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Well, the reality is that automation is now making its way into our space. It has, in fact for a long time, and we haven’t used the language of automation, but we have a design firm here at GoInvo and for many years, the core tools for our team, among them at least, is the Adobe Creative Suite, and that is software that’s loaded with automation, that has drastically automated what design means over the last 30 years now.
This show is about the fact that automation is coming more quickly, in a way that is woven more into the very day work lives of me, of you, of people like us, all kinds of people. This is impacting researchers, writers, artists, designers, engineers, entrepreneurs among others. It’s going to change our work. It’s going to change our jobs. Tasks first are going to be falling to the automation, some of that automation will simply take the tasks over, some and more commonly it will be augmenting, so they will be tools that are helping us to perform tasks more quickly, giving us more power.
Again, going back to the Adobe Creative Suite example. But, those will in turn change what our jobs look like. They’ll change the skills required, the tasks required, and for folks to be ahead of that, to have it be a tool that is improving our career, improving our chances, giving us more longevity, and more ability to really thrive not just survive, we’ve got to be ready for that. We’ve got to be knowledgeable, we’ve got to be thinking, we’ve got to be learning, and Creative Next is about exploring all of that stuff.
It’s not what we’re reading about and learning, it’s different. It’s more subtle. It’s more integrated into our lives, and it has a more direct and real impact on our work lives in particular, in the short term. In the years ahead. People weren’t talking about that. It was still stuff that would be down the artificial general intelligence path, or stuff about goofy robots. I really felt like people are looking in the wrong place, and so for me it was like this is something people need to be aware of, it’s a story that needs to be told, and it will help a lot of people, because we’re understanding things that are going to really impact the world of work in the years ahead, and it’s going to surprise a lot of people.
The people who aren’t surprised, the people who are striving with it, and us, and hopefully our listeners, and hopefully much even broader than that, but are going to be at an advantage, are going to be protected, are going to be … In the language you’re using on the show, future proofed. For me, it was something that the discover of it surprised me, the learning of it enlightened me, and I found a calling that this was something that needed to be done to be of service to people who I consider my peers, my friends, my colleagues, people I’m sharing community and history with.
This long transition, which we are currently experiencing from a more industrialized economy into more of an information economy. Understanding that those changes really sparks a lot of interest from me. I’m interested in this kind of transformation. For me, this podcast Creative Next is … It’s a podcast, it’s also a much more focused research project in a lot of ways. We’re going to be talking to experts on AI, experts on design, on technology, similar to The Digital Life in that way, but exploring this thesis around what’s next for a creative economy. So, that’s another thing that excites me about the show, is just the focus and the research aspect to it as well.
From there, we pivot to looking at how machines learn, and then specifically how learning machines have been participating in, and influencing games. We get into chess, we look at … You know, chess was the first of the major strategy games that AI defeated, it’s now been over 20 years ago. That’s given us 20 years to study once a machine dominates a game, what happens to that game, and what happens to the people who play and compete in that game?
We explore that, and then we move into poker, which is more recent. Understand how humans were able to build a machine that beat the best players, but then what has that done to the poker community just over the last two years? What impact has that had on strategy, on play, how are poker pros using machines? Which was pretty cool, too. That got us through about half of the season, and then we move into learning in the most direct way. Series of five shows, I think are really strong, where we start by looking at how is learning functioning in the corporate world, then talking with a high school principal, how is learning functioning in high school, then how is learning functioning in university, then how is learning functioning for young adults from a student perspective, how are they learning both in and out of the university, and then finally to online learning and lifelong learning, and how those things are manifesting.
Before then, finishing off by taking a look at where AI is headed, where automation is headed. In the years ahead, what are some things that will be changing, and contextualizing those in the future season. Maybe that’s a long winded overview, but that’s … Season one is about learning, and that’s the journey that we’ve taken with it.
But then a lot of new blood. A lot of people that will definitely be new to our listeners, and new to our shows. Chris Chabris, fantastically smart author, professor and columnist for the Wall Street Journal, talking with us about chess. Tobi Bisetti, senior machine learning engineer as episode two, and she really gives us a good framework for what we’re talking about here, when we’re talking about AI and machine learning. The real stuff, not the scifi stuff. The nuts and bolts, among others, and we have 12 guests in this first season, and I think it’s a fantastic crew.
Function then is going to pivot in season four to engineering. How we make things work, and how we will automate the way that we make things work. Then season five is going to be on leadership, and that’s going to come from a couple different directions. One is about leadership in management, how those things will be automated. The other part of leadership is how leaders can implement automation solutions, at scales small and large, into their organizations, whether their organizations are small or large, and really understanding what is it going to look like to be shifting, and to be leading the shift into automated work places.
Season six is going to be called, “You.” It’s going to look at our lives, and look in the most direct way, regardless of whether you’re an engineer, or an artist, or a journalist, or a research scientist. How will this impact you, how can you make the most of it? How can AI automation not be something that’s a little scary, that’s a little uncertain, that feels destabilizing, but it’s something that’s empowering, that is something that really is a tool for good in your life, in the life of people who count on you, and count on your ability to make an income. But also good for the world at large, and how you and those tools could be a catalyst for that. That’s our plan.
Listeners, remember that while you’re listening to this show, you can follow along with the things that we’re mentioning here in real time, just head over to thedigitalife.com, that’s just one L in the digital life, and go to the page for this episode. We’ve included links to pretty much everything mentioned by everyone, so it’s a rich information resource to take advantage of while you’re listening, or afterward if you’re trying to remember something that you liked. You can find The Digital Life on iTunes, SoundCloud, Stitcher, Player Fm and Google Play, and if you’d like to follow us outside of the show, you can follow me on Twitter @jonfollett, that’s J-O-N, F-O-L-L-E-T-T, and of course the whole show is brought to you by GoInvo, a studio designing the future of healthcare and emerging technologies, which you can check out at goinvo.com. That’s G-O-I-N-V-O dot com. Dirk?
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Well, the reality is that automation is now making its way into our space. It has, in fact for a long time, and we haven’t used the language of automation, but we have a design firm here at GoInvo and for many years, the core tools for our team, among them at least, is the Adobe Creative Suite, and that is software that’s loaded with automation, that has drastically automated what design means over the last 30 years now.
This show is about the fact that automation is coming more quickly, in a way that is woven more into the very day work lives of me, of you, of people like us, all kinds of people. This is impacting researchers, writers, artists, designers, engineers, entrepreneurs among others. It’s going to change our work. It’s going to change our jobs. Tasks first are going to be falling to the automation, some of that automation will simply take the tasks over, some and more commonly it will be augmenting, so they will be tools that are helping us to perform tasks more quickly, giving us more power.
Again, going back to the Adobe Creative Suite example. But, those will in turn change what our jobs look like. They’ll change the skills required, the tasks required, and for folks to be ahead of that, to have it be a tool that is improving our career, improving our chances, giving us more longevity, and more ability to really thrive not just survive, we’ve got to be ready for that. We’ve got to be knowledgeable, we’ve got to be thinking, we’ve got to be learning, and Creative Next is about exploring all of that stuff.
It’s not what we’re reading about and learning, it’s different. It’s more subtle. It’s more integrated into our lives, and it has a more direct and real impact on our work lives in particular, in the short term. In the years ahead. People weren’t talking about that. It was still stuff that would be down the artificial general intelligence path, or stuff about goofy robots. I really felt like people are looking in the wrong place, and so for me it was like this is something people need to be aware of, it’s a story that needs to be told, and it will help a lot of people, because we’re understanding things that are going to really impact the world of work in the years ahead, and it’s going to surprise a lot of people.
The people who aren’t surprised, the people who are striving with it, and us, and hopefully our listeners, and hopefully much even broader than that, but are going to be at an advantage, are going to be protected, are going to be … In the language you’re using on the show, future proofed. For me, it was something that the discover of it surprised me, the learning of it enlightened me, and I found a calling that this was something that needed to be done to be of service to people who I consider my peers, my friends, my colleagues, people I’m sharing community and history with.
This long transition, which we are currently experiencing from a more industrialized economy into more of an information economy. Understanding that those changes really sparks a lot of interest from me. I’m interested in this kind of transformation. For me, this podcast Creative Next is … It’s a podcast, it’s also a much more focused research project in a lot of ways. We’re going to be talking to experts on AI, experts on design, on technology, similar to The Digital Life in that way, but exploring this thesis around what’s next for a creative economy. So, that’s another thing that excites me about the show, is just the focus and the research aspect to it as well.
From there, we pivot to looking at how machines learn, and then specifically how learning machines have been participating in, and influencing games. We get into chess, we look at … You know, chess was the first of the major strategy games that AI defeated, it’s now been over 20 years ago. That’s given us 20 years to study once a machine dominates a game, what happens to that game, and what happens to the people who play and compete in that game?
We explore that, and then we move into poker, which is more recent. Understand how humans were able to build a machine that beat the best players, but then what has that done to the poker community just over the last two years? What impact has that had on strategy, on play, how are poker pros using machines? Which was pretty cool, too. That got us through about half of the season, and then we move into learning in the most direct way. Series of five shows, I think are really strong, where we start by looking at how is learning functioning in the corporate world, then talking with a high school principal, how is learning functioning in high school, then how is learning functioning in university, then how is learning functioning for young adults from a student perspective, how are they learning both in and out of the university, and then finally to online learning and lifelong learning, and how those things are manifesting.
Before then, finishing off by taking a look at where AI is headed, where automation is headed. In the years ahead, what are some things that will be changing, and contextualizing those in the future season. Maybe that’s a long winded overview, but that’s … Season one is about learning, and that’s the journey that we’ve taken with it.
But then a lot of new blood. A lot of people that will definitely be new to our listeners, and new to our shows. Chris Chabris, fantastically smart author, professor and columnist for the Wall Street Journal, talking with us about chess. Tobi Bisetti, senior machine learning engineer as episode two, and she really gives us a good framework for what we’re talking about here, when we’re talking about AI and machine learning. The real stuff, not the scifi stuff. The nuts and bolts, among others, and we have 12 guests in this first season, and I think it’s a fantastic crew.
Function then is going to pivot in season four to engineering. How we make things work, and how we will automate the way that we make things work. Then season five is going to be on leadership, and that’s going to come from a couple different directions. One is about leadership in management, how those things will be automated. The other part of leadership is how leaders can implement automation solutions, at scales small and large, into their organizations, whether their organizations are small or large, and really understanding what is it going to look like to be shifting, and to be leading the shift into automated work places.
Season six is going to be called, “You.” It’s going to look at our lives, and look in the most direct way, regardless of whether you’re an engineer, or an artist, or a journalist, or a research scientist. How will this impact you, how can you make the most of it? How can AI automation not be something that’s a little scary, that’s a little uncertain, that feels destabilizing, but it’s something that’s empowering, that is something that really is a tool for good in your life, in the life of people who count on you, and count on your ability to make an income. But also good for the world at large, and how you and those tools could be a catalyst for that. That’s our plan.
Listeners, remember that while you’re listening to this show, you can follow along with the things that we’re mentioning here in real time, just head over to thedigitalife.com, that’s just one L in the digital life, and go to the page for this episode. We’ve included links to pretty much everything mentioned by everyone, so it’s a rich information resource to take advantage of while you’re listening, or afterward if you’re trying to remember something that you liked. You can find The Digital Life on iTunes, SoundCloud, Stitcher, Player Fm and Google Play, and if you’d like to follow us outside of the show, you can follow me on Twitter @jonfollett, that’s J-O-N, F-O-L-L-E-T-T, and of course the whole show is brought to you by GoInvo, a studio designing the future of healthcare and emerging technologies, which you can check out at goinvo.com. That’s G-O-I-N-V-O dot com. Dirk?