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1 billion meetings and counting: Otter requires on business conference automation with OtterPilot AI


Feb 14, 2023
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Conferences are generally the bane of enterprise employees’ existence, but what if it didn’t have to be that way?

Which is the audacious goal that Sam Liang, co-founder and CEO of AI startup Otter AI has set for his corporation. Otter is an AI-driven voice transcription provider that in the latest a long time has additional a collection of abilities made to enable boost conferences, which include integration with popular collaboration resources this sort of as Zoom and Microsoft Outlook.

Liang permits his Tesla to push him to the place of work each and every working day with its autopilot aspect — and he needs to bring the identical kind of autonomous capacity to Otter to aid reduce some of the time eaten by modern-day meetings.

To that conclusion, Otter now declared its OtterPilot performance. This will be ready to routinely be a part of meetings, acquire notes that include all slides, then supply an correct summary. OtterPilot extends Otter’s AI assistant capabilities released in 2022.


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“I devote actually 60 to 80% of my time in conferences, and I’d like to have AI make my meetings perform far better, so that it can lower my strain,” Liang instructed VentureBeat. “This is why we are releasing OtterPilot to automatically travel meetings. And, this is just the starting. We are dwelling in a incredibly interesting period with AI breakthroughs.”

Lessons discovered from 1 billion meetings

The current market for AI-powered voice transcription and assembly solutions is progressively aggressive. 

Earlier this thirty day period, Microsoft announced that it was integrating OpenAI driven abilities into Microsoft Groups High quality, which includes mechanically generated meeting notes. Cisco and Google have also actively rolled out AI features to enable company customers automate much more conference routines.

The overall market place for meeting expert services and voice transcriptions has developed significantly, many thanks in section to the pandemic. That desire has assisted Otter declare a major milestone — 1 billion transcribed meetings. 

As a consequence, said Liang, “We have a huge volume of meaty details.”

He emphasized that all the assembly minutes so far transcribed assist to advise and teach Otter’s AI voice-to-text transcription product so that it can become significantly accurate. He famous that the concentrate for Otter is on conversational information, which permits each transcription as well as assembly summaries now with OtterPilot.

Presently Otter generates a assembly summary for the total assembly, but in the around foreseeable future Liang mentioned it will also produce a summary for each and every speaker. As these types of, if a consumer skipped a conference, they can drill down for a summary of what a precise speaker experienced to say.

The long run Otter: Sentiment examination and ChatGPT-form expert services?

The massive volume of conferences that Otter has transcribed will also help the organization to offer even additional capabilities in the potential.

Liang stated that Otter has developed its possess AI designs, optimized for conversational information in conferences. On top of that, Otter is constructing its personal reinforcement mastering system to assistance evolve its present model’s accuracy and help new solutions, possibly together with sentiment assessment and even a ChatGPT-form of chatbot for browsing and receiving answers on assembly info.

With OtterPilot, audio and presented slides are captured mechanically. In the upcoming, video may well be integrated as effectively, explained Liang. This AI features could enable read through a person’s body language and facial expressions to superior seize and have an understanding of what really happened in a meeting.

“What’s distinctive about the conference house is that folks speak to every single other and there is a great deal of interaction,” explained Liang. “We want to learn how men and women react to each individual other.”

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