Home News Otter is introducing a meeting-oriented AI chatbot

Otter is introducing a meeting-oriented AI chatbot

by WeeklyAINews
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Computerized transcription service Otter introduced a brand new AI-powered chatbot right now that can let contributors ask questions throughout and after a gathering and assist them collaborate with teammates.

Otter AI Chat will provide help to catch as much as the assembly in case you ask “I’m late to the assembly! What did I miss?” or generate a follow-up e-mail with motion factors after the assembly is completed. The brand new chatbot helps customers get contextual solutions based mostly on what was mentioned within the assembly.

In March, Zoom introduced an identical characteristic for its customers to offer assembly summaries in case they’re late.

Otter AI Chat get answers feature

Picture Credit: Otter

The corporate mentioned that Otter’s bot can present solutions to a number of folks — in contrast to bots like ChatGPT, which concentrate on 1:1 conversations. Teammates may also tag one another for clarification or motion objects. Till now, Otter allow you to try this by way of feedback on the transcript.

Otter talked about that it’s transcribing over 1 million spoken phrases each minute. However it didn’t specify if the Otter AI Chat was skilled on that information.

Otter Collaborate with AI

Picture Credit: Otter

The corporate mentioned that the Otter AI Chat characteristic might be rolled out to all customers within the coming days. Otter added that AI chat information gained’t be shared with third events.

In February, the corporate launched the OtterPilot bot that mechanically emailed assembly summaries to contributors. The bot additionally inserts photographs of essential slides within the assembly notes and transcription. With the launch of Otter AI Chat, the corporate is making an attempt to offer an intelligence layer on high of the prevailing AI-powered notetaking characteristic to let customers ask advanced questions.

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AI-generated assembly notes and summaries in several codecs have been a reasonably widespread characteristic in meeting-related instruments as a result of current progress of various Giant Language Fashions (LLMs). Assembly firms try to offer much more worth with chatbots that may present insights by leveraging assembly information.

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