Episode 26: (Data Bites) The Inevitability of Digital Transformation

People only seem to care about the results of a particular action. Given that Digital Transformation is likely the real characterization of this, the fourth industrial revolution, we can safely assume that digital technologies will result in a new wave of easy of use in everything that we do day to day.

In this episode we take a historical approach to understanding what Digital Transformation will mean for every industry.

To keep up with the podcast be sure to visit our website at datacouture.org, follow us on twitter @datacouturepod, and on instagram @datacouturepodcast. And, if you’d like to help support future episodes, then consider becoming a patron at patreon.com/datacouture!

Music for the show: Foolish Game / God Don’t Work On Commission by spinmeister (c) copyright 2014 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/spinmeister/46822 Ft: Snowflake

Show Notes:

Welcome to data couture, the podcast about data culture at work at home, and on the go. I’m your host, Jordan Bohall. If you like what you hear, be sure to subscribe lows, get the latest episodes wherever you get podcasts.
And if you’d like to stay up to date on everything data couture, be sure to follow us on Twitter at data couture pod. Finally, if you’d like to help support this in future episodes, consider becoming a patron of the podcast through our
Patreon page@patreon.com. forward slash data couture.
Now on to the show.

I’m your host Jordan, on today’s episode, we’re going to be once again following up on something that Tony Saldana said in our episode on Monday where Tony was speaking about digital transformation and the various aspects of that. And I’m sure you remember, but there are very, very many different definitions of digital transformation and lots of different ways to approach it. But something that I really liked about Tony’s perspective, is this historical perspective. And so he couch digital transformation and terms of the fourth great industrial revolution. And in some of his writings, for those of you who have paid attention to what Tony’s saying, He gives a great example of what disruption has done and different timeframes for transportation. And so for example, he starts with the horse and buggy being outstripped by, say, railroad travel and railroad travel, then being outstripped by cars and trucks and personal automobiles.

And then, of course, with the rise of planes. And then now with automated vehicles, vehicles that can drive themselves we see this sort of transgression from horse and buggy all the way up through to cars that can drive themselves. And the idea that he’s trying to get out with each one of these transformations. Each one of these big momentous moments and the transition industry is that the train was seen as this great, horrible thing that’s going to take away so many jobs, it’s going to take away so many opportunities for people to work because there was so much industry around the horse and buggy market. And of course, when the personal automobile came out, there was a similar fear that the new automobiles new cars and trucks would completely disrupt the train industry which to a greater or lesser extent it did. Same with planes, planes disrupted a lot of travel by car that lots of people participated in.

And now with these automated vehicles, but these vehicles that are self driving, again, will disrupt the plane industry, the the automotive industry, the general transportation industries. And his point was that it’s not so much about the core operations behind each one of these things, providing something different to the consumer, it’s the consumer driving these changes. And so the consumer just wants to get somewhere, I just want to get somewhere, I want to do it in a way that’s most efficient and effective. For me, for example, I love driving, I really love driving. In fact, I’ve got a car that would suggest that I am very much a gearhead, which I am. But nevertheless, you know, it’s often the case that I have to drive for three hours, sometimes five, six hours and other times, sometimes 12 hours, 14 hours. And frankly, I just want to sit back and listen to podcasts or watch a movie or read or, you know, surf the internet, look at social media. And what can do that for me. Well, Carla can drive itself.

Frankly, I don’t have to wait in line and security gates or sit around a bunch of people I don’t know, on airplanes, I don’t have to do driving myself, as is the case with my normal car, I don’t have to sit on a train with a bunch of strangers, I don’t have to sit on a bus, I don’t do all these things, the outcome that I want is to get somewhere. And I can do that in a way with these vehicles that drive themselves in a way that’s totally personal. That’s a way that fits my life in the best possible manner. And so what I think Tony’s saying here, and I’m guessing he might disagree, or nevertheless, comments on what I’m saying here. But in the case of artificial intelligence, and machine learning and predictive analytics, they’re just another instantiate.

They’re just the next line in the technological progression of Excel, or the personal computer or people who had to type out everything on typewriters or people before that, who had to manually write stuff down or manually computer. Right? The idea is, these new technologies allow us to effectively do things faster, more efficiently, they do it in the background, just like a self driving card effectively gets you from point A to point B in the background while you’re doing other things. And AI and machine learning, predictive analytics, and the rest of it allows us to do all these things that are drudgery, they’re they’re things that I don’t know, I they’re not really human endeavors right there.

They’re very well suited to being automated in the way that these new technologies can offer. And why do we care? Well, because it allows us to other things that we care about, namely thinking creatively doing things that are creative, doing things that require critical thinking. And so part of our digital transformation is just kind of the natural progression of technology in the same way that self driving cars and the natural progression from horse and buggy, all the way up rude to modern times. And so it seems almost like digital transformation is necessary. It’s not even necessary. It’s It’s obvious, it’s, it’s not even obvious that might be trivial.

I don’t know, I don’t know how to describe it, I suppose it’s, it’s just going to happen, right? So whether or not you like it, or whether or not your company is prepared for it, digital transformation is happening. And so it’s on you to make sure that it happens in the in the easiest way possible. And the way to do that is to surprise, get your workforce to think critically and think creatively so that they’re prepared for when all these bits of machine learning and robots and AI come to do the drudgery work that they’ve been doing for years and years.

And when that’s the case, we can all get on with our lives and much in a much better fashion. Well, I’d love to hear your thoughts, please feel free to leave them below. And I’ll talk to you soon. That’s it for the show. Thank you for listening. And if you liked what you’ve heard, think consider leaving a comment or like down below. Stay up to date on everything data couture, be sure to follow us on Twitter at data tour pod. consider becoming a patron@patreon.com forward slash data couture music for the podcast. It’s called foolish game. God don’t work on commission by the artist spin Meister used under the Creative Commons Attribution 3.0 license, writing, editing and production of the podcast is by your host Jordan Bohall

Liked it? Take a second to support Data Couture on Patreon!

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.