公开(公告)号：US12105725B2

公开(公告)日：2024-10-01

申请号：US17589778

申请日：2022-01-31

Applicant: Salesforce, Inc.

Inventor： Zineb Laraki ,  Penny Tselikis ,  Till Christian Bergmann ,  Michael Weil ,  Christian Posse ,  Jason Teller ,  Alex Edelstein ,  Sarah Joann Aerni ,  Mehmet Ezbiderli

IPC: G06F16/25 ,  G06F16/23 ,  G06F16/2457 ,  G06N20/00

CPC classification number: G06F16/254 ,  G06F16/23 ,  G06F16/2457 ,  G06N20/00

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A system may identify, from an event log including log entries for a tenant of a multi-tenant database system, a pattern of log entries corresponding to main actions and satisfying a frequency threshold. The system may identify log entries associated with the pattern and corresponding to the main actions, detailed actions, or both. The system may retrieve data corresponding to a history field of a data object associated with the pattern and may determine at least a portion of a process flow for the data object according to the pattern and based on the log entries and the historical data. The process flow may include operations to perform using the data object. In some cases, the system may transmit, to a user device, an indication of the portion of the process flow for user review and implementation.

公开(公告)号：US11983650B2

公开(公告)日：2024-05-14

申请号：US17589763

申请日：2022-01-31

Applicant: Salesforce, Inc.

Inventor： Sarah Joann Aerni ,  Zineb Laraki ,  Penny Tselikis ,  Till Christian Bergmann ,  Michael Weil ,  Christian Posse ,  Jason Teller ,  Alex Edelstein ,  Mehmet Ezbiderli

IPC: G06Q10/0631

CPC classification number: G06Q10/063112

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. An intelligent routing system may route a data object to a path in a process flow using a model, such as a machine-learned model. The system may receive a first data object and may route the first data object along a path of the process flow using a random routing procedure, for example, for model training. The routing may involve performing operations based on the path and the features of the first data object. The system may update one or more models based on an outcome of the operations. Following training, the system may insert a model into the process flow at a decision point between paths. The system may receive a second data object and may route the second data object to a path using the model and based on features of the second data object.

公开(公告)号：US20230259824A1

公开(公告)日：2023-08-17

申请号：US18140400

申请日：2023-04-27

Applicant: Salesforce, Inc.

Inventor： Mayukh Bhaowal ,  Leah McGuire ,  Kin Fai Kan ,  Christopher Rupley ,  Xiaodan Sun ,  Michael Weil ,  Subha Nabar

IPC: G06N20/00 ,  G06N5/045 ,  G06F18/21 ,  G06F18/214

CPC classification number: G06N20/00 ,  G06N5/045 ,  G06F18/2185 ,  G06F18/2148

Abstract: A set of data for training a machine learning system can be modified to improve its performance. An item of information can be transmitted. A message can be transmitted that includes an explanation of a determination, by the machine learning system, to transmit the item of information from among a plurality of items of information. A first set of data can have been used to train the machine learning system. A signal can be received that includes an indication of a usefulness of the message, to a user of a user device, in making a decision to perform an action based on a knowledge associated with the item of information. The first set of data can be modified, in response to a receipt of the signal, to produce a second set of data. The machine learning system can be caused to be trained using the second set of data.