Dropbox, Inc.

Truaxis, Inc.

Shehzad Daredia

Behrooz Khorashadi

Ramakrishna V Satyavolu

Samir Kothari

Hudson Arnold

Matthew Broussard

Emma Highley

Devangi Vivrekar

Saravana Perumal Shanmugam

Justin Hileman

Bala Krishna Nakshatrala

Erik Larson

A content management system obtains at least a portion of a meeting transcript based on an audio stream of a meeting attended by a plurality of users, the meeting transcript obtained in an ongoing manner as words are uttered during the meeting. The content management system detects text entered by a user of the plurality of users into a content item during the meeting. The content management system matches the detected text to at least part of the at least the portion of the meeting transcript. The content management system provides the at least part of the at least the portion of the meeting transcript to the user as a suggested subsequent text.

Machine learning recommendation engine for content item data entry based on meeting moments and participant activity

Methods, systems, and non-transitory computer readable storage media are disclosed for generating meeting insights based on media data and device input data. In one or more embodiments, the system analyzes media data and inputs to client devices associated with a meeting to determine a portion of the meeting that is relevant for a user. In one or more embodiments, the system generates a meeting summary, meeting highlights, or action items related to the media data to provide to the client device. In one or more embodiments, the system also uses the summary, highlights, or action items to train a machine-learning model for use with future meetings.

Generating customized meeting insights based on user interactions and meeting media

Methods, systems, and non-transitory computer readable storage media are disclosed for generating meeting insights based on media data and device input data. For example, in one or more embodiments, the disclosed system utilizes analyzes media data including audio data or video data and inputs to client devices associated with a meeting to determine a portion of the meeting (e.g., a portion of the media data) that is relevant for a user. In response to determining a relevant portion of the meeting, the system generates an electronic message including content related to the relevant portion of the meeting. The system then provides the electronic message to a client device of the user. For instance, in one or more embodiments, the system generates a meeting summary, meeting highlights, or action items related to the media data to provide to the client device of the user. In one or more embodiments, the system also uses the summary, highlights, or action items to train a machine-learning model for use with future meetings.

A system and method for matching a savings opportunity using census data includes gathering transaction data from a user's financial account and analyzing the transaction data for a savings opportunity indication. Third party census data related to a geographic location of the user may be used in addition to the savings opportunity indication to match a savings opportunity from a database of savings opportunities to the user. The savings opportunity is displayed in association with a statement of the user's financial account.

System and method for matching a savings opportunity using census data

A collaborative content management system allows users to create, edit, and share collaborative content items among a plurality of other users. The system enables a collaboration event between author client devices and recipient client devices. During a collaboration event, a collaborative content item is created by an author. The collaborative content item is converted into a model collaborative content item and stored in the collaborative content management system. Access to the model collaborative content item is shared with recipient client devices. A derivative copy of the collaborative content item is generated based on the model collaborative content item, for instance in response to a request from a user of a recipient client device. The created derivative collaborative content items are editable by users corresponding to the derivative collaborative content item such that edits made to a first derivative collaborative content item are not accessible to other derivative collaborative content items.

Author sharing and recipient creation of copied collaborative content items

The present disclosure relates to comparison shopping and usage based service analysis for consumers, primarily for financial products. A consumer may not be aware of a provider's services, options, terms, conditions, costs, or how the service options change based on the consumer's particular usage characteristics. The disclosed comparison shopping method uses the consumer's actual or predicted service usage data. Service provider information is used to present the consumer with relevant alternative service offering options. Transaction data is gathered from a user's financial account and is analyzed for a savings opportunity indication. The analysis is used to match a savings opportunity from a database of savings opportunities, and the savings opportunity may be displayed in a statement of a user's financial account. Past responses to a savings opportunity indication may be gathered and analyzed. In one example, a savings opportunity is presented with a statement of the consumer's financial account.

System and method for providing a savings opportunity in association with a financial account

A system and method for providing socially enabled rewards through a user financial instrument includes gathering transaction data from a user's financial account and analyzing the transaction data for a savings opportunity indication. A savings opportunity from a database of savings opportunities is matched to the user based on the savings opportunity indication, wherein the savings opportunity can be shared with other users or a social network. The savings opportunity is displayed in association with a statement of a user's financial account and the user is allowed to share the savings opportunity, wherein sharing causes a shared savings opportunity to be generated. A second user, one who received the shared savings opportunity, can redeem the shared savings opportunity. The sharing and redemption of the shared savings opportunity is tracked, such as to improve targeting users who are influential based on the number of redemptions of the shared savings opportunity.

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San Francisco, CA, United States of America

Shehzad Daredia