Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure relates to associating digital meeting content with meeting attendees based on volume-based speaker attribution. In particular, the disclosed systems can attribute segments of audio associated with a meeting to meeting attendees (i.e., identify a meeting attendee as the speaker of one or more audio segments) based on speaking volumes captured by the audio. For example, the audio of a meeting can include speech from a plurality of meeting attendees, where the speech associated with each meeting attendee corresponds to a particular speaking volume. The disclosed systems can use the speaking volumes to map speakers to meeting attendees, therefore associating the meeting attendees with particular segments of speech. The disclosed systems can then associate digital meeting content with those meeting attendees.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for improving digital transcripts of a meeting based on user information. For example, a digital transcription system creates a digital transcription model to automatically transcribe audio from a meeting based on documents associated with meeting participants, event details, user features, and other meeting context data. In one or more embodiments, the digital transcription model creates a digital lexicon based on the user information, which the digital transcription system uses to generate the digital transcript. In some embodiments, the digital transcription model trains and utilizes a digital transcription neural network to generate the digital transcript.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 actual or predicted service usage data from the consumer. 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 for use in a subsequent transaction.

Abstract: A system and method for matching a savings opportunity using third party data includes gathering transaction data from a user's financial account and analyzing the transaction data for a savings opportunity indication. Third party data regarding the savings opportunity 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.

Abstract: 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.

Abstract: Methods and systems for a conditional purchase may include gathering transaction data from a user's financial account and analyzing the data for a savings opportunity indication. A savings opportunity is matched to the user based on the savings opportunity indication. The user may provide a conditional purchase offer for a good or service identified by the savings opportunity, wherein the offer specifies at least one of a desired discount and an offer price. The conditional purchase offer is compared with at least one of an inventory and a pricing information to determine if the conditional purchase offer is acceptable. If the conditional purchase offer is acceptable, the customer may be bound to purchase the good or service. If the conditional purchase offer is not acceptable, the user may modify at least one of the discount and offer price of the conditional purchase offer to try to gain acceptance again.