Lifesize Communications, Inc.

Citrix Systems, Inc.

Other

Emc IP Holding Company LLC

Emc Corporation

Lifesize, Inc.

Ashish Goyal

Binu Kaiparambil Shanmukhadas

Keith C King

Raphael Anuar

Hrishikesh G Kulkarni

Vivek Wamorkar

Stefan F Slivinski

Raghuram Belur

Boby Skaria Pullamkottu

Sunil George

Hitesh Chouhan

Nitin Kumar Mathur

Mariana Ortiz-Reyes

P Raghavendra Kamath

Aditya Chand

Sandeep Lakshmipathy

Michael Roche

Scott Randolph Quesnelle

Prithvi Ranganath

Kiran Kumar Malle Gowda

Sampath Kumar Srinivas

Shantha Kumari Harohalli Sathyanarayana Rao

Methods and systems for generating conversation models from documents are described herein. A system may receive a document and generate a conversation model that may be deployed by a chatbot or other automated agent (e.g., voice assistant, messenger bot, etc.). The chatbot may use the conversation model to engage in a conversation with a user and obtain information from the user to complete the document. The system may generate questions to ask the user based on text in the document that indicates a request for information. Additionally, the system may provide instructions to a user via a chatbot. The instructions may be generated based on text in the document that explains how to fill out the document.

Generating conversation models from documents

One example method includes moving a volume from a source server to a target server. In one example, the volume is moved and the need to copy the source data is eliminated. The volume to be moved is selected and metadata associated with the save sets stored on the volume is exported to a volume bootstrap, which is also stored on the selected volume. The volume is mounted or attached to the target server and the metadata is imported from the volume bootstrap. The volume is made read/write and is moved from the source server to the target server.

Protected saveset volume movement via metadata bootstrap

Methods and systems for generating conversation models from documents are described herein. A system may receive a document and generate a conversation model that may be deployed by a chatbot or other automated agent (e.g., voice assistant, messenger bot, etc). The chatbot may use the conversation model to engage in a conversation with a user and obtain information from the user to complete the document. The system may generate questions to ask the user based on text in the document that indicates a request for information. Additionally, the system may provide instructions to a user via a chatbot. The instructions may be generated based on text in the document that explains how to fill out the document.

Methods and systems for identifying a source of leak of confidential information are described herein. The methods and systems related to a file sharing system that may generate a copy of a shared file that is unique each user. The file management system may determine a plurality of differences within each version of the file. A table of differences is maintained by the file management system, for comparison against any leaked version of the file. The file management system compares each generated version of the file against previously generated versions to ensure enough differences are included to determine a unique identity of the user associated with any leaked file.

Secure file sharing using semantic watermarking

Methods and systems for securely accessing content irrespective of the security of the environment in which the content is being accessed are described herein. In some embodiments, a mobile computing device may determine whether secure enterprise content is being accessed on a mobile computing device. In response to determining that a private user device (e.g., virtual reality or augmented reality headwear/eyewear), is communicatively coupled to the mobile computing device, the mobile computing device may prevent the secure content from display on the mobile computing device and instead generate the secure enterprise content for presentation in an unencrypted form on the private user device.

Multiscreen secure content access

A videoconference may be initiated between a plurality of endpoints. At least one of the endpoints may be coupled to a recording server, which may be configured to record the videoconference. A configuration may be selected (e.g., automatically or manually) for performing the recording. The endpoint (e.g., acting as an MCU) may transmit information to endpoints and may transmit recording information to the recording server. The recording information may be different from the videoconference information. For example, it may be in a 'streaming friendly' format, at a different bit rate, encoded differently, have different inputs, etc. The manner in which the videoconference is stored and/or recorded may be based on the selected configuration. Clients may be configured to receive and display the videoconference from the recording server and may be configured to change the provided layout to different layouts, e.g., based on user input.

Recording a videoconference using separate video

Methods and apparatus for archiving files in a system with primary storage and secondary storage that reduces thread contention. A single input reader thread generates list of files for processing by multiple map threads that evaluate each file in a list against a number of archive policies, such as move, purge, index and delete. Reduce threads take the lists from the map threads and generates list of files for action under a given policy, e.g., move, purge, index, delete. This arrangement eliminates thread contention for files and lists.

Methods and apparatus for archiving system having enhanced processing efficiency

Recording a videoconference using video different from the videoconference

Initiating recording of a videoconference via a single user interaction

Recording a videoconference using a recording server

Customizing a conferencing system based on proximity of a participant. A first participant may be detected as being proximate to a first conferencing system. For example, the first participant may provide user input to check in to the first conferencing system. Alternatively, the conferencing system may automatically detect the first participant (e.g., by automatically detecting a personal device of the first participant). In response to detecting the proximate participant, the first conferencing system may be automatically customized for the participant.

Automatically customizing a conferencing system based on proximity of a participant

Providing separate video and presentation streams to a recording server

Selective audio combination for a conference. The conference may be initiated between a plurality of participants at respective participant locations. The conference may be performed using a plurality of conferencing endpoints at each of the participant locations. Audio may be received from each of the plurality of conferencing endpoints. Audio level information may also be received from each of the plurality of conferencing endpoints. The audio may be combined from a plural subset of the plurality of conferencing endpoints to produce conference audio. The plural subset is less than all of the plurality of conferencing endpoints. The audio may be combined based on the audio level information. The conference audio may be provided to the plurality of conferencing endpoints.

Selective audio combination for a conference

Streaming a videoconference from a server including boundary information for client layout adjustment

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Bengaluru, India

Ashish Goyal