Twilio Inc.

Oracle International Corporation

Umair Akeel

Alfredo Láinez Rodrigo

Luke Percival De Oliveira

Tyler Cole

Nicolas Acosta Amador

Byeongung Ahn

Robert Paulsen

Andrew W Robinson

Liat Barda Dremer

Christer Jan Erik Fahlgren

Sahil Kumar

Jacob Ofir

Christopher Swenson

A method and system provide for receiving the first request to generate a pipeline flow, identifying a user account based on the first request, associating the pipeline flow with the user account, receiving a second request to process an action associated with the user account, and processing the action including applying the pipeline flow to select the component configuration based on the parameter.

Pipeline flow management for calls

Methods, systems, and computer programs are presented for formatting raw text. One method includes an operation for accessing raw text comprising words corresponding to one or more sentences. The raw text is lowercase text without any punctuation. Further, the method includes operations for creating a plurality of sub-words corresponding to the raw text, and for generating, by a machine-learning (ML) model, an output for each sub-word based on the created sub-words. The output for each sub-word indicates a formatting operation for the corresponding sub-word. The method further includes an operation for generating, based on the formatting operations in the outputs for the sub-words, formatted text corresponding to the raw text. The formatted text is text with correct grammar, proper punctuation, and proper capitalization according to a meaning of words spoken by a speaker associated with the raw text.

Text formatter

Methods, systems, and computer programs are presented for searching the content of voice conversations. The conversations are translated into text and analysis of the conversation is performed to identify information in the conversation. The information identified includes turns taking data in the conversation and states identified within each state. A powerful user interface (UI) is provided to review the conversations and add annotations that tag the different turns. Additionally, parameter values are extracted from the text. A powerful search engine is provided with multiple search options, such as searching for text, searching by state within the conversation, searching by parameters extracted from the conversation, or a combination thereof.

Transition-driven transcript search

Methods, systems, and computer programs are presented for classifying information in conversations and extracting information from the conversations. An Engagement Intelligence Platform (EIP) analyzes transcripts of conversations to find different states and information associated with each of the states (e.g., identification that the interest rate was quoted, and the quoted value of the interest rate). The EIP analyzes the conversation and labels (e.g., 'tags') the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs. Further, the EIP extracts data from the conversation (e.g., the interest rate is “3%”).

Tool for categorizing and extracting data from audio conversations

Methods, systems, and computer programs are presented for secure data encryption in a multi-tenant service platform. One method includes an operation for detecting a write request to write index data to storage. The write request is from a first user from a group of users, and the storage is configured to store index data for the group of users. Further, the method includes operations for authenticating that the first user is approved for access to the storage, and for identifying a first encryption key for the first user, where each user from the group of users has a separate encryption key. Further yet, the method includes encrypting the index data with the first encryption key and storing the encrypted index data in the storage.

Securing data in multitenant environment

Disclosed is an approach for implementing a system, method, and computer program product for a marketing automation tool that implements an advanced fairness scheme for resources. The order that work items are deployed is carefully managed to ensure that customers are treated fairly. This prevents and/or minimizes any customer from being adversely affected by other customers.

Method and system for implementing a cloud based email distribution fairness algorithm

Disclosed is an approach for implementing an improved system, method, and computer program product for a marketing automation product, where an external content service is integrated with the marketing automation tool.

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San Ramon, CA, United States of America

Umair Akeel