Twilio had five patents in future of work during Q2 2024. Twilio Inc filed a patent for a method of abstractive summarization of text by training a machine-learning model to add words to a running summary. Another patent describes systems and methods for a work distribution service on a multi-tenant platform, where priorities are assigned to work items based on attributes and workflow instructions provided by external systems, and workers are assigned based on these priorities and worker states. GlobalData’s report on Twilio gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Twilio had no grants in future of work as a theme in Q2 2024.
Recent Patents
Application: Language model for abstractive summarization (Patent ID: US20240152689A1)
The patent filed by Twilio Inc. describes methods, systems, and computer programs for abstractive summarization of text by treating sequence transduction as a language modeling problem. The method involves training a machine-learning program to create a model that estimates a word to be added to a running summary of the text being summarized. This model is then used to iteratively add new words to the summary based on the source text and the existing summary, ultimately storing the running summary as the final summary of the text.
The patent claims detail a method, system, and non-transitory machine-readable medium for accessing text, inputting it into a machine-learning model trained to output a word to be added to a summary, and incorporating the outputted word into the summary. The system initializes the summary, presents portions of the summary with added words, and is trained based on multiple conversations and summaries. The method and system are designed to summarize text, particularly in conversational contexts, by leveraging machine learning to generate concise and accurate summaries based on the input text.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
