公开(公告)号：US10754972B2

公开(公告)日：2020-08-25

申请号：US15884146

申请日：2018-01-30

Applicant: salesforce.com, inc.

Inventor： Arastun Efendiyev ,  Daniel Thomas Harrison ,  Jeffrey DiMuro

IPC: G06F21/62 ,  H04L29/06 ,  G06F16/958 ,  H04L29/08 ,  H04L9/08 ,  G06F16/27

Abstract: In various embodiments, a method of verifying a multi-factor administrator action may be performed. The method may include receiving, from a first user, an authentication request that indicates a requested access, where the first user has administrative privileges to perform the requested access. The method may further include identifying a second user that has administrative privileges to approve the requested access. A verification request may be to the second user. In response to receiving an approval message from the second user within a particular amount of time, an authentication response that indicates that the first user is authorized to perform the requested access may be sent to the first user.

公开(公告)号：US20230061947A1

公开(公告)日：2023-03-02

申请号：US17460132

申请日：2021-08-27

Applicant: salesforce.com, inc.

Inventor： Frank Caron ,  Peter O'Connell ,  Daniel Thomas Harrison ,  Arastun Efendiyev

IPC: G06Q30/00 ,  G06N20/00 ,  G06N5/02

Abstract: Systems, methods, and apparatuses for implementing a behavioral responsive adaptive context engine for emotionally-responsive experiences are disclosed. According to an exemplary embodiment, there is a system having at least a processor and a memory therein, wherein the system includes a non-transitory machine-readable storage medium that provides instructions that, when executed by the set of one or more processors, the instructions are configurable to cause the system to perform operations including: receiving a pipeline of omni-channel party data having two or more channels of data from different sources; training an artificial intelligence (AI) model using the received pipeline of omni-channel party data; associating the omni-channel party data with a selected user interaction at a graphical user interface (GUI) displayed to a user device; executing the AI model to predict a current emotional state to describe the selected user interaction at the GUI; executing the AI model to output modifications to the GUI configured to bring about a target outcome at the user interface, based on the current emotional state as predicted by the AI model; generating a modified GUI based on the output modifications from the AI model; and transmitting the modified GUI to display at the user device. Other related embodiments are disclosed.