Darius Baru | Oct 16, 2024
The world of business has undergone a significant transformation with the rise in virtual meetings, and this trend continues to gain momentum. According to AssemblyAI, the adoption of virtual meetings leaped from 48% to 77% between 2000 and 2022. One major development in this realm is AI summarization, which aims to shorten lengthy texts or transcripts into their essential components.
These summaries are tailored to meet specific requirements, such as AssemblyAI’s Conversational Summarization model, specifically designed for handling conversational data from interviews and customer service calls. AI summarization can be divided into two main categories: Extractive and Abstractive.
The former selects crucial sentences from the original text without altering the language, while the latter generates fresh summaries that encapsulate the crux of the text, possibly employing new linguistic constructs. The advantages of AI summarization, particularly in virtual meetings, are considerable.
It facilitates quicker quality assurance and call evaluations, identifies key trends, enhances record-keeping by generating accurate summaries, and improves overall engagement by eliminating the need for in-depth note-taking. To leverage AI for meeting transcript summarization, individuals with coding proficiency can opt for Python scripts or AssemblyAI’s LeMUR Large Language Model (LLM) framework.
For those without programming skills, tools like ChatGPT can generate summaries without any coding knowledge. Numerous companies are offering advanced AI tools for meeting summarization. Fireflies.ai, for instance, provides AI-powered voice assistants that integrate with platforms like Zoom and Google Meet, delivering detailed meeting overviews and action items.
Other prominent players include Sembly AI and Grain, which offer transcription, note-taking, and insightful analysis of meetings.
