Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. The supply chain management interfaces may provide visualizations of one or more standardization constructs associated with an organization and locations thereof. A standardization construct may be generated using supply chain records associated with the organization and locations thereof. The visualizations of the one or more standardization constructs may be adjusted at a user interface. The adjusted one or more standardization constructs may be indicative of ways in which the one or more standardization constructs may be improved.

Abstract: An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.

Abstract: Various examples are directed to systems and methods for identifying records at a database corresponding to a target determination object. A system may access request data that indicates a source table at the database and a target determination object. The system may use stored knowledge data to generate first prompt data comprising at least one prompt to be provided to a trained computerized model to cause the trained computerized model to return a set of determination paths to the target determination object and execute the trained computerized model using the first prompt data. The system may determine a set of records from the source table that are associated with the target determination object using the set of determination paths.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. A frequency of occurrence for each unique combination of a use attribute and a product attribute for various supplies may be determined. A frequency table containing each unique combination may be generated as well as one or more association rules. A level of confidence and a level of lift may be determined for each of the one or more association rules, both of which may be used to generate a score for each unique combination that may be used to rank each unique combination. The ranked unique combinations may then be provided to a supply chain management interface and a database.

Abstract: Described herein are methods, systems, and apparatuses for storage analysis and management using computer vision techniques. An imaging device may capture a series of images of a plurality of containers. The series of images may be analyzed by a classification model to determine a current capacity of each container. When the classification model determines that a current capacity of a container(s) satisfies a threshold(s), at least one remedial action may be performed.

Abstract: An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.

Abstract: Described herein are methods, systems, and apparatuses for storage analysis and management using computer vision techniques. An imaging device may capture a series of images of a plurality of containers. The series of images may be analyzed by a classification model to determine a current capacity of each container. When the classification model determines that a current capacity of a container(s) satisfies a threshold(s), at least one remedial action may be performed.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving a request to write a first data object to an object database. The method also includes, responsive to a determination that the first data object is a large data object, by the computing device, serializing the first data object, compressing the serialized first data object into a format that can be stored in the object database, and saving the compressed serialized first data object within the object database. The method may further include, by the computing device, extracting one or more fields which are queryable from the first data object and saving the one or more queryable fields with the compressed serialized first data object within the object database.

Abstract: An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. The supply chain management interfaces may provide visualizations of one or more standardization constructs associated with an organization and locations thereof. A standardization construct may be generated using supply chain records associated with the organization and locations thereof. The visualizations of the one or more standardization constructs may be adjusted at a user interface. The adjusted one or more standardization constructs may be indicative of ways in which the one or more standardization constructs may be improved.

Abstract: A method for use in a computing system, comprising: outputting, by the computing system, a product configuration menu that specifies a first set of product components; outputting, by the computing system, information associated with a first product, the first product including the first set of product components; detecting, by the computing system, a user input that specifies a second set of product components, the user input being received via the product configuration menu; selecting, by the computing system, a second product that includes the second set of product components, the second product being selected by performing a search of a product distance data structure to identify a plurality of candidate products that include the second set of product components, obtaining a respective product distance score for the first product and each of the plurality of candidate products, and selecting one of the candidate products as the second product.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. The supply chain management interfaces may provide visualizations of one or more standardization constructs associated with an organization and locations thereof. A standardization construct may be generated using supply chain records associated with the organization and locations thereof. The visualizations of the one or more standardization constructs may be adjusted at a user interface. The adjusted one or more standardization constructs may be indicative of ways in which the one or more standardization constructs may be improved.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. A frequency of occurrence for each unique combination of a use attribute and a product attribute for various supplies may be determined. A frequency table containing each unique combination may be generated as well as one or more association rules. A level of confidence and a level of lift may be determined for each of the one or more association rules, both of which may be used to generate a score for each unique combination that may be used to rank each unique combination. The ranked unique combinations may then be provided to a supply chain management interface and a database.

Abstract: A method for use in a computing system, comprising: outputting, by the computing system, a product configuration menu that specifies a first set of product components; outputting, by the computing system, information associated with a first product, the first product including the first set of product components; detecting, by the computing system, a user input that specifies a second set of product components, the user input being received via the product configuration menu; selecting, by the computing system, a second product that includes the second set of product components, the second product being selected by performing a search of a product distance data structure to identify a plurality of candidate products that include the second set of product components, obtaining a respective product distance score for the first product and each of the plurality of candidate products, and selecting one of the candidate products as the second product.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. A frequency of occurrence for each unique combination of a use attribute and a product attribute for various supplies may be determined. A frequency table containing each unique combination may be generated as well as one or more association rules. A level of confidence and a level of lift may be determined for each of the one or more association rules, both of which may be used to generate a score for each unique combination that may be used to rank each unique combination. The ranked unique combinations may then be provided to a supply chain management interface and a database.

Abstract: Described herein are methods, systems, and apparatuses for storage analysis and management using computer vision techniques. An imaging device may capture a series of images of a plurality of containers. The series of images may be analyzed by a classification model to determine a current capacity of each container. When the classification model determines that a current capacity of a container(s) satisfies a threshold(s), at least one remedial action may be performed.

Abstract: An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.

Abstract: A rolling electronic payment reservation and reservation system is provided. In aspects, reservations and payment capture for different items on a credit card (or other payment instrument) are split based on the type of item, and rolling, multiple credit reservations are made for different items on the same, single order.

Abstract: Embodiments regard composite batching to manage throughput for online commerce applications. An embodiment of one or more storage mediums include instructions for processing online transaction requests for an order management service to generate transaction records, the online transaction requests including at least a first type of transaction and a second type of transaction; accumulating the transaction records in a storage; automatically determining a batch size for application program interface (API) requests for the transaction records and a frequency rate for the API requests based at least in part on a throughput rate for the processed transaction requests; and process the API requests to the order management service.

Abstract: An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.