Asana, Inc. (20240378560). SYSTEMS AND METHODS TO GENERATE RECORDS WITHIN A COLLABORATION ENVIRONMENT BASED ON A MACHINE LEARNING MODEL TRAINED FROM A TEXT CORPUS simplified abstract
SYSTEMS AND METHODS TO GENERATE RECORDS WITHIN A COLLABORATION ENVIRONMENT BASED ON A MACHINE LEARNING MODEL TRAINED FROM A TEXT CORPUS
Organization Name
Inventor(s)
Steve B. Morin of San Francisco CA (US)
SYSTEMS AND METHODS TO GENERATE RECORDS WITHIN A COLLABORATION ENVIRONMENT BASED ON A MACHINE LEARNING MODEL TRAINED FROM A TEXT CORPUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378560 titled 'SYSTEMS AND METHODS TO GENERATE RECORDS WITHIN A COLLABORATION ENVIRONMENT BASED ON A MACHINE LEARNING MODEL TRAINED FROM A TEXT CORPUS
The patent application describes systems and methods for generating records within a collaboration environment.
- Manage environment state information within a collaboration environment
- Present a user interface for uploading digital assets like recorded audio and video content
- Obtain input information defining the digital assets through the user interface
- Generate transcription information characterizing the recorded audio and video content
- Provide the transcription information to a trained machine-learning model
- Obtain output from the machine-learning model to define new records based on the transcripts
Potential Applications: - Content creation and management platforms - Transcription services - Collaboration tools for remote teams
Problems Solved: - Streamlining the process of generating records from audio and video content - Enhancing collaboration by providing accurate transcripts of recorded content
Benefits: - Improved efficiency in managing collaboration environments - Enhanced accessibility to recorded audio and video content - Facilitates better communication and information sharing within teams
Commercial Applications: Title: "Enhanced Collaboration Record Generation System" This technology can be used in content management systems, transcription services, and collaboration tools for various industries such as media, education, and business.
Questions about the technology: 1. How does this technology improve the workflow in collaboration environments? 2. What are the potential implications of using machine-learning models for record generation in this context?
Original Abstract Submitted
systems and methods to generate records within a collaboration environment are described herein. exemplary implementations may perform one or more of: manage environment state information maintaining a collaboration environment; effectuate presentation of a user interface through which users upload digital assets representing recorded audio and/or video content; obtain input information defining the digital assets input via the user interface; generate transcription information characterizing the recorded audio and/or video content of the digital assets; provide the transcription information as input into a trained machine-learning model; obtain the output from the trained machine-learning model, the output defining one or more new records based on the transcripts; and/or other operations.
