원래 이름 기록: Sequoia Benefits and Insurance Services, LLC

A method includes receiving, by a semantic layer executed by a processing device, a first indication identifying an initialization, at a user device, of an instance of a graphical user interface (GUI) comprising one or more GUI elements; responsive to receiving the first indication, determining first semantic layer data associated with a first one or more data categories specific to a first GUI element of the one or more GUI elements; causing an execution of a database query to retrieve first data of the first one or more data categories associated with the first semantic layer data; generating a blended table comprising the first data of the first one or more data categories based on the first semantic layer data; and providing the first data from the blended table to render the first GUI element of the GUI for presentation at the user device.

Methods for training and using an artificial intelligence (AI) model to identify a producer and consumer match. The method to train the AI model includes generating training data and providing the training data to train the AI model on (i) a set of training inputs, and (ii) a set of target outputs. A first training input includes information identifying consumer data for a consumer associated with a software-as-a-service (SaaS) management platform. A second training input includes information identifying producer data for a producer that provides, via the SaaS management platform, one or more services to one or more consumers associated with the SaaS management platform. A third training input includes external factor data identifying one or more factors external to and that affect the consumer and producer. A first target output identifies whether the producer is a match for the consumer.

A subset of producers that are a potential match to provide services to a first consumer are identified among producers via software-as-a-service (SaaS) management platform. A first output indicating a likelihood the first consumer will consume the services provided by the subset of producers is obtained from a first trained artificial intelligence (AI) model. A score for each of the subset of producers is generated based on one or more outputs including the first output. The score indicates a likelihood that a respective producer of the subset of producers is a match for the first consumer. A notification indicating the scores for the subset of producers is provided.

A subset of producers that are a potential match to provide services to a first consumer are identified among producers via software-as-a-service (SaaS) management platform. A first output indicating a consumer cluster identifier corresponding to the first consumer is obtained from a first trained artificial intelligence (AI) model. The consumer cluster identifier identifies, among multiple consumer clusters, a first consumer cluster that corresponds to the first consumer. An estimate that a response from a first producer of the subset of producers will satisfy consumer preferences associated with the first consumer cluster is generated. A score for each of the subset of producers is generated based the estimate. The score indicates a likelihood that a respective producer of the subset of producers is a match for the first consumer. A notification indicating the scores for the subset of producers is provided.