Right now, we’re having this call and running Otter on my laptop where I’m using Zoom, so while we’re talking, all this data is recorded by my laptop, but it’s sent to the Otter server in the cloud. This is why you can see very high accuracy with very high performance in terms of a real-time transcription. We actually created everything by ourselves. Yes, we actually created the speech recognition technologies ourselves. So, the solution that you found for this is essentially you have incorporated text-to-speech technology and you are able to capture conversations and create an automatic transcription of that conversation in text format, right? But most companies, it’s just entirely, it’s gone, except for what a certain person takes notes at. Yeah, right now it just goes off after the meeting, it’s not capturable unless you’re working at like Blackwater or some company that has a…īridgewater, Bridgewater Capital, who has the concept of recording every meeting they have and providing most of the notes publicly to the members of their company. You can take notes or you can remember part of it, but most of the data actually just disappeared in the air.
We look at this space and say, hey, you know, a few years ago when we looked at this, where is the data? People spend 30% or 40% of their time talking or listening. So, there are a lot of studies that show that people in enterprises spend 30%, even 40%, of their time in all kinds of meetings. Everybody has tons of meetings these days, either in-person meetings in conference rooms or you just have a stand-up, quickly, every day, or you have phone calls, you have video conferences. Think about enterprises, small and medium businesses or large businesses. You can either use it individually for yourself or use it for a team in a team meeting scenario. Otter.ai is a product that helps people keep track of their conversations, their meetings. So, let’s let our guest introduce himself. I think you’re going to be really impressed with how far advanced this technology is, the AI, and I think you’re going to want to go and sign up for this service after you hear what’s happening in this space. This week, we follow the trend, and in our third interview, we talk to a technologist who believes that in many cases, the machine is going to be able to do the work for us. In our last episode, we talked to the founder of a company who’s looking to transform work as we know it by distributing work around the globe so people can live in flexible areas, and the first type of work he’s looking to distribute is AI with human transcription services. We started with a look into how transcription is traditionally done, what the human being actually does for this type of work.
If you haven’t checked out the first two episodes of the series, listen to this one and then go back and listen to the other two. I’m Michael Stevens, and this week on Globally Speaking, we are continuing our series, number three of three, on transcription. Language Technology Consulting and Audits.International Market Research and Competitive Analysis.Business Growth and Expansion (for Language Service Providers).Global Content: Buyer Behavior and International Products.Translation Process and Localization Program Consulting.
0 kommentar(er)
