公开(公告)号：US20220405775A1

公开(公告)日：2022-12-22

申请号：US17807937

申请日：2022-06-21

申请人： C3.ai, Inc.

发明人： Thomas M. Siebel ,  Houman Behzadi ,  Nikhil Krishnan ,  Varun Badrinath Krishna ,  Anna L. Ershova ,  Mark Woollen ,  Ruiwen An ,  Gabriele Boncoraglio ,  Aaron James Christensen ,  Kush Khosla ,  Hoda Razavi ,  Ryan Compton

IPC分类号： G06Q30/02 ,  G06Q30/00

摘要： A method includes curating CRM data by employing a type system of a model-driven architecture and selecting an AI CRM application from a group of applications. Each CRM application may generate one or more use case insights with one or more objectives. The method also includes obtaining one or more data models including an industry-specific data model from the curated CRM data and orchestrating a plurality of machine learning models for the selected CRM application with the obtained data model(s) to determine one or more machine learning models effective for at least one objective of the selected CRM application. The method further includes applying the determined machine learning model(s) and the obtained data model(s) to predict probabilities that optimize the at least one objective and using the predicted probabilities to apply at least one of the one or more use case insights that optimizes the at least one objective.