USING AN ARTIFICIAL INTELLIGENCE MODEL TO IDENTIFY A PRODUCER AND CONSUMER MATCH
개요
출원인
Sequoia Benefits and Insurance Services, LLC
발명자
Dustin Steven Schodt; Joseph David Hubbs; Ruth Buel; Dennis Dale Warner, JR.; Sean Beckstead; Martina Lendova Huamonte; Fran Glaser; Eric Stephen Sankner; Maya Louise Estrada; David Aaron Finklestein; Laura Katharina Bergner; Marissa Kelly Lyons, JR.; Jacqueline Gonzalez
IPC 분류
CPC 분류
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.
원문 (중국어)
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.