Abstract: An application programming interface (API) receives broadcast-related information from media automation applications. A traffic log is received from a first media automation application configured to generate a traffic log associated with a media station, and spot information associated with spots included in the traffic log is received from at least a second media automation application. The API stores the broadcast-related information, including the traffic log and the spot information, in one or more databases. The API also receives, from a media playout system, at least one request for the stored broadcast-related information. The media playout system is configured to insert media content into a media broadcast associated with the media station. The API provides the requested broadcast-related information to the media playout system, which inserts the media content into the media broadcast associated with the media station.

Abstract: An edge device operates in an online mode of operation during a first period of time, wherein during the online mode of operation, the edge device obtains broadcast-related information originating from media automation applications. The edge device operates in a local mode of operation during a second period of time, wherein during the local mode of operation the edge device obtains locally stored broadcast-related information, and emulates services provided by the media automation applications. The edge device operates in a disaster recovery mode of operation during recovery from the local mode of operation, wherein during the disaster recovery mode of operation the edge device obtains stored broadcast-related information from a content recovery database.

Abstract: A system is provided that extracts contextual keywords from contextual data of programming media content based on a mapping of the contextual data of the programming media content with stored keywords or event information associated with semantics of the programming media content. A plurality of potential non-programming media items is determined from a plurality of non-programming media items for a plurality of users, based on a match between a sentiment type of each of the plurality of non-programming media items and the extracted contextual keywords. Based on a set of constraints, a schedule for insertion of a potential non-programming media item is generated at a candidate spot in the programming media content at run time.

Abstract: A system is provided for cross-platform proposal creation, optimization, and deal management. The system generates a proposal plan corresponding to a distribution of target audience across a set of delivery platforms based on an adjustment of a request parameter associated with a request. The proposal plan is executed for a first time period in a flight on a first delivery platform from the set of delivery platforms based on a plurality of client-defined requirements corresponding to the request. The proposal plan is optimized for a second time period in the flight by an in-flight re-distribution of the target audience across the set of delivery platforms. Execution of the optimized proposal plan is controlled for the second time period in the flight on the first delivery platform.

Abstract: A system determines a constraint associated with a pending deal for an advertiser based on target cost per thousand (CPM) reduction goal, demographics CPM cap, or established parameter. Rates are generated for each selling title for a week for a duration and a network of the pending deal. In certain time period for first channel of first network, buckets are determined based on sum of program attributes and time attributes for each second channel and weighing factor. Target audience rating estimates are acquired based on a predictive model, the buckets, the target CPM reduction goal, and the demographics CPM cap for plurality of networks. First proposal information is generated based on first distribution information of an audience spot and modified target CPM of a proposal associated with the pending deal based on target audience rating estimates. Audience spot is scheduled across the network for a selling title and week combination.

Abstract: An edge device operates in an online mode of operation during a first period of time, wherein during the online mode of operation, the edge device obtains broadcast-related information originating from media automation applications. The edge device operates in a local mode of operation during a second period of time, wherein during the local mode of operation the edge device obtains locally stored broadcast-related information, and emulates services provided by the media automation applications. The edge device operates in a disaster recovery mode of operation during recovery from the local mode of operation, wherein during the disaster recovery mode of operation the edge device obtains stored broadcast-related information from a content recovery database.

Abstract: An edge device remotely accesses cloud-based media automation services by pointing an interface of the edge device to a cloud-based sequencer. Broadcast logs defining a broadcast schedule and media files specified in the broadcast logs are obtained from the cloud-based sequencer, and local versions are stored in a storage device locally accessible to the edge device. Availability of the cloud-based sequencer is monitored, and if the cloud-based sequencer becomes unavailable, the interface of the edge device is pointed to a local sequencer instead of the cloud-based sequencer. The local sequencer emulates one or more media automation services normally provided by the cloud-based sequencer. In response to determining that availability of the cloud-based sequencer has been restored, the edge device's interface is re-pointed to the cloud-based sequencer.

Abstract: An application programming interface (API) receives broadcast-related information from media automation applications. A traffic log is received from a first media automation application configured to generate a traffic log associated with a media station, and spot information associated with spots included in the traffic log is received from at least a second media automation application. The API stores the broadcast-related information, including the traffic log and the spot information, in one or more databases. The API also receives, from a media playout system, at least one request for the stored broadcast-related information. The media playout system is configured to insert media content into a media broadcast associated with the media station. The API provides the requested broadcast-related information to the media playout system, which inserts the media content into the media broadcast associated with the media station.

Abstract: An edge device remotely accesses cloud-based media automation services by pointing an interface of the edge device to a cloud-based sequencer. Broadcast logs defining a broadcast schedule and media files specified in the broadcast logs are obtained from the cloud-based sequencer, and local versions are stored in a storage device locally accessible to the edge device. Availability of the cloud-based sequencer is monitored, and if the cloud-based sequencer becomes unavailable, the interface of the edge device is pointed to a local sequencer instead of the cloud-based sequencer. The local sequencer emulates one or more media automation services normally provided by the cloud-based sequencer. In response to determining that availability of the cloud-based sequencer has been restored, the edge device's interface is re-pointed to the cloud-based sequencer.

Abstract: A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Abstract: An audience proposal creator determines a target cost per thousand (CPM) baseline and a demographics CPM baseline for a deal offering audience spots, determines deal constraints based on a target CPM reduction goal, a demographics CPM cap, and the established parameters, and generates rates by selling title for each selling title-weeks for a duration of pending deal, and for each network of a plurality of networks based on the constraints. Target and demo audience rating estimates are acquired based on the target and demo applicable to the advertiser for the plurality of networks, and a distribution of the audience spots generated across the plurality of selling title-weeks, and networks based on the target audience rating estimates, a budget for the pending deal, the generated rates, and available inventory per selling title-weeks, and a proposal generated based on the distribution. An audience processor schedules audience spots across one or more networks for selling title-weeks based on the distribution.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: A system is provided that determines reserve inventory units required for each promotional campaign. Based on one of input parameters to meet defined parameters for defined amount of inventory units for one or more specified durations until end of a specified upcoming time-frame, inventory units are allocated from defined amount of inventory units among each inventory utilization type. Incremental value of revenue from each inventory utilization type is optimized and ratings for previously allocated inventory units assigned to a promotion inventory utilization type is increased. Previously allocated inventory units are periodically adjusted and re-distributed among each inventory utilization type based on difference in demand value of an estimated inventory units forecasted for upcoming specified duration and actual value of the inventory units for current duration. Based on remaining inventory units and each inventory utilization type, schedule of a channel is communicated to a user device, via a network.

Abstract: A system is provided that generates values associated with a promotion impact measure for each promotional campaign based on historical data and an expected audience. A number of inventory units is determined for each promotional campaign that corresponds to a promotion inventory utilization type, based on a difference in estimated demand value for the inventory units for a specified duration for a scatter inventory utilization type and current value of actual demand units for the specified duration and a gross sum of the values for defined number of weeks of each promotional campaign and a plurality of constraints. Inventory units are allocated among each inventory utilization type based on number of inventory units for each promotional campaign to meet defined parameters for the defined amount of inventory units for specified durations until the end of the specified upcoming time-frame. Content is distributed via a channel based on allocated inventory units.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that generates a plurality of values associated with a promotion impact measure for each of the promotional campaigns based on historical data that is acquired and an expected audience. Inventory unit needs are determined for each of the promotional campaigns that corresponds to a promotion inventory utilization of a plurality of inventory utilization types, based on at least the generated plurality of values. The determined inventory units for each of the promotional campaigns are utilized to dynamically allocate inventory from a defined amount of inventory units among each inventory utilization types to meet a plurality of defined parameters for the defined amount of inventory units for one or more specified durations until an end of the upcoming time-frame.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that generates a plurality of values associated with a promotion impact measure for each of the promotional campaigns based on historical data that is acquired and an expected audience. Inventory unit needs are determined for each of the promotional campaigns that corresponds to a promotion inventory utilization of a plurality of inventory utilization types, based on at least the generated plurality of values. The determined inventory units for each of the promotional campaigns are utilized to dynamically allocate inventory from a defined amount of inventory units among each inventory utilization types to meet a plurality of defined parameters for the defined amount of inventory units for one or more specified durations until an end of the upcoming time-frame.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that generates a plurality of values associated with a promotion impact measure for each of the promotional campaigns based on historical data that is acquired and an expected audience. Inventory unit needs are determined for each of the promotional campaigns that corresponds to a promotion inventory utilization of a plurality of inventory utilization types, based on at least the generated plurality of values. The determined inventory units for each of the promotional campaigns are utilized to dynamically allocate inventory from a defined amount of inventory units among each inventory utilization types to meet a plurality of defined parameters for the defined amount of inventory units for one or more specified durations until an end of the upcoming time-frame.