The UnNoticed Entrepreneur

How Earth.ai is in orbit providing bias free insight on what is driving behaviour.

November 02, 2020 Jim James
The UnNoticed Entrepreneur
How Earth.ai is in orbit providing bias free insight on what is driving behaviour.
Support The UnNoticed Entrepreneur
Become a supporter of the show!
Starting at $3/month
Support
Show Notes Transcript

It's important to break out of our own media bubbles and take a data-driven look at reality , which helps us to make better quality decisions about a whole host of issues; not least communication. Dr John Rickets, CEO of Significance Systems talks about the power of narratives and the machine learning platform which they have developed which enables access to  a bias-free view on what really drives behaviour.

If you like this podcast, then subscribe to our newsletter here
Please visit our blog post on PR for business please visit our site:
https://www.eastwestpr.com/blogs/ 

Create content using AI - Trylately!
Automatically generate social posts from videos and podcasts into dozens of social posts.

Support the Show.

Am I adding value to you?

If so - I'd like to ask you to support the show.

In return, I will continue to bring massive value with two weekly shows, up to 3 hours per month of brilliant conversations and insights.

Monthly subscriptions start at $3 per month. At $1 per hour, that's much less than the minimum wage, but we'll take what we can at this stage of the business.

Of course, this is still free, but as an entrepreneur, the actual test of anything is if people are willing to pay for it.

If I'm adding value to you, please support me by clicking the link now.

Go ahead, make my day :)

Support the show here.

as a marketer, what you actually want to be doing is you want to grab hold or become a valued part of a narrative that already exists, because nobody's got the time or the money to go and create a whole new narrative anymore. And that is dr. john Ricketts, the CEO, and founder of the earth AI significant systems. It's a machine learning platform that helps you to understand all the narratives taking place, out there around a particular issue or topic. And I'm talking with dr. john Ricketts today, who's based in Tokyo, to share with us about how his platform enables us to look over the walls from the content that we normally get fed, and see really the trends so we can see what's going on and make plans and make a better decision about the content that we share. And the places that we share it, listen to john. Yeah, we have a platform as the call these days. And what we're able to do is is to look at the whole of the Internet, and really able to take the look at narratives in a very, very deep way. So we're able to look at emotions around the narratives, were able to look at how the narrative change and evolve. Over time, were able to find which of the strongest stories in a particular sector or a category or what's the strongest brands? And then we apply that in lots of different fields. it tell us in general, john, when you say lots of different fields, who's using this kind of is that a social listening? would you classify it as social listening tool? No, so social is part of what we look at. But social is really a function of, of the particular narrative, right? So in some narratives, socials important and another narrative social isn't important. What's more important is that part of the reason the world is turned to sh it is, is the fact that everybody's living in media bubbles these days. Okay, now, even a few years ago, that was still a little bit of a nuanced conversation, and you still have people saying, Well, I don't have everybody else does, but I don't. But it's pretty clear. Now. We're living in these media bubbles. And these are pretty much by design, right? Google, Facebook, your newspaper, or TV channels, the wrong media bubbles. So it's very, very hard to actually know what reality looks like. Now, anybody who's a business owner, or a CEO, or been in a managerial position, they'll know how difficult it is to know what was actually going on. We could just because of the reporting mechanism, right? People tell you what they want you to hear, well, this is happening about everything, right? Because what you hear is what you're going to click on. And that's the business model. So these media bubbles are really, really important now. Because we're disconnected from reality, we start to make poorer and poorer quality decisions. And it doesn't matter if those quality decisions around elections, or what's your investment strategy going to be for growth, or what alpha is going to look like in the capital market, or whether you have a crisis or you don't have a crisis, or whether your market research is telling you anything useful, or pop? It's, it's a it's a problem everywhere. And that's what we will look at, we're able to look past the media bubbles, find out what emotions look like around that narrative, emotions describe future behaviour. And we're able to look at the narrative and understand the equity around it. So, when you say the narrative your stories, your particular brand, because when I was looking at significance systems and the reporting that you could do, I could put in a company brand for example, and see the conversations, the language and the terminology used about that brand and displayed graphically. So can you just take us through for example, a case study, yeah, they should be it could be brand weak, or it could be a positioning opportunity. Or it could be an issue, or it could be an asset. It could be a need, whether met or unmet narratives describe the world. Anybody who's been involved in communications knows full well that narratives really, really are a very important part of what makes the world go round, they generate tremendous value, they steer the directions and the decisions that we make as societies and as people. And this is this is intuitively understood but poorly measured historically. Whereas if you go to the world of where things are really well measured. Let's take capital markets where the exam as an example, may tremendous amount of detail in terms of how things around assets and balance sheets and technical measures how they're measured. But the whole notion that emotion, the whole notion that emotion, or narratives could impact value is quite a novel idea. Still one that isn't fully believed. But the last few years, I mean, you know, it's a nonsense to say that narratives don't impact markets, right? Trump, Elon Musk? I mean, it's been an interesting book, quite recently, Nobel laureate in economics, wrote, actually called narrative economics. And what he's doing is very longhand version of sort of what we're doing at the machine level. So looking at the stories around particular, things like subprime or particular assets, etc, etc. And what do you say narratives, these driven by individuals or by policies and communications? Or are they kind of just happening and trending kind of irrespective because that's an interesting, that's right, depends on the narrative. I think as a, as a marketer, what you actually want to be doing is you want to grab hold, or become a value part of a narrative that already exists, because nobody's got the time or the money to go and create a whole new narrative anymore. So there is nothing new under the sun. And you find a narrative that is close to the positioning that you want, and you become a valued part of that. And that's how you as if you look at the brands that are starting to become successful in the world, they're obviously the brands that understand that they have to be a relevant part of culture. And if you fail to be a relevant part of culture, in today's world, you fail to be relevant, other than a purely transactional level. And I was interested in your latest newsletter, in your report, you talk about resiliency, and about the link now between sort of COVID resiliency and family. That's right. So that's what we've been doing here with the University of Tokyo. So we've established a virtual living lab with them. And so we're looking at aspects of culture in Japan and in the UK, and how they change. And I was gonna say, fortuitously, COVID came along, but obviously, that hasn't been fortuitous at all. But from a pure sociological perspective, it has been very interesting. So we've been able to look at the way values have changed in these two cultures. So one aspect is about looking at the notion of resiliency. And prior to COVID, hitting in Japan, resiliency was absolutely about your work in your career. That was the absolute centre of gravity there. So if I wanted to become better at being resilient, that would mean I would best invest time and energy around my career. Right. So I would take additional courses, I will do more time at work, I'd go for the evening drink session with mica, because that was all about building my resiliency. And I will be more recent, and then as soon as covered hit, what we saw was a very market change away from work and a return to the family. And now if we look at resiliency is absolutely built around the family. So how do we how do I become more resilient, while I invest time and effort with my family? So return to family values? So you're absolutely right. If you're, you're in the business of trying to connect your brand to an attribute like resiliency, then your executions have completely changed. It isn't the bright eyed bushy tailed business suit Monday morning cup of coffee, go get them. It's sitting on the sofa, cuddling the kids tell us is this a multilingual? And are you able then to plug in, for example, a brand term, let's say COVID and see that in Mandarin and in Hangul and Japan ease and English, Spanish. And so we're able to look across all the major languages. And that's something we regularly do. And of course, that's really, really useful when we can do that very, very quickly. So clients are able, through access to the platform to get the answers next next day. So those multiple country multiple market studies are pretty useful. I mean, you're taking something which is, you know, a simple use case will be about global positioning. I mean, historically, that's been a very complex, time consuming and expensive. Same exercise. But working with different companies, we've shown that to be far more straightforward. And is this lots of lots of researchers beavering away and filling out forms for you? Or is it machine learning is AI john? What? What's the engine that's making this possible? So it's machine learning. It's it's AI. So what we will do out is go out and pull in as much topical content around the particular query as we possibly can, we will look at a lot of a lot of data, and then we will boil it down into what really matters. That involves seeing through that media bubble, and then we'll start to look at what are the core pieces of content? What are the core locations on the web? What are the core emotions that are really driving that narrative forward? That all happens without human intervention? That's all machines, very scalable, it's very fast. It's very cost effective? Well, let's talk about that. So for if a company or a government or a non government organisation wanting to track for example, trends around, let's say that the vaccines, how would a company do that job? And what would it cost them to do that? So it's very straightforward. So I was actually looking at this, just the tail end of last week, I was talking to the South China Morning Post, and part of their thinking was to say, Okay, well, we have we have antivax in the world. But what if it was a Chinese developed vaccine? How would the rest of the world take to that? So we were able to look at that pretty much real time. I could look at that. And a couple of hours later, we could have a conversation around it. The findings were pretty interesting. Yes, there's been a significant hardening, which is something we've been measuring over time, there's been a significant hardening of Western attitudes towards China. vaccine hesitancy is a very real thing in the world. It's really characterised by the depth of feeling. So don't expect to have a rational conversation with somebody who's anti backs, this will be fight or flight for them. That type of conversation, but people haven't put in a Chinese China and the vaccine together yet. So it's not becomes if people want a vaccine, the hope for the vaccine, they don't really care where it comes from. If people are anti vaccine, they are simply anti vaccine, they don't really care where it comes from. It's not come together yet the China vaccine already has equity in the world. But we haven't got that polarisation around it yet. It hasn't gone. It hasn't gone tribal. So watch this space with that. So that's a pretty simple exercise, they can engage with our business partners, they can get engaged directly with the site sign up. And for a few hundred dollars, though, they'll have a view, if someone wants to, let's say, zero in a particular sector, that particular country in a particular market sector, can they go that granular, or you really deal with large amounts of data and needing to produce these large data sets, john? So people can go very granular. So it's what people who've tried things like social listening might find is that very quickly, it drops off a cliff, there's nothing there. There's very little engagement, but we will go very, very deep on b2b issues. Because yes, people aren't talking about it on Facebook. But there's still very real engagement around beer, but it'll be a very technical conversation. So they're having get out on a more technical forums. So yes, we can go very granular. We will look at pretty small brands, pretty small, niche issues. So we're able to service a large number of industries. But what about compliance? Are there any issues? Because if you talk about, presumably, you if you're talking about going deeper than social listening, you're going into bulletin boards? Are you going into LinkedIn, or you're going into forums? Are there any issues there with compliance, so we only look at open data. So that was our very clear policy stance from the very early days of what we started to do is very clear that we two types of companies, companies that worked in open data and companies that were happy to go past that, that line in the sand, but it's been very, very clear for us from from day one, it's all about open data. So we only look at ever look at open data. So compliance is fine. And I noticed that on your website, you know, part of the sort of journalism without borders initiative that you've also got an opportunity for journalists to use the platform for free. Yeah, we'd be delighted for journalists to start using the platform more. As I said last week, we were talking with the South China Morning Post. And yeah, there's that very happy to, to do those runs. And we could start to start to form a view. But I mean, I think there's, there's there's tremendous opportunity for not simply data journalism, and we've seen the growth of data journalism recently. But it's, it's the media of media. Yes. So it's slightly matter. But I think we've come of age with that. metalist. If I look at the newspaper, let's say I pick up something like the guardian and look through that the first few pages are really, a lot of it are stories about the stories, the narratives about the narratives. So I think a lot of media is gone. For matter, and a lot of the stories around way. But not articulated pretty well. I mean, it is a it is something we think quite a lot around again, it's related to the media bubbles, and that a lot of the world's got very good at me, but we haven't got very good that way. And we seem to be getting a lot worse, we but we understanding way how we feel as a culture around certain issues, and be able to do that. To understand the emotions around it as well. And to have that view that isn't tainted by particular media bubbles is, is I feel pretty increasingly important to have that a very smarter man than me once said that consensus realities, everybody having the same encyclopaedia. So there is there is there is something to that a little bit is to have a more common framework where we can take the emotion out of things and just look at issues much more, much more clearly. Yeah, and I can see you and you called the platform earth.ai. And it sounds as though you've got this vision of sort of, you know, global information accessible, where people can, if you look across the the walls in their own walled gardens, which is kind of what we're all living in now, right? That's right. Wouldn't it be nice if we could actually understand ourselves better? Very simple thing to do. So Earth AI is, is is very much division. And I'm, I'm delighted you noticed, I'm delighted you notice that yes. And john, just tell us where people can find you and significant systems. So very straightforward. You can find us at significant systems COMM The website, if you put earth.ai, you will find us or you can find us on LinkedIn. That was great. Thank you very much. Good to talk. So thanks, there's dr. john Ricketts, the CEO of significance systems, which you can find at significant systems.com and earth.ai. Now I've used their tool sets for helping clients to define the positioning of their brand. And also to look at key topics that are taking place that my clients want to participate in. It's very, very powerful for aligning your messaging, and your future messaging with the global and prevailing trends that taking place not just on social media, but in deeper channels as well. So it can really commend this platform to you. So thanks for listening to this episode of speak PR. And I wish you the best of health, a profitable business and that you keep on listening and learning about what people are saying about your topics, but also the broader topics. And you can do that with significant systems. You can also do that by checking out our mastermind course, which is at speak PR co where we're helping companies and individuals to learn how to get noticed by using some of these tools and techniques that we've developed for over 25 years running the east west PR public relations network. Thank you so much for listening. My name is Jim James, wishing you all the best until we meet again.

Podcasts we love