Jeremiah Owyang - Social Audio Analytics and Constituent Groups - Voicebot Podcast 195 - burst 07

Automatic TRANSCRIPT

I want to come back to this idea social audio analytics and maybe the social audio management system this is going to be near and dear to the heart to a lot of the people who listen to this podcast because their space is accustomed to taking raw audio content transforming taxed analyzing it Actually putting it against other services and potentially returning information. So i wanted to explore that with you. A little bit we. We haven't seen that publicly yet and any of these social audio spaces you expect. People are actually doing it today. How do you think that that's going to play out. Do you expect this to be predominantly the platforms are going to try to control it and use this as a feature and trying to block other people or do you think it's mostly going to be third parties coming in and somehow getting the feed whether through direct. Api or from a rogue angle and then being able to provide that data to people who are interested in it. Yes so. I think there's maybe four constituent groups to think about here. Let's try to break this down. And i don't have all the answers here. I'm speculating so there are the platforms themselves twitter spaces and clubhouse and facebook. I think they are so twitter. Spaces already has real time voice to text translation into english which is on the lower third for some speakers. It's a three second delay about ninety percent accuracy. Ucla right yes okay. The second group would be the Government agencies and spies They're probably already doing it. But we'll never know. Group will be the traditional social media Analytics companies like salesforce and adobe salesforce acquired radian six In two thousand eleven ten years ago For three hundred million and their job was to grab all of the text based social media content. That was being produced at a rapid pace and make insights out of it and sell to brands for seven. Figure deals annually on what is being set in their market and give them analysis on share voice sentiment byproduct by region by country by network by individual by they produce. I was involved heavily with that industry now. The fourth group the fourth group i think is the one that will deploy so i. I don't think salesforce. And adobe wanna risk breaking the terms of service against twitter and risk that access that they already have in their. Api I don't think they wanna be scraping that content and also risk privacy concerns especially when a democratic administration is very concerned about privacy when it comes to social media as well as on the right hand side of the government as well they're even more concerned about suppression of so i don't think those big giant tech companies Adobe salesforce and oracle to do an ibm want to do that. So i think it's gonna be the fourth category which will be roguish punkish startups that are going to rip the content off with botts at a recording. The information then conduct voice to text analysis. And then do the other things that i already mentioned with sentiment in mining and influence analysis network. So i think it's going to be done under the covers of darkness fair enough and do you believe that the botts will be listed as users and basically some sort of fake user or are they going to be attached to a real users use. The system could be both. I mean there are. People are reporting data out of social audio by using. You know i rig systems and connecting to their ipod to other systems as well and just you know exporting that data. That's already happening.

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