C3.ai, Inc. patent applications on May 8th, 2025
Patent Applications by C3.ai, Inc. on May 8th, 2025
C3.ai, Inc.: 2 patent applications
C3.ai, Inc. has applied for patents in the areas of G06Q30/0201 (1), G06Q30/01 (1), G06Q30/0202 (1), H04L41/14 (1), G06F16/901 (1) G06Q30/0201 (1), H04L41/14 (1)
With keywords such as: data, crm, application, historical, learning, machine, objective, models, obtained, and selected in patent application abstracts.
Patent Applications by C3.ai, Inc.
Inventor(s): Thomas M. Siebel of Woodside CA US for c3.ai, inc., Houman Behzadi of San Francisco CA US for c3.ai, inc., Nikhil Krishnan of San Carlos CA US for c3.ai, inc., Varun Badrinath Krishna of Mountain View CA US for c3.ai, inc., Anna L. Ershova of Redwood City CA US for c3.ai, inc., Mark Woollen of San Mateo CA US for c3.ai, inc., Ruiwen An of Jersey City NJ US for c3.ai, inc., Gabriele Boncoraglio of Redwood City CA US for c3.ai, inc., Aaron James Christensen of Redwood City CA US for c3.ai, inc., Kush Khosla of Redwood City CA US for c3.ai, inc., Hoda Razavi of San Jose CA US for c3.ai, inc., Ryan Compton of San Francisco CA US for c3.ai, inc.
IPC Code(s): G06Q30/0201, G06Q30/01, G06Q30/0202
CPC Code(s): G06Q30/0201
Abstract: 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.
Inventor(s): Henrik Ohlsson of San Francisco CA US for c3.ai, inc., Umashankar Sandilya of Palo Alto CA US for c3.ai, inc., Mehdi Maasoumy Haghighi of Redwood City CA US for c3.ai, inc.
IPC Code(s): H04L41/14, G06F16/901, H04L41/12
CPC Code(s): H04L41/14
Abstract: provided herein are methods and systems for determining a historical state of a dynamic network. the methods may comprise continuously obtaining data associated with a system from a plurality of different data sources; constructing a full history dynamic network (fhdn) of the system using the data; and providing a state of the system for a historical time instance in response to a query of the fhdn for the historical time instance.