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Amir Mabhout: DATALATTE - NFTs for Data
Episode 726th April 2022 • Ocean Missions Campfire • Scott Milat
00:00:00 00:35:14

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Amir is the founder of DATALATTE, a project using NFTs to help you take back control of your personal data. We discuss their first NFT drop focussing on Netflix data and explore how DATALATTE could begin opening up new opportunities for Data Scientists and Entrepreneurs.

Website: https://www.datalatte.com/

Discord: https://discord.com/invite/saUmuZ3Rrw

Thanks to the Ocean Protocol Ambassador's Programme for Sponsoring this podcast. Learn more about the programme here: https://oceanambassadors.community/

Transcripts

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So I left the university and started traveling in my van around Europe. Then there was initially writing my thesis on the road and afterward I adopted my dog and Pedro in south Spain, who is also my business partner now. And. So on the road, I started exploring all types of business ideas. My first concept was actually a cafe catering to dogs and humans.

And so I started to read about dogs, diet, and it started cooking for Petro. And after a week I realized that he's losing weight. So I figured out maybe that's the wrong idea. And at the same time I was parked outside of a resort in, in south Italy. I was doing work away in giving advice to this resort under solar power management.

So from that, I got really into urban sustainability for a while, and I was towing the idea of founding a fully sustainable cafe.. To showcase urban sustainable technologies and promote a greener way of living. And originally I was going to do that in Berlin. And so I started doing a lot of research and the more I researched, the more I realized it wasn't feasible.

And I was more also interested in technology than food and after spending so much time coming up with all these different types of technologies, I want to put in the cafe, I realized that you didn't have any idea or come up with a decent menu for the cafe. So at this point I gave up on the idea of actually going to food industry and I thought I better stay with technology.

And, so basically I was doing a little bit of research on variable sensors. And from there to the actual data you can collect from the bodies. I came kind of into the data protocols. So my research came to data protocols and at the same time, I was concerned and frustrated with a big tech that theu're actually creating.

More problems for the people to maximize their data-driven, profit rather than solving problems. And also the economy gap they created, it was getting wider. And basically I tell it makes a lot of sense if we can give the power back to the people with data monetization, and also it's time for the people to earn what's rightfully theirs.

So after it got to this conclusion, I was crying, fired up. I, I tell them I'm going to talk to my sister because she was a data scientist, a professor. So I see what is the pain points that is a data scientist. she struggles with, and also students. She explained me that the independent data scientists really struggled to find affordable and also, access.

private data since all this data is in the hand of the data police. So I started all over again with this back of my mind, I did a lot of research into data protocols since they were in the realm of software. For me, it was more new because my background was hardware by, I was really sure of the direction that we are going with data and.

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Business models and so on and so forth that we sort of hear a lot about. so, you know, would you mind maybe just doing a bit of a,a deep dive into, or shallow dive or however deep you want to go, uh, into the problem that, data later data latte that excuse my accent is looking to address here.

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And also they don't have any true ownership or control. Or they don't have any, even have the control to say who have access to their data. What is their data being used for? And they're not even aware of how creative these companies are in collecting their data and linking it together. There is minimal transparency on that regard with this complicated terms and agreements to force people, to just accept things like accepting a cookie.

ion, that was took, it was in:

And here we at data latte, we try to put this law into full force for the people. And the second problem that we are addressing is for the data scientist. If you're a data scientist who likes to work independently, you don't have access to good quality data. You can Google a little bit, go on Cagle and find some limited databases.

But if. I want to have access to big tech data. You've got to work for the big tech, and if you work for them, you need to do your data science, project, or you need to do your work so that it maximize the profit of the company. You don't get to choose and you don't get to be creative, other possibilities.

What you can do with that data, you only get two. What they want you to do, and that's not necessarily in favor of the people or the users of that platform. And then in a lot of cases actually is manipulating people's behavior and exploiting their digital light. So this way we're gonna deliver such a high quality data to data scientists, to develop applications with their creativity that ultimately.

Hops these people and try to solve actually wards problem. Yes.

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Google maps and all the rest of it, everything is basically just spewing out tons and tons of data. and the GDPR, sort of regulation came about and said, actually you own that. So you, as the person that is basically, you know, creating that, that data exhausts you. a fundamental riot or some form of legally recognized ownership over that, that data stream or those data streams.

And then you kind of, so that that's sort of the, the kind of product, I suppose, you know, the source of the data and then the, the kind of the, the, the product, which is just, you know, all of this data coming together in some way, shape or form, and people figuring out, you know, ways to either use it or, or leverage it for.

And going to what you're saying is that by, pulling all of that data together in a, you know, somewhere where data scientists can come along and, and use the product that, you know, let's be honest. Most people don't do. Aren't even aware that they're there creating really, and, and begin to sort of build things on top of that.

Is that, would, would you say that sort of a fear kind of summary of, of, of the sort of situation?

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You know, the advertising industry is just trying to manipulate people to buy things that are not necessarily solving problems.

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Very, very interesting. So, you know, this. a space, which seems to be getting more and more attention as time goes by. Even if you're just to look at the last couple of years, you know, with, with things coming out, you know, whistleblowers, from Facebook and the like, you know, is there other ways that, that people have looked at or are looking to address this problem that, that you've come across?

yeah, there are a lot of, foundations and standardization groups among the industry, the government academies, et cetera, that they, they see the problem and they claim to be solving this problem by introducing and creating a framework. And so basically. What I see the problem is that if, if you want to put this frameworks into action, it's not easy.

when they try to bring big tech to do something that limits their growth strategies and hinders their profit. So big tech, having all the money and power don't really adopt it on the other hand. what now came to being with web three is enabling an open immutable and democratic framework that really enables this time around to try to get the power back from these tech monopolies and a lot of other projects as well, or, claiming to give data back to the people and.

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so you, you, I think you touched on sort of this concept. Of WIP three, maybe changing the dynamic a bit. you know, w w what is it about, that a latte that, that you see, as being a addressed, you know, why does that a lot, I address this problem, and what makes it better than the others, do you think?

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When that data is sold in our data marketplace. So that's the first thing in the most basic thing that any data platform should offer to the people that finally with this technology, people can be the real owner of the data and not anymore through a third party. The second problem that I see is the economy imbalance and how big tech is widening the.

So to go about that in data latte, what we introduced are these data barista NFTs that makes our users, the owners of data Latin. So this NFTs are not just like a piece of artwork that are unique. They're also the digital identity of the user in our plan. And what we do is that we provide, a set of data quests that the data baristas or the users can accomplish.

And by doing so they increase the value of their data. For example, we asked, for the first data upload to be the Netflix viewing history. So we, from that, we can see the tastes of the movies that people. And then we had the data quest and ask people if you would prefer to have a catch-up or minus with your fries.

That's a very basic question to ask. And one might ask, how can you link them together? But if we know. What tastes of movie a person has, for example, a person likes to watch more action movies, and we realized that they prefer the majority of the action movie fans. They prefer catch-up. So that's a sort of, insightful,results for data scientists to see these patterns.

And. Give it to the businesses around the movie theaters that if there is a action movie theater screening, then it's better to put some ketchup options more in the front for the, for the people to catch. So that's what we created this data quest and kind of the game effication of the process with this data baristas to bring them into a leaderboard and a ranking.

So they can do this data quest and increase their XP. And while they do so, the more expedient earn, the more intelligent their data barista gets and by doing so they will have higher watering power. Th some of the most,some of the most influential, decision-making who bring it to the doubt to decide and as well, they also receive a bigger share of the pie.

And the pie is actually the market feeds that were collecting it and sharing it with the data baristas and, coming to the problem for the data science. lacking good quality data is that we give them access to a high quality data that it wasn't accessible before, for an affordable price in the data marketplace.

And this time around they're free with their creativity to create actual products that solves real world problems and not necessarily stick to the agenda of a company that hires them to do it.

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I mean, one of them is that you're using that in NFT as the kind of identifier of a data source. In this case, you know, someone who's giving their Netflix history and whether or not they like a tomato sauce or Mayo. but obviously, you know, that. That data source could be many, many different things.

And, if that's all sort of linked back to that, that, that NFT then, then you have that, that individual identifier, growing in value over time is obviously that is, is linked to, to the, the input source. Um, and then I think the other, the other I speak is, the, the governance aspects. So there's also a, you know, early adopter community type, kind of angle to the inequity and that, that NFT ownership. so that's yeah, it's, it's definitely, it's a very, You know, unique way of pulling these things together.

What's you know, what's the response been like so far from, the users, that you've, you've interacted with, with data latte.

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And they have been really supportive and appreciate Steve of what you're doing. And they show that they have the belief in the future of this project and they just. asking us to release more and more. And now, now being in the other side, I realized when I was in other three communities in the discord and like users keep demanding like, yo release this, this product, we need to get this going.

Eh, I realized like how it is to be on the other side that you realize that. How, how much time and effort is to making things and what kind of problems can come on the way, you know, especially in web tree, everything is developing on the edge. You know, everything is getting updated and so on. So a lot of things can pop up, but the, the community for sure has made it fun as well.

And we, we see a lot of endless possibilities that we can engage with this community together, along the way. And making this ride really enjoyable for both of us.

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We minty NFD on. Uh,to the wallet directly, eh, and we, we pay the gas. So the user basically doesn't need to do anything after uploading the data. And we have sorted out all the pipelines that automatically cleans the data and pull it into the, into the pool. And we also published some nice insights about this Netflix data we published in the blog post with Rockwell index as well.

We, we saw some patterns. Let's see. on Sundays, people are watching more Netflix. It makes sense. Also throughout the year, October actually is the highest usage of Netflix among our users. I would have maybe think more colder. And then season more colder moms, but actually October was the case. And we also saw like the, during the pandemic people started watching more drama than comedy before actually comedy was dominance, but this whole pandemic has been so dramatic that made people to watch more drama after heart, which we could see it in the day.

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Co-ran so what's, what's maybe one of the biggest problems that you're facing right now, in terms of, of, of pushing that a forward. I'm sure there's, there's many different things and, and you know, everything you're pushing everything forward all in the same time, but is there anything that sort of stands out at the moment as being your, your number one hurdle?

If you could wave a magic wand and fix it, what

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And when we're asking for the data or provide some monetary benefit for it, people are skeptical. I think they have a hard time trusting us, unfortunately. And that's the main problem now also blockchain crypto. And if these people are also a little bit skeptical about this, these new merging technologies and we believe like a little bit more adoption and education.

Okay. Bring people around. And we also do our part on educating people about this, this technology called T. Very cool.

if you were to fast forward and maybe, you know, go go a couple of years into the future, people have become more comfortable and familiar with, you know, with three technologies and it's not that long ago.

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it just a matter of adjusting your time horizons, I suppose. if the last day was, it was a huge success, you know, what would be different? How could you imagine this coming to life? It w if it were to kind of achieve all of your, you know, your, your wildest sort of dreams and hopes for, for the.

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Not only that, but also the services are an affordable and an accessible to those from emerging economies. And from what we already know, a I N business analytics Wolf require as much as data as possibly can get. So the global self doesn't have equal access to data like the west and other capitalist nation.

They have kept their being kept as a slower pace. Econometrically. Compared to the global north. So I believe providing, affordable, reliable, and previously inaccessible user data to developers and data scientists around the world can remedy that. And we hope one day to be the Kickstarter for, and economy.

And, hopeful contributing to raise the standard of living and overall the quality of life.

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So yeah, it's definitely a very. Very interesting space to be, to be exploring. so you mentioned that, people can go and sort of mint their own, NFT at the moment. If, if I were to go and upload my, in my Netflix,viewing history and presumably there's no, personably, identifiable information and, and, and that, and that.

yeah, basically your Netflix viewing history is just, the title of the movie or a serious rewashed. And next to it, the date that your wash that. So. I mean, like, basically if you even publish it online, like nobody can really identify unless you're like, eh, worry big fan of, I don't know, like a movie like diehard or didn't know that you watched it like 15 times in a, in a weekend.

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Meaning we don't give the access to the raw data. We give access to the algorithm to have access to the data, train its model with it. And, like without actually getting any identifiable information.

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yeah, so you get the NFD, your data will go to the pool. So when we sell that pool to data scientists, you earn an income from it. And in the dashboard, there are two tabs of data quest and Dell. So in the data quest, you get to, for example, if every month you update your data, you will get, you will earn ESPYs if you, For example, answer to this question of ketchup or myo, or some certain data quest that ma makes your data more valuable.

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That, we'll make this whole process of collecting data requests from the users, way more entertaining for the user. I wouldn't spill too much beans about this product, but basically you play to earn. So what, like aside from selling data in the marketplace and earning for the people, we're also creating our own, eh, native, eh, community.

What is token that they get rewarded to actually make their data more valuable and also participate in a Dell. Cool.

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And we can, yeah.

I mean, it's to get to how our dashboard works and so on. if there is any question they can just pop up in our discord, if there is any problem, we have, we have a big team. We are around 15 people, including federal my talk and we'll be online to answer any quick. And basically for anybody who liked to help in this movement, just spreading the word, creating more awareness, pre bringing people together for this.

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Hey, was it, is there anything else you wanted to add before we.

not really. I just want to tank you and voices like you, that debate is ideas and bringing more awareness to the people and, yeah. Thanks a lot of Scott. What was the

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