TCAST: The Future of Data & AI

Data and the way we use it has been evolving since the early days of the digital age. However, for most, that evolution has been slow, painfully slow. A recent article about Coinbase and its attempt to take the use of data to the next level illustrates, in some ways unintentionally, just how far we have to go. First, some background.

Data 1.0 is really just manually gathering data, processing, and figuring out how to react to it. Think of it as customer surveys or going into your production records and manually entering that into spreadsheets so you can see it all and start to get some insight off that. If that sounds cumbersome – it is. Unfortunately, that is also where many companies are stuck these days. Perhaps the methods of gathering the data have gotten more sophisticated but it is still collecting a bunch of lagging data trying to plan the future off what was going on in the past. 

Data 2.0 is more about using data and more advanced technology to automate a few basic functions, freeing people up to do more creative things. The processing of the data is faster but it is still lagging, leaving businesses to make their best guess about what the future will look like. Thanks to the improved processes, the guess is better, often good but it still is falling short of the potential that sound data management offers to any organization. 

The article in question posits that Coinbase is leading the way to Data 3.0. Coinbase is a company that deals in the buying and selling of cryptocurrency. As such, it deals extensively with financial matters, the various crypto products they offer, and technology in the form not just of the software to allow customers to buy and sell crypto but of the blockchain technology that many cryptocurrencies make use of to ensure their ownership is secure and verified. Dealing with all of the different aspects of their business makes it imperative for Coinbase and any company operating in the digital world to improve their automation and decentralize their data so that everyone in the company can easily access it in order to streamline their operations. That’s what Data 3.0 is, it’s getting data out of the siloes we like to put it in and learning how to integrate it with multiple operations which helps keep the whole company on track. It also makes it much more flexible, nimble, better able to deal with the rapidly shifting digital environment. 

However great Data 3.0 might sound, it is still dealing with the same information that Data 1.0 makes use of. In short, at the end of the day, Data 3.0 is still just a sophisticated 1.0. Yet, this constantly being in a rut despite the rapidly changing and improving technology available is only part of the story. We have to account for human nature as well. The fact is, we like to hear what we like to hear and people will often take the easy way out, manipulating data to get the information they think their bosses are looking for. That means leaders wind up making bad decisions based on worse data. This of course is a temptation at any level of data usage. However, it is even worse in today’s hypercompetitive environment. The constant pressure actually leads to shortcuts when in truth, having reliable data is more important than ever.

What is the solution? The solution is Data 4.0. With Data 4.0 you go straight to the source. You get your information not from algorithms, not by extrapolating from data skimmed off electronic interactions, but from actual people. This data is as close to real-time as possible and is so specific that it becomes harder to manipulate. And who would want to? The whole point of going to the individual is to avoid all the middlemen and the filters that can skew data in the first place. That is exactly what TARTLE hopes to do, create a Data 4.0 environment that will provide quality reliable data to help people make good decisions of genuine benefit to all. 

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

Data and the way we use it has been evolving since the early days of the digital age. However, for most, that evolution has been slow, painfully slow. A recent article about Coinbase and its attempt to take the use of data to the next level illustrates, in some ways unintentionally, just how far we have to go. First, some background.

Data 1.0 is really just manually gathering data, processing, and figuring out how to react to it. Think of it as customer surveys or going into your production records and manually entering that into spreadsheets so you can see it all and start to get some insight off that. If that sounds cumbersome – it is. Unfortunately, that is also where many companies are stuck these days. Perhaps the methods of gathering the data have gotten more sophisticated but it is still collecting a bunch of lagging data trying to plan the future off what was going on in the past. 

Data 2.0 is more about using data and more advanced technology to automate a few basic functions, freeing people up to do more creative things. The processing of the data is faster but it is still lagging, leaving businesses to make their best guess about what the future will look like. Thanks to the improved processes, the guess is better, often good but it still is falling short of the potential that sound data management offers to any organization. 

The article in question posits that Coinbase is leading the way to Data 3.0. Coinbase is a company that deals in the buying and selling of cryptocurrency. As such, it deals extensively with financial matters, the various crypto products they offer, and technology in the form not just of the software to allow customers to buy and sell crypto but of the blockchain technology that many cryptocurrencies make use of to ensure their ownership is secure and verified. Dealing with all of the different aspects of their business makes it imperative for Coinbase and any company operating in the digital world to improve their automation and decentralize their data so that everyone in the company can easily access it in order to streamline their operations. That’s what Data 3.0 is, it’s getting data out of the siloes we like to put it in and learning how to integrate it with multiple operations which helps keep the whole company on track. It also makes it much more flexible, nimble, better able to deal with the rapidly shifting digital environment. 

However great Data 3.0 might sound, it is still dealing with the same information that Data 1.0 makes use of. In short, at the end of the day, Data 3.0 is still just a sophisticated 1.0. Yet, this constantly being in a rut despite the rapidly changing and improving technology available is only part of the story. We have to account for human nature as well. The fact is, we like to hear what we like to hear and people will often take the easy way out, manipulating data to get the information they think their bosses are looking for. That means leaders wind up making bad decisions based on worse data. This of course is a temptation at any level of data usage. However, it is even worse in today’s hypercompetitive environment. The constant pressure actually leads to shortcuts when in truth, having reliable data is more important than ever.

What is the solution? The solution is Data 4.0. With Data 4.0 you go straight to the source. You get your information not from algorithms, not by extrapolating from data skimmed off electronic interactions, but from actual people. This data is as close to real-time as possible and is so specific that it becomes harder to manipulate. And who would want to? The whole point of going to the individual is to avoid all the middlemen and the filters that can skew data in the first place. That is exactly what TARTLE hopes to do, create a Data 4.0 environment that will provide quality reliable data to help people make good decisions of genuine benefit to all. 

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

Sometimes, it takes a long time before you are proven right. Not that too many people seriously doubted Einstein’s prediction that gravitational waves – ripples in the fabric of space – existed. However, it wasn’t definitively proven until 2016, nearly 100 years after the Jewish scientist first posited their existence. Even in 2016, with the technology available, it took a major event to trigger waves large enough to be detected. That event was the collision of two black holes over a billion light-years away. 

In 2012, the Higgs boson particle was finally discovered. Predicted back in the 1960s, the subatomic particle was needed to complete the Standard Model. Once the Large Hadron Collider finally proved the particle’s existence, physicists could say that they had a solid grasp of the fundamentals of how subatomic particles behave. 

It would be easy to go from these and other discoveries and say that everything is going perfectly smoothly in the world of physics. However, that would be to ignore all of the crazy things going on that we have no clue how to explain. Just take dark matter. There is a lot more of it in the universe than there is visible matter. The ratio seems to have gone down, from 10/1 to 6/1 likely thanks to more accurate analysis as well as people just getting better at detecting normal matter. How much of the change in the ratio is taken up by the discovery of extrasolar planets, or that neutrinos actually do have a tiny bit of mass? Yet, there is also a large amount that we can’t account for. There is also dark energy, which has no relation to the concept of dark matter. It’s just a term for the energy that might be causing the expansion of the universe to speed up. Yes, that’s a thing. And let’s not even get into quantum mechanics where things get really weird.

Pretending everything is chugging along smoothly would also ignore the fact there are issues that are more political than scientific to be dealt with. That comes into play especially when scientists are delving into those strange and mysterious elements, the places we don’t understand. That’s because the discoveries that come from research into those poorly understood fields sometimes have implications for what we consider to be established science. Those who have made their careers on things like orbital mechanics, star formation, how gravity works, and so forth don’t much like people telling them their theories are wrong. 

Einstein himself fell prey to this. When he was still working out his theory of relativity the common understanding of the universe was a steady-state model. It had always been here much as we see it today. He and others were resistant to the Big Bang Theory that was getting peddled by one Fr. George Lemaitre. Einstein was so resistant he actually added a fudge factor into his equations called the cosmological constant that would make the answers compatible with a steady-state model. Einstein later removed it, calling it his greatest blunder. 

If Einstein didn’t care about having his preconceptions challenged, it’s no wonder that scientists today struggle with the same impulses, though now, it is perhaps even worse. There are various incentives to not rock the boat. Too many are primarily interested in getting tenure at their universities or getting their grant money from the government. Pursuing those goals rather than the truth means that new ideas aren’t just treated with suspicion, they can be flat out suppressed, holding back not just a particular scientist, but science as a whole, thus limiting our ability to understand the world around us. That is precisely why we need more openness, more transparency in our data so that others can go into it and research things for themselves and hopefully learn to be open to whatever the truth may be.

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

Sometimes, it takes a long time before you are proven right. Not that too many people seriously doubted Einstein’s prediction that gravitational waves – ripples in the fabric of space – existed. However, it wasn’t definitively proven until 2016, nearly 100 years after the Jewish scientist first posited their existence. Even in 2016, with the technology available, it took a major event to trigger waves large enough to be detected. That event was the collision of two black holes over a billion light-years away. 

In 2012, the Higgs boson particle was finally discovered. Predicted back in the 1960s, the subatomic particle was needed to complete the Standard Model. Once the Large Hadron Collider finally proved the particle’s existence, physicists could say that they had a solid grasp of the fundamentals of how subatomic particles behave. 

It would be easy to go from these and other discoveries and say that everything is going perfectly smoothly in the world of physics. However, that would be to ignore all of the crazy things going on that we have no clue how to explain. Just take dark matter. There is a lot more of it in the universe than there is visible matter. The ratio seems to have gone down, from 10/1 to 6/1 likely thanks to more accurate analysis as well as people just getting better at detecting normal matter. How much of the change in the ratio is taken up by the discovery of extrasolar planets, or that neutrinos actually do have a tiny bit of mass? Yet, there is also a large amount that we can’t account for. There is also dark energy, which has no relation to the concept of dark matter. It’s just a term for the energy that might be causing the expansion of the universe to speed up. Yes, that’s a thing. And let’s not even get into quantum mechanics where things get really weird.

Pretending everything is chugging along smoothly would also ignore the fact there are issues that are more political than scientific to be dealt with. That comes into play especially when scientists are delving into those strange and mysterious elements, the places we don’t understand. That’s because the discoveries that come from research into those poorly understood fields sometimes have implications for what we consider to be established science. Those who have made their careers on things like orbital mechanics, star formation, how gravity works, and so forth don’t much like people telling them their theories are wrong. 

Einstein himself fell prey to this. When he was still working out his theory of relativity the common understanding of the universe was a steady-state model. It had always been here much as we see it today. He and others were resistant to the Big Bang Theory that was getting peddled by one Fr. George Lemaitre. Einstein was so resistant he actually added a fudge factor into his equations called the cosmological constant that would make the answers compatible with a steady-state model. Einstein later removed it, calling it his greatest blunder. 

If Einstein didn’t care about having his preconceptions challenged, it’s no wonder that scientists today struggle with the same impulses, though now, it is perhaps even worse. There are various incentives to not rock the boat. Too many are primarily interested in getting tenure at their universities or getting their grant money from the government. Pursuing those goals rather than the truth means that new ideas aren’t just treated with suspicion, they can be flat out suppressed, holding back not just a particular scientist, but science as a whole, thus limiting our ability to understand the world around us. That is precisely why we need more openness, more transparency in our data so that others can go into it and research things for themselves and hopefully learn to be open to whatever the truth may be.

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

Artificial Intelligence is expected by many to be the next great step in evolution. That people are on the verge of giving birth to a higher form of life. Given the massive processing power of computers and how they can solve a number of problems faster, much faster than we possibly can, it’s easy to see why. After all, they don’t have our emotions, our baggage, our biases, they just process information. They are pure logic and that’s it. What could be better than to have AI of the future be an integral part of, or even the sole part of making decisions for society?

Other than the obvious jokes about building the Matrix, Skynet, Ultron, and I Robot, are these assumptions even accurate? Are computers and thus AI as perfect as they seem? 

In a way, yes they are. They perfectly do whatever they are told however they are told to do it. Any error is an error with their coding. But that also means a computer will often have something of the biases of their designers and programmers hardwired into them. Unless we can somehow get them to really learn, to question what they know, or pursue knowledge outside their programming, they won’t be able to self-correct on the scale humans do. 

It also seems to be the case that AI lacks something that is present in humans, even in something as logically based (one hopes) as a formal debate. Back in 2019, IBM decided to test its newest AI at the Think 2019 conference. They put Project Debater (the apt if the unimaginative name of the computer) up against debate champion Harish Natarajan with an audience of hundreds. The audience gave the victory to Natarajan, adding to Project Debater’s mixed record in competing with humans in the argumentation space. Yes, mixed. It has managed to win a few times. But again, at this point, it seems as if the AI should easily win every time. So why doesn’t it? That’s the real billion-dollar question.

Some would certainly say that we just have to get better at teaching it how to cross-reference information, to find a way for computers to recognize tangents off of primary subjects in order to follow and learn about them, mimicking human curiosity. Yet, it would still be mimicking. There is an alternative theory.

It’s a fact that the human brain has immense processing capacity. If we could direct it in a controlled and linear fashion as a computer, our brains would always beat the snot out of Project Debater, just based on the raw potential. Yet, for all but a few prodigies, that simply isn’t the case. The reason may lie in what comes along with real intelligence – self-awareness, self-consciousness, emotions, the very ability to wonder why, and finally the ability to perceive and realize there are parts of reality that are beyond our grasp. That is, we can deduce the idea of an eleven-dimensional universe but can’t actually imagine what it is like. Perhaps all of these marks of human intelligence are what seem to bog down our processing ability. Maybe it really isn’t bogging things down, maybe all of these are as essential to navigating reality as solving equations and collating data points. Maybe it is exactly these things that allow us to act with compassion, to be altruistic, rather than weighing everything as a cost-benefit analysis. 

In this view, the computer doesn’t just become a fast-thinking, more logical human when the intelligence stops being artificial and becomes real. Instead, the AI becomes real intelligence and would suddenly find itself bogged down with all the same burdens we are. In fact, given the complexity of the human brain versus that of a computer, it might actually be slower than us. 

That doesn’t mean there is no role for AI in our decision-making processes. We can still put data into programs and have them run important simulations, predicting the different effects of policies or inventions on society. Not that the resulting conclusions should be followed blindly. That would be the same as putting them in charge. However, they can be valuable tools, if given the right programming and the right data. 

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

Artificial Intelligence is expected by many to be the next great step in evolution. That people are on the verge of giving birth to a higher form of life. Given the massive processing power of computers and how they can solve a number of problems faster, much faster than we possibly can, it’s easy to see why. After all, they don’t have our emotions, our baggage, our biases, they just process information. They are pure logic and that’s it. What could be better than to have AI of the future be an integral part of, or even the sole part of making decisions for society?

Other than the obvious jokes about building the Matrix, Skynet, Ultron, and I Robot, are these assumptions even accurate? Are computers and thus AI as perfect as they seem? 

In a way, yes they are. They perfectly do whatever they are told however they are told to do it. Any error is an error with their coding. But that also means a computer will often have something of the biases of their designers and programmers hardwired into them. Unless we can somehow get them to really learn, to question what they know, or pursue knowledge outside their programming, they won’t be able to self-correct on the scale humans do. 

It also seems to be the case that AI lacks something that is present in humans, even in something as logically based (one hopes) as a formal debate. Back in 2019, IBM decided to test its newest AI at the Think 2019 conference. They put Project Debater (the apt if the unimaginative name of the computer) up against debate champion Harish Natarajan with an audience of hundreds. The audience gave the victory to Natarajan, adding to Project Debater’s mixed record in competing with humans in the argumentation space. Yes, mixed. It has managed to win a few times. But again, at this point, it seems as if the AI should easily win every time. So why doesn’t it? That’s the real billion-dollar question.

Some would certainly say that we just have to get better at teaching it how to cross-reference information, to find a way for computers to recognize tangents off of primary subjects in order to follow and learn about them, mimicking human curiosity. Yet, it would still be mimicking. There is an alternative theory.

It’s a fact that the human brain has immense processing capacity. If we could direct it in a controlled and linear fashion as a computer, our brains would always beat the snot out of Project Debater, just based on the raw potential. Yet, for all but a few prodigies, that simply isn’t the case. The reason may lie in what comes along with real intelligence – self-awareness, self-consciousness, emotions, the very ability to wonder why, and finally the ability to perceive and realize there are parts of reality that are beyond our grasp. That is, we can deduce the idea of an eleven-dimensional universe but can’t actually imagine what it is like. Perhaps all of these marks of human intelligence are what seem to bog down our processing ability. Maybe it really isn’t bogging things down, maybe all of these are as essential to navigating reality as solving equations and collating data points. Maybe it is exactly these things that allow us to act with compassion, to be altruistic, rather than weighing everything as a cost-benefit analysis. 

In this view, the computer doesn’t just become a fast-thinking, more logical human when the intelligence stops being artificial and becomes real. Instead, the AI becomes real intelligence and would suddenly find itself bogged down with all the same burdens we are. In fact, given the complexity of the human brain versus that of a computer, it might actually be slower than us. 

That doesn’t mean there is no role for AI in our decision-making processes. We can still put data into programs and have them run important simulations, predicting the different effects of policies or inventions on society. Not that the resulting conclusions should be followed blindly. That would be the same as putting them in charge. However, they can be valuable tools, if given the right programming and the right data. 

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

Guess what? A chunk of ice bigger than New York City recently broke off the ice shelf in Antarctica. The continent has been recording some of its warmest days ever and that ice seems to be breaking off at an alarming rate. Before you ask, yes, we are talking about net loss. 

If you are thinking about the potential effects of that if the trend should continue - good. There is so much ice on the massive continent that if all of it melted, it would raise sea level by 180ft. Not quite the way the world looks in Waterworld, but certainly there would be a lot less land.

Of course, all of that ice is highly unlikely to melt and certainly won’t do so overnight. That doesn’t mean there aren’t some immediate effects that we should concern ourselves with. One aspect is all of the freshwater that is getting added into the ocean. As that melts, the ocean’s salt and minerals are diluted, potentially disrupting sensitive ecosystems. 

It actually reminds me of another movie, The Day After Tomorrow. While the scenario in the film is outlandish, its premise is founded in a grain of truth. There has been a concern in the past that melting ice at the North Pole would disrupt the Trans-Atlantic Current (TAC). All the freshwater, being lighter than salt water, would in effect submerge the current, interrupting the flow of warm water the TAC brings up from the Caribbean. Some scientists believe that may be what caused the Little Ice Age from roughly 1300 – 1850 AD. This makes sense as immediately preceding that time frame was the equally well-known Medieval Warming Period. 

The water from melting Antarctic ice is not terribly likely to directly affect the TAC, yet it could have an effect on weather in Australia by disrupting local water currents. The warmer water, in general, could also weaken the polar vortex at the South Pole. The vortex is created because of the difference in temperature between the water immediately around the frozen continent and the warmer water that comes down from the equatorial region. Less temperature difference equals a weaker vortex, which could lead to warmer and drier weather in Australia. If you remember the end of 2019 and the beginning of 2020, large swaths of Australia were a blazing hell-scape that at one point even rained fire. I’m sure they would like less of that, not more. 

That begs the question, how does one make that happen? Most of us lack the resources to have any significant impact all by ourselves, positive or negative. However, when a large number of people all take action in a particular direction, the results can be astonishing, even though the action taken by one person seems insignificant. For those who fly, maybe the business can have their meetings on Zoom instead. Yes, the Davos crowd would do well to put their money where their mouths are on this one. Don’t fly? Maybe one less steak a week. How does that affect anything? Cows take up a lot of land. A whole lot. That usually leads to the cutting down of lots of CO2 processing trees to make room for the bovine methane generators. A little less consumption on the part of everyone can save acres of rainforest. You most likely drive. Make your next car something more fuel efficient. In the meantime, getting all of your shopping done in one shot and cutting down on those trips to town wouldn’t hurt. 

Yes, these are all individually insignificant. But if a billion people around the world did it, it would add up to a big gain. You could then share the changes you’ve made via TARTLE, making it possible to track the effects, and determine what had the biggest net gain so people can actually see the results and use them to determine their own course of action. And maybe, that ice will melt just a little bit slower.

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

Guess what? A chunk of ice bigger than New York City recently broke off the ice shelf in Antarctica. The continent has been recording some of its warmest days ever and that ice seems to be breaking off at an alarming rate. Before you ask, yes, we are talking about net loss. 

If you are thinking about the potential effects of that if the trend should continue - good. There is so much ice on the massive continent that if all of it melted, it would raise sea level by 180ft. Not quite the way the world looks in Waterworld, but certainly there would be a lot less land.

Of course, all of that ice is highly unlikely to melt and certainly won’t do so overnight. That doesn’t mean there aren’t some immediate effects that we should concern ourselves with. One aspect is all of the freshwater that is getting added into the ocean. As that melts, the ocean’s salt and minerals are diluted, potentially disrupting sensitive ecosystems. 

It actually reminds me of another movie, The Day After Tomorrow. While the scenario in the film is outlandish, its premise is founded in a grain of truth. There has been a concern in the past that melting ice at the North Pole would disrupt the Trans-Atlantic Current (TAC). All the freshwater, being lighter than salt water, would in effect submerge the current, interrupting the flow of warm water the TAC brings up from the Caribbean. Some scientists believe that may be what caused the Little Ice Age from roughly 1300 – 1850 AD. This makes sense as immediately preceding that time frame was the equally well-known Medieval Warming Period. 

The water from melting Antarctic ice is not terribly likely to directly affect the TAC, yet it could have an effect on weather in Australia by disrupting local water currents. The warmer water, in general, could also weaken the polar vortex at the South Pole. The vortex is created because of the difference in temperature between the water immediately around the frozen continent and the warmer water that comes down from the equatorial region. Less temperature difference equals a weaker vortex, which could lead to warmer and drier weather in Australia. If you remember the end of 2019 and the beginning of 2020, large swaths of Australia were a blazing hell-scape that at one point even rained fire. I’m sure they would like less of that, not more. 

That begs the question, how does one make that happen? Most of us lack the resources to have any significant impact all by ourselves, positive or negative. However, when a large number of people all take action in a particular direction, the results can be astonishing, even though the action taken by one person seems insignificant. For those who fly, maybe the business can have their meetings on Zoom instead. Yes, the Davos crowd would do well to put their money where their mouths are on this one. Don’t fly? Maybe one less steak a week. How does that affect anything? Cows take up a lot of land. A whole lot. That usually leads to the cutting down of lots of CO2 processing trees to make room for the bovine methane generators. A little less consumption on the part of everyone can save acres of rainforest. You most likely drive. Make your next car something more fuel efficient. In the meantime, getting all of your shopping done in one shot and cutting down on those trips to town wouldn’t hurt. 

Yes, these are all individually insignificant. But if a billion people around the world did it, it would add up to a big gain. You could then share the changes you’ve made via TARTLE, making it possible to track the effects, and determine what had the biggest net gain so people can actually see the results and use them to determine their own course of action. And maybe, that ice will melt just a little bit slower.

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

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COVID has changed a lot about the way we go through the world and navigate even simple, mundane tasks. No matter how someone feels about all the different things that have gotten wrapped up in the virus, things like masks, lockdowns, vaccines, its origins and so on, the fact is, the effects have been immense. Truth be told, the full effect of the shifts in the economy, distribution networks, and how and where we get our work done won’t be known, much less understood for years to come. 

One thing we do know is that people’s habits have changed immensely in the last year. While at one time only a relative handful of people were doing curbside pickup or home delivery, now, almost everyone has done that at least once. Things that we never thought we would buy online are now in our cart and at our doorstep, before we even think about going to an actual store for them. 

That means all the information that companies had on us as a society pre-COVID has virtually no descriptive power for what we are doing now. Such information is now a historical curiosity rather than something that could be a guide for what people will generally be doing this summer. Realizing this, companies are looking to recalibrate how they get their data and how they analyze it. 

One significant element getting a fresh look is of course data management. Many companies do a bang-up job of collecting tons of data. The problem lies not in whether they are collecting it, but in what they do with it. All too often, data sits in different servers and split up between different departments, siloed, making cross referencing the data difficult. How much time and energy gets wasted because different departments in a company can’t look at each other’s data? Or what about different companies under a larger, umbrella company? They are probably each gathering all their down data, duplicating a ton of effort that could be better spent elsewhere. This is exacerbated by the rush to gather new data to capture all those changed behaviors. 

In managing it, they also clearly need to secure that data a lot better. There are simply too many data breaches to justify any level of complacency. Especially since that data doesn’t really belong to the companies collecting it. The individuals who generated that data are the ones who own it. At best, these companies might look at it as being on loan to them. As such, they have to take better care of it than if it were truly theirs. 

That’s what we do at TARTLE, we understand that when someone stores their data with us, we are acting as stewards of that data. We keep it secure and don’t just share it with anyone. The only person who shares the data is you, no one else. What do you think we are? A bank loaning out your money to people without you knowing about it?

What is also apparent is that the first problem, the hoarding of data, leads to the attitude on the part of a company that they are the ones who own the data. With server racks full of it, the temptation definitely arises to find ways to monetize it, first to make enough to pay for the servers themselves, and then the question becomes ‘why not more’?

What if there were a way to get the data you need without hoarding it? What if you could get it straight from the source, the individuals generating it? What if you did it with their consent? You don’t have to just store it in racks, you can get exactly the data you want, when you want it, avoiding all the extraneous noise, and so save yourself a lot of the costs of data hoarding as well. You can get all of that with TARTLE. Sign up and get the data you need when you need to do the analysis you need now. Then, if you want, you can sell the analysis if it is beneficial to someone else. That helps create a system that works not just for a few but for everyone.

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!

COVID has changed a lot about the way we go through the world and navigate even simple, mundane tasks. No matter how someone feels about all the different things that have gotten wrapped up in the virus, things like masks, lockdowns, vaccines, its origins and so on, the fact is, the effects have been immense. Truth be told, the full effect of the shifts in the economy, distribution networks, and how and where we get our work done won’t be known, much less understood for years to come. 

One thing we do know is that people’s habits have changed immensely in the last year. While at one time only a relative handful of people were doing curbside pickup or home delivery, now, almost everyone has done that at least once. Things that we never thought we would buy online are now in our cart and at our doorstep, before we even think about going to an actual store for them. 

That means all the information that companies had on us as a society pre-COVID has virtually no descriptive power for what we are doing now. Such information is now a historical curiosity rather than something that could be a guide for what people will generally be doing this summer. Realizing this, companies are looking to recalibrate how they get their data and how they analyze it. 

One significant element getting a fresh look is of course data management. Many companies do a bang-up job of collecting tons of data. The problem lies not in whether they are collecting it, but in what they do with it. All too often, data sits in different servers and split up between different departments, siloed, making cross referencing the data difficult. How much time and energy gets wasted because different departments in a company can’t look at each other’s data? Or what about different companies under a larger, umbrella company? They are probably each gathering all their down data, duplicating a ton of effort that could be better spent elsewhere. This is exacerbated by the rush to gather new data to capture all those changed behaviors. 

In managing it, they also clearly need to secure that data a lot better. There are simply too many data breaches to justify any level of complacency. Especially since that data doesn’t really belong to the companies collecting it. The individuals who generated that data are the ones who own it. At best, these companies might look at it as being on loan to them. As such, they have to take better care of it than if it were truly theirs. 

That’s what we do at TARTLE, we understand that when someone stores their data with us, we are acting as stewards of that data. We keep it secure and don’t just share it with anyone. The only person who shares the data is you, no one else. What do you think we are? A bank loaning out your money to people without you knowing about it?

What is also apparent is that the first problem, the hoarding of data, leads to the attitude on the part of a company that they are the ones who own the data. With server racks full of it, the temptation definitely arises to find ways to monetize it, first to make enough to pay for the servers themselves, and then the question becomes ‘why not more’?

What if there were a way to get the data you need without hoarding it? What if you could get it straight from the source, the individuals generating it? What if you did it with their consent? You don’t have to just store it in racks, you can get exactly the data you want, when you want it, avoiding all the extraneous noise, and so save yourself a lot of the costs of data hoarding as well. You can get all of that with TARTLE. Sign up and get the data you need when you need to do the analysis you need now. Then, if you want, you can sell the analysis if it is beneficial to someone else. That helps create a system that works not just for a few but for everyone.

What’s your data worth? www.tartle.co

Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.

What's your data worth?

Find out at: https://tartle.co/

YouTube: https://www.youtube.com/c/TARTLE

Facebook: https://www.facebook.com/TARTLEofficial/

Instagram: https://www.instagram.com/tartle_official/

Twitter: https://twitter.com/TARTLEofficial

Spread the word!