meeting context to perform various tasks before, during, and/or after electronic meetings. The artificial intelligence may analyze a wide variety of data such as data pertaining to other electronic meetings, data pertaining to organizations and users, and other general information pertaining to any topic. Capability is also provided to create, manage, and enforce meeting rules templates that specify requirements and constraints for various aspects of electronic meetings. Embodiments include improved approaches for translation and transcription using multiple translation/transcription services. Embodiments also include using sensors in conjunction with interactive whiteboard appliances to perform person detection, person identification, attendance tracking, and improved meeting start. Embodiments further include improvements to the presentation of content on interactive whiteboard appliances, providing meeting services for meeting attendees, agenda extraction, and learning to aid in creating new electronic meetings.

Person detection, person identification and meeting start for interactive whiteboard appliances

Generating a meeting review document that includes links to the one or more documents reviewed

Artificial intelligence assisted review of physical documents

An interactive whiteboard appliance includes the capability to integrate and manage, in a user-friendly manner, interactive electronic whiteboard sessions and videoconferencing sessions between the interactive whiteboard appliance and one or more client devices. An application manager executing on the interactive whiteboard appliance manages an interactive whiteboard application and a collaboration client executing on the interactive whiteboard appliance to maintain a videoconferencing session window on top of an interactive whiteboard session window during videoconferencing sessions. The application manager also provides graphical user interface controls displayed on the interactive whiteboard appliance that allow users to initiate and manage interactive electronic whiteboard sessions and videoconferencing sessions, including switching between interactive electronic whiteboard sessions and videoconferencing sessions. The approach may be implemented on interactive whiteboard appliances that are not natively configured to allow users to select and/or switch control between an interactive whiteboard session window and a videoconferencing session window.

Integration of videoconferencing with interactive electronic whiteboard appliances

Artificial intelligence is introduced into an electronic meeting context to perform various tasks before, during, and/or after electronic meetings. The tasks may include a wide variety of tasks, such as agenda creation, participant selection, real-time meeting management, meeting content supplementation, and post-meeting processing. The artificial intelligence may analyze a wide variety of data such as data pertaining to other electronic meetings, data pertaining to organizations and users, and other general information pertaining to any topic. Capability is also provided to create, manage, and enforce meeting rules templates that specify requirements and constraints for various aspects of electronic meetings.

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San Jose, CA, United States of America

Steven A Nelson