Agriculture Analytics Hit New Highs

Speaker 1 (00:07):

Welcome to Tartlecast, with your hosts Alexander McCaig and Jason Rigby. Where humanities gets into the future, and source data defines the path.

Alexander McCaig (00:25):

Agriculture, grass, crops, Monsanto.

Jason Rigby (00:30):

John Deere.

Alexander McCaig (00:31):

John Deere. IBM.

Jason Rigby (00:32):

Yes. Trimble, which I looked that company up, that's actually a really cool company.

Alexander McCaig (00:36):

What do they do?

Jason Rigby (00:37):

A lot of IOT devicing, data science, stuff like that. It seems that their stock's doing well. Monsanto. Is that a Spanish ... That sounds like a Spanish name.

Alexander McCaig (00:48):

Monsanto?

Jason Rigby (00:49):

Yeah.

Alexander McCaig (00:49):

They're a Canadian company.

Jason Rigby (00:50):

Oh, they're Canadian? Hey.

Alexander McCaig (00:53):

Hey. We own rights to all farmer's crops. Hey. We like making pesticides. Hey.

Jason Rigby (01:01):

Yeah. This is the same, we just did an episode on WhatsApp and this is kind of ... I want people to understand, Alex, and I'll have you speak to this, there's a theme that's happening with all these companies and data.

Alexander McCaig (01:12):

Ah, there's a theme. Yes.

Jason Rigby (01:16):

And I don't think it's necessarily nefarious.

Alexander McCaig (01:18):

No.

Jason Rigby (01:18):

I think it's more this whole idea that ... And this is my problem with capitalism. I'm a capitalist.

Alexander McCaig (01:25):

How much can we bend the rules to get the upper hand?

Jason Rigby (01:28):

Well, there's so much pressure with shareholders, and these boards put so much pressure. Who in their right mind would say, think about this Alex, who in their right mind would say, for you to be successful, every call that you hop on that magic red phone and you talk to us, we have to see perpetual, eternal profit.

Alexander McCaig (01:49):

Yeah, I want eternal 20% growth.

Jason Rigby (01:51):

Not, "Hey, we're going to restructure, and for a year we're going to suck. But the outcome is going to be this, this and this." It's the wave. It's the ebb and flow. It's cause and effect. You can't have a continual wave of just constantly making money.

Alexander McCaig (02:04):

Why can't people just be pleased with a positive outcome? Why is it always more, more, more, more, more, more, more? And all it is, is more.

Jason Rigby (02:09):

Yes.

Alexander McCaig (02:10):

I want more data. I want more profit. Can I bend the rules to get more? Can I tow that line?

Jason Rigby (02:16):

Yeah, what's the line? And then legally, what's the line?

Alexander McCaig (02:18):

Yeah, legally what's the line and how can I get my really expensive lawyers to say, "Let's shift the line a little bit more in your direction."?

Jason Rigby (02:24):

Yes. We came up with this amazing idea, Jim.

Alexander McCaig (02:28):

Yeah. Jim, I got a great idea. My other senior partner came in here. We've been talking about this for the past three hours. By the way, we're going to bill you 50 grand for it.

Jason Rigby (02:36):

Yeah. And this is a gray area, but we know you can get a 12% profit increase.

Alexander McCaig (02:40):

Yeah, 12% profit. And we know that we can back you up in court on this if you had any sort of subpoena or whatever it might be.

Jason Rigby (02:45):

Yes. And we talked about this before, especially with John Deere. And I love ... Dude, I love tractors.

Alexander McCaig (02:50):

Love tractors.

Jason Rigby (02:52):

I love tractors. I just think there's something cool about farm equipment. But this whole idea of paying a million dollars for a piece of equipment and then turning around and it's just this data creating machine.

Alexander McCaig (03:05):

And you're giving it all away.

Jason Rigby (03:07):

And you're giving it all away to John Deere. It just seems so wrong to me, bro.

Alexander McCaig (03:09):

I'm trying to recoup my cost here. Why is John Deere got a double dip?

Jason Rigby (03:14):

Yeah, dude. Give the incentive back to the farmer. We're for the farmers.

Alexander McCaig (03:18):

This is COVID times. You shouldn't be double-dipping

Jason Rigby (03:20):

There's this agriculture analytics market report. I wanted to kind of look into the ... Because now, we have to look in to see, how did you come up with this? Where did the report come from? What data did you use? The report-

Alexander McCaig (03:32):

Comprises?

Jason Rigby (03:33):

Comprises. Thank you. The summarized data ... Yeah, my brain sometimes is dyslexic. Words just jumble together. I had a big problem. So how I forced my ... This is a side note real quick. So I couldn't read hardly. I read all the time now, but when I was young-

Alexander McCaig (03:50):

I was going to say, I don't doubt that.

Jason Rigby (03:53):

I am not the smartest, and you know this as well as I do. It takes a lot for me to kind of figure. But weird things I can figure out and I'm really good at it.

Alexander McCaig (04:02):

You're super creative, so I'm cool with it.

Jason Rigby (04:04):

The report comprises the summarized data of the current scenario of ... So far, I'm liking this. Okay. You summarize the current scenario. Good. As well as predictions about the upcoming trends. Okay, you used the P word.

Alexander McCaig (04:18):

For predicts.

Jason Rigby (04:19):

So when you start predicting, now I want to know, how are you predicting?

Alexander McCaig (04:22):

How are you predicting? Where'd the information come from? What is the supportive thing for your data research team that's telling you how to predict properly? Which model did you choose?

Jason Rigby (04:31):

Mm-hmm (affirmative).

Alexander McCaig (04:33):

What information is supporting this model? These are very interesting things that are going. And when you give me a summary, summaries are all well and good, but if you really want to know something, I need to know all of it. Because summaries are always biased.

Jason Rigby (04:48):

Yes.

Alexander McCaig (04:49):

A lot of people, they go on PubMed. I don't know, I do. And I'm always reading research papers because I want to see what's about it, what's up about it.

Jason Rigby (04:56):

Yeah, what's about it.

Alexander McCaig (04:58):

And it has the abstract, but that is just the smallest piece of the whole paper. Because any person doing the research wants to look good. Nobody wants to publish paper and be like, "We'll, that sucked. We were completely wrong." And then when you read into it, you see how wrong they actually were, but they made it sound great in the abstract.

Jason Rigby (05:17):

Yes, exactly. And I was thinking this last night, I was reading on Twitter some things, and I was thinking about marine. Most of our planet's full of water.

Alexander McCaig (05:31):

Are you talking about marine ecology?

Jason Rigby (05:32):

Yes. And we begin to look at farming in the water. We don't think of it that way.

Alexander McCaig (05:37):

How many times have I talked about algae?

Jason Rigby (05:39):

Yeah.

Alexander McCaig (05:40):

You know I'm a huge proponent for algae.

Jason Rigby (05:42):

Yes.

Alexander McCaig (05:42):

I have a high intake of algae.

Jason Rigby (05:44):

Yes. Yeah. It makes you alkaline. And we look like this a little ... Yesterday, dude.

Alexander McCaig (05:48):

It's so good.

Jason Rigby (05:49):

It was so funny. I'm walking into my kitchen, Alex is in there, and I have this little like vitamin maker. It makes pills so there's like little capsule gels. And he's got like all this green powder, this green algae everywhere.

Alexander McCaig (06:00):

I got green algae everywhere. I got brown kelp everywhere.

Jason Rigby (06:03):

You know, and then when I found out, because I made some last night be you had left the mess there.

Alexander McCaig (06:06):

Yeah I'm a mess leaver. I leave messes.

Jason Rigby (06:10):

I'm worse than you. But the algae, once you get it on your fingers, it's hard to pick up the little caps.

Alexander McCaig (06:15):

No, it became slippery.

Jason Rigby (06:16):

Yeah.

Alexander McCaig (06:17):

It's so fine. The cellular structure of the algae is so fine that it actually gets in between your fingerprint.

Jason Rigby (06:22):

Yeah, it's really, really bad.

Alexander McCaig (06:23):

And then it creates this totally slippery surface.

Jason Rigby (06:25):

Yeah. Totally slippery. Yeah. It's like a little ball bearing. So I did actually wash my fingers, and then I had a little bit of wet moisture, so they were just picking right up and putting them on there. But-

Alexander McCaig (06:35):

I'm so happy for you.

Jason Rigby (06:36):

Yeah. I know. We're way off. Smart farming.

Alexander McCaig (06:40):

What were you getting into with the marine ecology [crosstalk 00:06:43]?

Jason Rigby (06:42):

Oh, yes, yes. Let's go into that. So I'm thinking, I'm looking at it and I'm like, people are going eat fish. I mean, that's just ... Seafood. People love seafood. They're going to eat lobsters. They're going to eat fish. There's no way around that. I know you're vegan. Alex is vegan, everyone. But he's not a dogmatic [crosstalk 00:06:59] vegan. But people are going to eat fish, and there's farming and there's money to be made in it. I pictured if we just had one small lake. This what I was picturing last night. So all we had was just one large body, just one huge lake.

Alexander McCaig (07:18):

So, New Mexico?

Jason Rigby (07:19):

Yeah. Yeah. So let's say, where we're at. And then we had ... What's the lake three hours from us?

Alexander McCaig (07:24):

Elephant Butte.

Jason Rigby (07:25):

Yeah. Elephant Butte. That's all you got. And we have the rest of the world's just full of land. I was like, how would we look at it when we had a resource and we knew it wasn't ... Where we felt like it wasn't abundant. Because-

Alexander McCaig (07:39):

When we look at the world, we think it's just unlimited.

Jason Rigby (07:42):

Yes, because there's so much water. You got the Indian Ocean, the Pacific Ocean, the North Atlantic Ocean. You have all these different types of ... And I'm looking at a map, guys. I didn't just come up with that. I actually was reading off the map.

Alexander McCaig (07:53):

You're so learned.

Jason Rigby (07:54):

I don't know. But when you think about it, and then we'd go out and we'd go to the ocean, we go on a cruise or something like that, and we say, "Man, it's far as the eye can see, there's so much water. And there's just trillions of fish in the water." And then it's this resource that we think is finite, but it's not.

Alexander McCaig (08:10):

No. We think it's unlimited, but it is finite.

Jason Rigby (08:12):

Yeah. It is finite.

Alexander McCaig (08:13):

Yes. That's your dyslexia coming in.

Jason Rigby (08:14):

Yeah, yeah.

Alexander McCaig (08:14):

I'll give it to you.

Jason Rigby (08:15):

Infinite.

Alexander McCaig (08:15):

Yeah. It's infinite.

Jason Rigby (08:17):

It's infinite.

Alexander McCaig (08:19):

And that's that thing. It's that take, take, take, take, take, take, take mentality. It's that theme that we continue to see. And even when you're selling someone a product, how can I continue to take more from them? So this advanced agriculture that we're seeing and how it's coming into this report, how were you taking? What was the occurrence of that taking that is now supporting the summary, this thesis that you had, an you're backing it up with this data?

Jason Rigby (08:44):

Yeah. Because when you look at science and technology, and you're looking at the adoption of these new technologies, number one that they're really heading into is machine learning with big data. Of course, being able to take 20 years of data on this certain specific crop and find out yields and all that. And then IOT devices, especially on the equipment. And then you have all these analytic tools that they're using in the field, actually in the field, with drones collecting data. And then you have, they're looking at it and saying efficiency, efficiency, efficiency, efficiency. Profit, profit, profit. And from reading about these monitoring our cultural techniques, I'm really excited about it because efficiency, Alex, is going to help, because we're growing as a population and we've got a lot of mouths to feed and starvation is huge. One in nine people are dying of starvation a day. And think about that guys. That's crazy

Alexander McCaig (09:38):

Think about that food scarcity. That's nuts. And think about how much we just consume.

Jason Rigby (09:40):

Yes, exactly. But what I wanted to get into is, on the report, and I wanted to kind of hit these different topics, so they break it down as agriculture analytics market segmentation. But they use a word that we love, and that's global. So when we look at the farming industry, we're always picturing Missouri-

Alexander McCaig (10:00):

No.

Jason Rigby (10:00):

... and that old farmer.

Alexander McCaig (10:02):

Macro?

Jason Rigby (10:02):

There's a big tobacco in his mouth, and-

Alexander McCaig (10:05):

It's all macro trends.

Jason Rigby (10:06):

We're not seeing the rainforest is getting cut down in South America.

Alexander McCaig (10:10):

Yeah. Think about how much you import. I was so bummed out. I got to tell you. I love this popcorn. I like popcorn.

Jason Rigby (10:17):

Yes. I had some in there. Organic.

Alexander McCaig (10:20):

It was the Orville Redenbacher Naturals non GMO popcorn. But then I find out it's just covered in palm oil. I was like, do you know-

Jason Rigby (10:28):

Oh, we need to look at mine.

Alexander McCaig (10:29):

Do you know the abuse that the Indonesian rainforest takes just to harvest palm oil?

Jason Rigby (10:33):

Yeah, yeah.

Alexander McCaig (10:33):

It would astonish you.

Jason Rigby (10:36):

Yeah. No more palm oil.

Alexander McCaig (10:37):

And so I was like, now I can't even buy my favorite thing. Because, you want to know why?

Jason Rigby (10:40):

I guarantee you, Whole Foods has a-

Alexander McCaig (10:42):

It was the conception that it was cheap and we can produce more. But at what cost?

Jason Rigby (10:48):

Yes.

Alexander McCaig (10:49):

And when we look at the global view, I'm essentially, I know I get my corn here in the US, but I've imported the palm oil all the way over from Indonesia. So when you look at these global trends, it's important to understand the systemic nature of how all these different farmers and everything across the globe comes down to just one single product.

Jason Rigby (11:07):

Yeah. And the sad part about this report was the market segmentation by type. They had two types. Solution and services. Which sound good. but when you look at the solution and services, there was no solution to help our aquaculture. There was no solution-

Alexander McCaig (11:25):

Was there a solution for dairy?

Jason Rigby (11:26):

Yeah. It's got livestock analytics. Because they had three. They had farm analytics, livestock analytics and aquaculture analytics. Those were the by application. Market segmentation by application. And I began to go into the report a little bit, because it's huge, it's a big PDF, and I began to look at it and it's like, where's the giving? The whole report, like you had said, was take, take, take, take. But it's like, where's the giving on it?

Alexander McCaig (11:52):

No, that's what I'm saying. We have this strange theme with humanity currently, and it's just taking and taking and taking. And what's kind of a bummer, not to bring it down, but the people who control resources just want to keep taking more. Like real resource controllers. There's a lot of good businesses out there, people trying to do a lot of great things, but the people that have a lot of clout on world economics, big resource takers, heavy consumption.

Jason Rigby (12:22):

Yeah. Like chapter four was global production revenue value by region.

Alexander McCaig (12:30):

Okay. I'm glad you've produced all this and the data's showing production's up, but is it actually driving down starvation across the globe?

Jason Rigby (12:39):

Yes.

Alexander McCaig (12:39):

Is it driving down food scarcity?

Jason Rigby (12:42):

But if you're John Deere, if you're Monsanto, if you're IBM, Oracle's involved in this, Trimble, all of these-

Alexander McCaig (12:49):

Well, they need their computers to analyze these data sets.

Jason Rigby (12:53):

Take a percentage of your big data. Partner with us, with Tartle, because we'll help you with this. And let's find the impact, globally, on what these companies are doing, per region.

Alexander McCaig (13:05):

That's a great bridge. I'm glad you guys are doing all this stuff for take, take, take. Come to us and start to strike a balance with the world.

Jason Rigby (13:11):

Yes.

Alexander McCaig (13:12):

If you are globally analyzing 50% of the picture, come on over here and let's talk about the other 50%.

Jason Rigby (13:18):

Take $2 million and let's figure out how we can help John Deere. Or any of these ... IBM, take $20 million. That's nothing to you. That's pocket change.

Alexander McCaig (13:27):

20 million is not going into our pockets. 20 million goes to the people that create the data.

Jason Rigby (13:31):

Yes, exactly. And let's talk to those Indonesian farmers.

Alexander McCaig (13:34):

Yeah. Let's understand really what's happening. Let's understand the impacts of your huge operations, outside of the data that you're only collecting. It's like when we talked about with hospitals, they're just designing their own net promoter score because they really aren't in touch with the people that are in or out or don't come in. It's the same function.

Jason Rigby (13:54):

Yeah. And when we look at analytics and we look at this big data and we look at these reports, and we had talked about this before, but that Indonesian farmer, I guarantee you, being on the field for 30 years, he has insight. That's a win-win. For you, for you and your profit and your production value and all of that, and your crop yield, I guarantee if you can speak to him directly, you're going to get some answers that you need.

Alexander McCaig (14:18):

I'm glad you brought this up. When I used to be in consulting and I did large projects, especially ones with the union workers, there was such a poor job from these companies of actually transitioning 30 years of knowledge to the next person that was going to take that guy's place when he retires. There's a natural cycle, and so if you want to assimilate the knowledge of that individual without having to go there and make that conversation with them, you can do that through Tartle. You can learn so much about techniques and specifics. I'm talking so specific you can know about this gentleman's one acre plot in this microclimate here in Indonesia. That's incredible.

Alexander McCaig (14:58):

And then if you put that into a large computational system that IBM or Oracle has, you can then compute all these microclimates and these micro farming operations to see, wait a minute, they do something quite effective. Maybe we can scale this up on a major level that can be beneficial in the macro.

Jason Rigby (15:14):

Why is this guy for the last 10 years yields have been huge? What is he doing?

Alexander McCaig (15:19):

Yeah. Is there something ... Oh, wait a minute. There's millions of him that are outliers. What is it about their farming model that is so significant? And now we can learn. Now we have a proper transition of knowledge. Now we can all learn and evolve from one another's experiences.

Jason Rigby (15:36):

Yes, exactly.

Alexander McCaig (15:36):

Where has this been in humanity for so long?

Jason Rigby (15:40):

Yeah. Instead of just taking all of this big data and then making, the P word, predictions-

Alexander McCaig (15:45):

Predictions.

Jason Rigby (15:46):

... and then basing, because they're basing up to 2027 off of this.

Alexander McCaig (15:50):

Jason, I don't know what's going to happen tomorrow.

Jason Rigby (15:54):

COVID showed us that prime example.

Alexander McCaig (15:55):

Yeah. Why are we still putting out these summary prediction reports? Probably because people pay a lot of money for them, so that they can go back and put it in the financial markets and then do some sort of future value of their present value of earnings, or whatever it might be. But why are we still predicting things seven years in the future? Nobody knows how this cloud, I'm looking outside the window, is going to change in the next 30 seconds.

Jason Rigby (16:16):

No, we don't.

Alexander McCaig (16:18):

It's a cloud. It's moisture. It's such a basic thing. But then you talk about global impacts of farming and predicting it across 8 billion people, and everybody has their own different system and way of doing things. And you're going to say, this is what the future looks like? What a crock.

Jason Rigby (16:37):

But when you begin to look at data, especially in the agricultural side of things and this resistance from probably these farmers, it's like, how do you bridge that? Well, there's a way. It's called incentivize them.

Alexander McCaig (16:51):

You've got to incentivize them properly. Appreciate the knowledge and the value they're creating as a small farmer, even though you might be a huge one, and realize that there's always something to be learned.

Jason Rigby (17:01):

But the amount of money you're spending on these predictive models-

Alexander McCaig (17:04):

Stop predicting.

Jason Rigby (17:06):

You could take a fraction of that and get the right answer by speaking directly to that farmer.

Alexander McCaig (17:10):

You about we say this? Stop predicting, start knowing.

Jason Rigby (17:13):

And when you have a guy that shows up from the United States or Canada or somewhere else, and he's wearing a suit and tie and he has a clipboard, and he comes and sits the farmer down, that farmer is not going to be honest with him.

Alexander McCaig (17:24):

No, he's not.

Jason Rigby (17:25):

Because he knows his livelihood is dependent upon the answers that he asked.

Alexander McCaig (17:28):

And you're not meeting him really at his level.

Jason Rigby (17:30):

No, and not at his level.

Alexander McCaig (17:31):

Whatever that level might be.

Jason Rigby (17:32):

But if you're anonymous and you take a group of subset Indonesia farmers, and they know that it's anonymous-

Alexander McCaig (17:38):

We've met everybody at the same level.

Jason Rigby (17:40):

Yes.

Alexander McCaig (17:41):

That's so cool.

Jason Rigby (17:42):

Yes.

Alexander McCaig (17:42):

And now you're going to start to really pull out the truth and you can get into the weeds.

Jason Rigby (17:47):

Yeah. No pun intended.

Alexander McCaig (17:48):

And the only way you can keep your farm clean is to pick through those weeds. So all you're left with is that nice crop.

Jason Rigby (17:54):

But I think there's a responsibility with these large agricultural companies to understand what they have to give.

Alexander McCaig (18:03):

They have a lot to give.

Jason Rigby (18:04):

They have a lot to give. And I want John Deere to realize, or our Monsanto, or Trimble, or any of these, it doesn't take a lot to give. It's not taking away, you're going to gain in the long term.

Alexander McCaig (18:22):

Yeah. More than money.

Jason Rigby (18:25):

Yes. More than money. Because everybody thinks of abundance as just money. And I don't want to get too crazy with this, but there's more to abundance than just money. If I say you can be a billionaire but you have six months to live, no one's going to pick that.

Alexander McCaig (18:39):

Why is Helsinki so freaking tiny, but they're the happiest place in the world?

Jason Rigby (18:42):

Right.

Alexander McCaig (18:44):

How does that work? Their GDP is not even close to ours. Obviously there's a disparate, obviously something is out of whack between the correlation of economic gain and real value of life.

Jason Rigby (18:56):

But I'm not picking on these companies at all-

Alexander McCaig (19:00):

We're not picking on them.

Jason Rigby (19:01):

... Like I said, I love them. But like John Deere, what if you came out with a global plan to help farmers and help humanity to help this world, and you shared that with your employees? And then you let their employees, and they could use Tartle to do this, you let your employees know, specifically, how each of them are helping the world. Now, how does that person feel when they're looking at that? How does that data scientist feel when he's looking at that data?

Alexander McCaig (19:28):

Feel how jazzed you'd be. It's been ethically sourced. I know that someone received such a great benefit from it. And now, through my hard work, I can solve a problem and then come back to the world and be like, look at what we all did together. Why is it not just such an awesome winning formula? You can have monetary gain and altruistically elevate all of us. It's not an impossible model. We've shown with Tartle that that model exists and it works.

Jason Rigby (19:56):

You can still be the Wolf of Wall Street and do good. You can have that polarity.

Alexander McCaig (20:01):

Go ahead. And just, again, I want to hammer down on that point. We're not bashing on these companies. We're just saying, you have a wide availability of resources. Let's all just make sure that we channel our efforts and resources in the right direction, with the right knowledge.

Jason Rigby (20:19):

And also we have a time crunch. And these agriculturals know this more than anyone.

Alexander McCaig (20:24):

Well, they're feeling it. They feel droughts. They feel it all.

Jason Rigby (20:27):

Yes. They feel flooding.

Alexander McCaig (20:27):

Yeah.

Jason Rigby (20:28):

All of that affects them.

Alexander McCaig (20:29):

All of it. It kills crops, kills yield, people can't feed. If you're looking at 70 years of climate change, me as John Deere, I want to know what else is affecting these things. It's not just what affects me directly is John Deere. What are the other things in this connected system that'll have indirect effects that are going to be very negative?

Jason Rigby (20:46):

But if I'm an executive at Monsanto, John Deere, any of these places, and I have my grandson sitting on my lap and I look at him. And I may be 65, 70, whatever, but I look at my great grandson, my grandson, and I know there's 40 years left in the soil in the United States. That's what I want to leave him?

Alexander McCaig (21:04):

Yeah. Do I want to leave him with just a world to burn behind me?

Jason Rigby (21:07):

I want to leave him $10 million and no soil?

Alexander McCaig (21:12):

Yeah. What's he going to do with $10 million? Can't buy himself a spaceship, I'll tell you that. It's not enough.

Jason Rigby (21:19):

It's more than profits. It's taking the opportunity to leave a legacy.

Alexander McCaig (21:23):

That's great. And I want to see every single one of these companies leave massive, positive legacies.

Jason Rigby (21:29):

They have the ability, that's the beautiful part.

Alexander McCaig (21:31):

And whether they succeeded doing it or fail, they were championing for something that really, really mattered for everyone.

Jason Rigby (21:39):

Yeah. And if you're a company out there and you're listening to this and this is something that you want to partner with Tartle, we would love to have a conversation with you. You can go to a contact@turtle.co.

Alexander McCaig (21:50):

Or you can email podcast@tartle.co.

Jason Rigby (21:53):

Yep. Either way and we will be more than happy to have someone get ahold of you and we can work through this process. Work with your data and make sure that we have this opportunity for all of us together, collectively, globally, to solve these biggest issues, these problems.

Alexander McCaig (22:09):

Thank you, Jason.

Jason Rigby (22:10):

Thank you, Alex.

Speaker 1 (22:19):

Thank you for listening to Tartlecast with your hosts, Alexander McCaig and Jason Rigby. When humanity steps into the future and source data defines the path. What's your data worth?