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Speaker 1: Welcome to the Restless Ones. I'm Jonathan Strickland. I've spent

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Speaker 1: the last twelve years covering technology and learning how it works,

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Speaker 1: demystifying everything from massive parallel processing to advanced robotics and

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Speaker 1: everything in between. As we stand at the beginning of

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Speaker 1: a new era of unprecedented connectivity with the rollout of

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Speaker 1: five G technology, I'm partnering with T Mobile for Business

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Speaker 1: to sit down with some of the visionary leaders in

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Speaker 1: tech across all industries, from companies like Universal Music Group

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Speaker 1: and fed X and many more that play an integral

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Speaker 1: part of our economy to get a better understanding of

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Speaker 1: how tech and connectivity will change business forever. These leaders

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Speaker 1: are the pioneers who don't follow trends. They define them.

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Speaker 1: This show is their story. They are the restless Ones.

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Speaker 1: So with the advent of five G, you with that

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Speaker 1: amazing network capability, with the advent of new sensor technology

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Speaker 1: that's again going to be in the billions around the world,

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Speaker 1: there's no doubt that the data that's coming in is

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Speaker 1: going to be extraordinary in size. REDDA statistic that says

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Speaker 1: that we're going to have ten times the amount of

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Speaker 1: data produced that was produced in imagine that level of

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Speaker 1: data and information coming in now. My question is do

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Speaker 1: we have the computation power, do we have the people,

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Speaker 1: do we have the know how, and do we have

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Speaker 1: the algorithms to actually analyze that data and make sense

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Speaker 1: out of it to help move society forward. I got

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Speaker 1: to sit down with a Shock Servastava, the Chief Data

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Speaker 1: Officer for into It. As c DO, Servastava's responsibilities include

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Speaker 1: using emerging technologies to better serve into it and It's customers.

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Speaker 1: He is a big thinker who sees the opportunities presented

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Speaker 1: by cutting edge technologies like artificial intelligence and machine learning,

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Speaker 1: both within the financial industry and beyond. Moreover, he sees

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Speaker 1: how the next wave of connectivity will enable these technologies

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Speaker 1: to transform the world in truly profound ways, from helping

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Speaker 1: business owners make critical financial decisions about dynamic situations at

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Speaker 1: a moment's notice, to leveraging technology in an effort to

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Speaker 1: monitor and combat climate change. Serravastava envisions a world empowered

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Speaker 1: by technology, data, and five G connectivity. He explained how

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Speaker 1: advanced technologies will help US monitor and foster financial well being,

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Speaker 1: just as CVS Healths Chief Digital Officer for US, Bethana

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Speaker 1: described how these technologies will impact our physical health. In

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Speaker 1: our previous episode, I asked a show to share some

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Speaker 1: of the insight he has developed as a leader in

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Speaker 1: tech a choke. I want to thank you so much

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Speaker 1: for joining me today. It's a real pleasure to get

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Speaker 1: a chance to speak with you. Well, first of all, Jonathan,

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Speaker 1: thank you so much for inviting me to do this podcast.

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Speaker 1: It's very exciting for me a show. What areas of

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Speaker 1: tech particularly excite you? So I work in the field

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Speaker 1: of artificial intelligence, so that's what really keeps me going

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Speaker 1: and excited. So artificial intelligence and machine learning are terms

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Speaker 1: that I love, but there are also terms that I

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Speaker 1: feel tend to get very fuzzy the way people talk

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Speaker 1: about them. Artificial intelligence to me is one of those

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Speaker 1: things that can mean so many different things to so

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Speaker 1: many different people. So I'm curious, could you perhaps give

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Speaker 1: us what what your personal definitions are for those terms. Yeah. Absolutely,

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Speaker 1: Artificial intelligence is the science that's the study of making

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Speaker 1: machines that can exhibit some of the capabilities that humans have,

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Speaker 1: giving it that ability to understand and maybe even take

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Speaker 1: an action. Those are some of the things that I

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Speaker 1: find exciting in artificial intelligence. And machine learning is an

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Speaker 1: important component of it because you and I as we

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Speaker 1: grew up, we learned from examples. We watched other people,

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Speaker 1: we read things, heard music, we went to the zoo,

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Speaker 1: We learned things about the world around us by seeing examples. Well,

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Speaker 1: machine learning is the mathematical way that we can give

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Speaker 1: machines the ability to learn from examples. And so these

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Speaker 1: two things go hand in hand, and they're extremely exciting

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Speaker 1: because what we're seeing today is a huge revolution in

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Speaker 1: the field which is starting to power a lot of

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Speaker 1: the things that we take for granted. A show points

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Speaker 1: out a really fundamental idea here the humans do outperform

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Speaker 1: machines in areas of learning, but his goals are to

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Speaker 1: bridge that gap. I wanted to find out how can

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Speaker 1: he leverage both machine learning and artificial intelligence Today as

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Speaker 1: c do of into it, the goals that we have

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Speaker 1: are to number one, deliver the best value and the

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Speaker 1: best experiences to our customers to help them power prosperity

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Speaker 1: around the world. And as we're doing that, we're thinking

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Speaker 1: about how artificial intelligence, machine learning, and data can come

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Speaker 1: together in order to power those experiences. And we're doing

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Speaker 1: it across the product portfolio. We think about things in

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Speaker 1: Turbo tax or in MINT or in quick books, and

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Speaker 1: using the knowledge that we have, using the data and

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Speaker 1: the artificial intelligence and machine learning to really give better

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Speaker 1: experiences to our end customers. I don't know if you

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Speaker 1: have looked at the I R. S Code, the tax code,

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Speaker 1: but it's literally eighty thousand pages. Now, when I think

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Speaker 1: about reading eighty thousand pages of code, I can't even

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Speaker 1: imagine where to begin or where to end. But we

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Speaker 1: have to have an understanding of literally every line of

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Speaker 1: that tax code. We've built capabilities to actually ingest what

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Speaker 1: meaning read that documentation and produce computer code that interprets

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Speaker 1: the US tax code. So that's just one example. This

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Speaker 1: is one of the most phenomenal and frankly one of

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Speaker 1: the deepest examples of the use of knowledge engineering, natural

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Speaker 1: language processing, and machine learning that I've come across, because

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Speaker 1: now we have actually a graph of information in our

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Speaker 1: machines that can help us understand and interpret the U

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Speaker 1: S tax code so that we can give the best

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Speaker 1: experience to our customers. There are many other examples where

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Speaker 1: we have helped people make a determination whether they should

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Speaker 1: use standard versus itemized tax deductions. It's a big deal

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Speaker 1: because if you go down the itemized route, it can

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Speaker 1: take you a lot of time to fill out your taxes.

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Speaker 1: In some cases, we're able to differentiate between the two,

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Speaker 1: saving people millions of hours of time across the United States.

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Speaker 1: So these are examples of where AI is operating, and

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Speaker 1: I'll point out that the consumer doesn't know that AI

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Speaker 1: is operating and there it's not like it ashes on

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Speaker 1: the screen. It's just happening in the background, which is

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Speaker 1: a great experience for people because they just want to

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Speaker 1: get their work done. We're seeing these sort of applications

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Speaker 1: across multiple industries. Right where this is a phenomenal example

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Speaker 1: because you've just taken something that is truly complex for

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Speaker 1: human beings. I was just talking about how humans are

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Speaker 1: really good at, you know, figuring out broad categories from

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Speaker 1: a few examples. This is the opposite, right where you've

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Speaker 1: got a massive amount of information, and we know that

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Speaker 1: human beings are not great at dealing with large amounts

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Speaker 1: of information. Once you get past a certain amount, our

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Speaker 1: capacity to handle it starts to drop off dramatically, and

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Speaker 1: for something as pivotal as as taxes, that's not a

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Speaker 1: good thing. So in what other ways have you seen this,

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Speaker 1: this sort of rise in the complexity and sophistication of

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Speaker 1: machine learning and artificial intelligence. Uh, kind of grow in

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Speaker 1: other industries. How is it starting to change our world?

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Speaker 1: So many years ago, I used to work for NASA

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Speaker 1: and I saw some of the most exciting applications of

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Speaker 1: AI and machine learning there. So, if you think about

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Speaker 1: the commercial airline industry in the United States and around

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Speaker 1: the world, we have millions of airplanes that are flying,

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Speaker 1: millions of flights that are in operation on a daily basis. Now,

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Speaker 1: as that data comes in off of those aircraft, the

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Speaker 1: question is do we have the ability to analyze that

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Speaker 1: in real time and make some determinations about safety, about

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Speaker 1: the aircraft's health and so forth. And once you have

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Speaker 1: that data, you can't just look at it in tabular form.

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Speaker 1: Nobody can do that. But what you can do is

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Speaker 1: synthesize it through machines, through machine learning, and then actually

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Speaker 1: developed models that can help people make better predictions and

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Speaker 1: understanding what's happening. Yeah, and I love that you're main

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Speaker 1: shaying real time that's a very important component to what

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Speaker 1: I'm interested in as well, and that you know we're

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Speaker 1: you've entered into this era where people call it big data.

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Speaker 1: At this point, we're talking bigger data because we're gathering

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Speaker 1: data from so many different sources, whether it's people uh

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Speaker 1: interacting with technology directly, whether it's sensors that are embedded

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Speaker 1: in various systems, and we're seeing more and more sophisticated

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Speaker 1: back end systems to h to analyze and make use

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Speaker 1: of that data. At the same time, now we're starting

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Speaker 1: to enter into a new level of connectivity where we're

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Speaker 1: able to get ubiquitous, fast, high throughput, low latency connectivity. Uh.

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Speaker 1: I would imagine that this is going to open up

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Speaker 1: an entire new world of opportunities for various implementations of

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Speaker 1: technologies that could be truly transformative. I'm wondering, have you

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Speaker 1: given much thought to what the potential is in a

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Speaker 1: world where we have uh, you know, unprecedented broadband connectivity

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Speaker 1: that is truly persistent and ubiquitous absolute. Really, this is

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Speaker 1: a world that's going to be so incredibly exciting and

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Speaker 1: will lead to such profound changes. Let me tell you why.

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Speaker 1: I say that. So, once you have that level of bandwidths,

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Speaker 1: that much network connectivity worldwide, and we started deploying sensors

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Speaker 1: not just a few hundred or a few thousand, and

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Speaker 1: talking about billions of sensors around the world, We're going

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Speaker 1: to have information and data about what's happening on every

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Speaker 1: corner of the planet. And as that information comes in

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Speaker 1: through these high speed networks with low latency, as we

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Speaker 1: build the right algorithms, as we have the right computer infrastructure,

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Speaker 1: we should start to be able to extract patterns about

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Speaker 1: what's happening on our planet on a real time basis.

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Speaker 1: But I really feel that with these advances in network technology,

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Speaker 1: with the advances that we're seeing in computing, and frankly

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Speaker 1: with the advances that we're seeing in AI and machine learning,

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Speaker 1: we're going to be living in a world where we

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Speaker 1: have information at our fingertips that's really actionable, that helps

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Speaker 1: us understand what to do next as things change around us.

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Speaker 1: Do you anticipate this, this level of advancement in connectivity,

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Speaker 1: as well as in machine learning and artificial intelligence, playing

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Speaker 1: an even larger role in what you're doing here? Absolutely,

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Speaker 1: as we're moving forward and into it, what I see

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Speaker 1: happening is greater volumes of data and much more importantly

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Speaker 1: important customer problems that we have to solve. We really

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Speaker 1: need to help people do better in their financial lives worldwide.

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Speaker 1: And I believe that through the use of AI and

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Speaker 1: machine learning and the data that we're getting, we're going

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Speaker 1: to help people make better financial decisions. The fact is

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Speaker 1: that a lot of people find themselves in situations where

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Speaker 1: they're not quite sure what the right financial strategy should be.

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Speaker 1: Imagine a world in which AI, machine learning, and data

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Speaker 1: come together to help a person make better decisions so

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Speaker 1: that they can have a more prosperous life, they can

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Speaker 1: have a more happy life. This is what really brings

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Speaker 1: me to work every day. This is what excites me

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Speaker 1: because I see a future in which we can bring

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Speaker 1: all of these things together in order to help people

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Speaker 1: live a better life. In a world where we're seeing

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Speaker 1: the rollout of five G networks, how do you anticipate

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Speaker 1: the progression of that particular technology. Are we on the

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Speaker 1: verge of an explosive growth in ambient computing? I think so.

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Speaker 1: In ambient computing, I think what we're going to start

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Speaker 1: to see, and we're seeing it already, little bits and

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Speaker 1: pieces of it coming together, where devices have capabilities that

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Speaker 1: we can interact with through voice, through other mechanisms, and

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Speaker 1: as we move forward, I think we're going to find

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Speaker 1: that we're connected in so many ways. Our clothing is

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Speaker 1: going to be connected. The lights around us, the cameras

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Speaker 1: around us, the walls around us, are going to have

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Speaker 1: computing capabilities, and it's going to enable applications that we

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Speaker 1: can't even think of today. And I think that the future,

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Speaker 1: those people who are thinking about technology in the future

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Speaker 1: should be thinking about the use cases, the problems that

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Speaker 1: we can solve for real people around the world by

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Speaker 1: having this kind of capability and information. It's going to

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Speaker 1: be an extraordinary time. And I think ambient computing and

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Speaker 1: the pushing the ability to do computation to the edge

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Speaker 1: of the network. What I mean by that is not

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Speaker 1: just in big central machines that grind a lot of data,

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Speaker 1: but on the phone, on the sensor. Doing computation there

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Speaker 1: could help us get a better understanding of what's happening

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Speaker 1: around us. We'll return to my conversation with a show

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Speaker 1: Servastiva of into it in just a moment. You know

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Speaker 1: who you are, A boundary pusher, a big thinker in

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Speaker 1: the relentless pursuit of the next big innovation for your business.

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Speaker 1: T Mobile for Business knows that the future demands true

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Speaker 1: workforce mobility, and in the new era of five G

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Speaker 1: being able to assess the needs of your company in

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Speaker 1: real time could trend form everyday functions. The five G

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Speaker 1: revolution has begun and the future of businesses like yours

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Speaker 1: will be powered by advancements in five gene networks built

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Speaker 1: to reach more people in more places without slowing you down.

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Speaker 1: T Mobile for Business can help you realize the full

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Speaker 1: potential of your business as five G unfolds business is changing.

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Speaker 1: Learn more at T mobile for Business dot com. So

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Speaker 1: we're looking at a world where we've got the end devices,

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Speaker 1: whether it's a sensor, whether it's a full system of

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Speaker 1: sensors capable of doing at least some of the computational processing.

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Speaker 1: We've got perhaps one or more centralized systems as well

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Speaker 1: that can communicate with those edge systems. We've got the connectivity,

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Speaker 1: We've got the infrastructure that's allowing for that communication. You know,

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Speaker 1: we've seen some incredible advances and machine learning and artificial intelligence.

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Speaker 1: Now we're seeing incredible advances and broadband can activity. Where's

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Speaker 1: the next choke point that we need to be thinking

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Speaker 1: about now so that we can address it when it's

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Speaker 1: when it's coming right up on us. So with the

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Speaker 1: advent of five G, with that amazing network capability, with

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Speaker 1: the advent of new sensor technology that's again going to

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Speaker 1: be in the billions around the world. There's no doubt

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Speaker 1: that the data that's coming in is going to be

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Speaker 1: extraordinary in size. So REDDA statistic that says that we're

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Speaker 1: going to have ten times the amount of data produced

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Speaker 1: information coming in. So that's a huge driver. Now my

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Speaker 1: question is do we have the computation power, do we

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Speaker 1: have the people, do we have the know how, and

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Speaker 1: do we have the algorithms to actually analyze that data

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Speaker 1: and make sense out of it to help move society forward?

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Speaker 1: And I'd say that's actually the bottleneck that we need

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Speaker 1: to be pushing ourselves in terms of our creativity in

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Speaker 1: order to solve the world's most pressing problems help society

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Speaker 1: around us do better. Yeah, so part of this is

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Speaker 1: literally finding the right people and developing the right skills

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Speaker 1: to handle this massive tidal wave, the tsunami of data

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Speaker 1: that's coming. Why are the sort of problems that you

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Speaker 1: get excited about tackling, the sort of things that when

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Speaker 1: you see that challenge, you think this is gonna be

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Speaker 1: a good day. What excites me the most are working

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Speaker 1: on problems where I can see a direct line to

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Speaker 1: helping a person, and it doesn't matter if that person

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Speaker 1: is flying on an airplane when I was at NASA

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Speaker 1: I think about the best uses of AI, machine learning

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Speaker 1: in these other fields, it is incredibly important that we

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Speaker 1: continue to push the boundaries of our creativity and I

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Speaker 1: feel very fortunate to be in a job where I

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Speaker 1: can think about that on a daily basis. Well, how

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Speaker 1: do you anticipate the Internet of Things enhancing the financial

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Speaker 1: software products industry? I've thought about that a lot. So

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Speaker 1: imagine that you're running a small business. Let's say in Houston, Texas.

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Speaker 1: You're running a small business and you have a customer

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Speaker 1: base and they come in they visit your store. Let's

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Speaker 1: say that you're selling uh at a bakery. Sure, so

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Speaker 1: they come in, they visit your store, they buy some bread,

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Speaker 1: they leave. You want to understand what's happening in this store.

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Speaker 1: How are people actually interacting with it? Well, you might

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Speaker 1: put in a few sensors, maybe see what they're interacting

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Speaker 1: with on their on your in your store, how they

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Speaker 1: make the purchases when they come in. That kind of information.

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Speaker 1: As a single store owner and operator, you might have

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Speaker 1: that just in your mind, but when it comes into

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Speaker 1: your system and the machine can actually look at that

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Speaker 1: information and start to discover patterns and say, did you

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Speaker 1: know that certain kinds of bread, Let's say all of

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Speaker 1: bread one of my favorites. Let's say that that is

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Speaker 1: actually sold more in the afternoon. Maybe that changes the

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Speaker 1: way you actually produce the bread. Maybe that changes the

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Speaker 1: way you interact with your suppliers. All of that kind

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Speaker 1: of information could be had by a single small business owner. Now,

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Speaker 1: when you start to think about a whole bunch of

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Speaker 1: these small business owners, let's say that there are hundreds

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Speaker 1: of thousands of these small business owners around the country,

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Speaker 1: each of them running a bakery. What starts to happen

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Speaker 1: is that you can compare yourself and your performance and

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Speaker 1: how your small business is operating compared to now a

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Speaker 1: lot of companies around the country, and that gives you

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Speaker 1: insight into how to improve your efficiencies. These things are

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Speaker 1: made possible through the use of advanced software machine learning,

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Speaker 1: but also through the use of of the right sensor

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Speaker 1: technology and also the network infrastructure to transmit that information.

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Speaker 1: I love this. I love this idea of and I

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Speaker 1: love that you've taken the example of looking at a

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Speaker 1: particular instance and then extrapolating to the larger picture, because

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Speaker 1: you start to think about the potential application for these

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Speaker 1: small businesses across an entire country, and you could see

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Speaker 1: macro level effects. We're currently in an era where I

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Speaker 1: think a lot of us are interacting with technologies that

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Speaker 1: give us a lot of feedback, some of which is

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Speaker 1: actionable and some of which isn't, and so it falls

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Speaker 1: to the individual to determine which is which and then

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Speaker 1: what to do about it. Uh So, having people thinking

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Speaker 1: about that ahead of time, where you can deliver not

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Speaker 1: just data, but meaningful data, things that can actually be

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Speaker 1: acted upon in order to make a real difference. Uh That,

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Speaker 1: to me is the most powerful story, you know. I

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Speaker 1: think you're pointing to one of the key challenges in

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Speaker 1: dealing with massive amounts of data, and the fact is

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Speaker 1: that it's possible to start pulling out information that's wrong,

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Speaker 1: coming to conclusions that are actually not correct, and it's

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Speaker 1: also possible to start thinking that noise is actually signal

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Speaker 1: so we have to have that right balance of understanding

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Speaker 1: and maintaining our ability as humans to think critically about

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Speaker 1: what we're looking at. Just because a machine said so,

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Speaker 1: it doesn't make it true, and just because a human

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Speaker 1: said so, it doesn't make it true. It has to

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Speaker 1: be that we're actually thinking about what we're seeing in

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Speaker 1: rationalizing against everything that we know about the world around us.

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Speaker 1: After my conversation with a Choke, after I got back

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Speaker 1: to Atlanta, I came up with a few more questions

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Speaker 1: I really wanted to ask him, and he was kind

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Speaker 1: enough to agree to hop on the phone and give

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Speaker 1: me some answers. A show. How is into it making

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Speaker 1: use of increased connectivity to help its customers and partners today.

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Speaker 1: We are creating capabilities today that allow customers to connect

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Speaker 1: directly with experts. So imagine that you're using one of

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Speaker 1: our products like Turbo tax are like quick books, and

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Speaker 1: you have the ability to connect with a human expert,

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Speaker 1: and that the expert happens to be informed by artificial

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Speaker 1: intelligence and machine learning solutions. It only helps them give

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Speaker 1: you better answers quicker. These are some of the ways

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Speaker 1: that the connectivity and particularly high speed connectivity and five

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Speaker 1: G are revolutionary. That's exciting to me, and I really

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Speaker 1: feel that this is enabled by a couple of things.

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Speaker 1: One high speed connectivity five G is a revolutionary capability.

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Speaker 1: To artificial intelligence and machine learning. These capabilities are really

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Speaker 1: going to help that level of experience for our customers.

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Speaker 1: In this case, we're talking about a future where a

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Speaker 1: human is augmented with technology, which is one of the

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Speaker 1: things I find really exciting because there's there's a sort

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Speaker 1: of a lingering fear I think that technology stands to

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Speaker 1: replace humans, but in reality, we're really seeing systems that

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Speaker 1: are meant to take what humans do and just make

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Speaker 1: us even more effective at doing that. Do you agree

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Speaker 1: with that assessment? Oh, very much. So. I really feel

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Speaker 1: that the next phase of artificial intelligence and machine learning

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Speaker 1: is really to augment human capability and human intelligence so

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Speaker 1: that we can work better, we can work more efficiently,

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Speaker 1: and we can also then enjoy our free time more.

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Speaker 1: Artificial intelligence and machine learning is really going to help

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Speaker 1: us as humans just to do our jobs better and

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Speaker 1: live better lives. So in the future where we have

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Speaker 1: more of these advanced systems in the back end, artificial

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Speaker 1: intelligence and machine learning systems, when we have this robust

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Speaker 1: network of connectivity and with five G, making sure that

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Speaker 1: we can have that connectivity wherever, not just where cables go,

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Speaker 1: but wherever we happen to be. I think we're going

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Speaker 1: to see new markets emerge that previously we hadn't even

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Speaker 1: anticipated because the possibility wasn't there before. We want to

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Speaker 1: help our customers grow and develop and make great financial decisions,

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Speaker 1: and one of the key capabilities that they need is

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Speaker 1: the ability to connect to the internet with high speed,

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Speaker 1: with high bandwidth, and also highly reliable. And that's what's

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Speaker 1: so exciting about five G. I think it's going to

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Speaker 1: help a lot of people gain access and gain the

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Speaker 1: access that they need in order to run their businesses,

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Speaker 1: to make good financial decisions, to help their customers, and

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Speaker 1: the self employed, a group people who are working for themselves,

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Speaker 1: maybe working in the gigging eonomy, are completely enabled by connectivity,

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Speaker 1: and imagine a world in which they have high speed

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Speaker 1: connectivity through five G. Their lives can be completely transformed

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Speaker 1: because now they have the right information in order to

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Speaker 1: make whatever choices they need to. They can connect with

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Speaker 1: their customers, they can connect with their partners and suppliers

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Speaker 1: while they're on their go and that is going to

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Speaker 1: really help them move up and move into new areas

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Speaker 1: and potentially, as you said, create entire new industries. And

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Speaker 1: we're only seeing the beginning of this right now. I

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Speaker 1: think that in the next five to ten years, we're

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Speaker 1: going to see more and more people adopt this way

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Speaker 1: of working and live lives that we can only imagine

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Speaker 1: right now. After this quick break, will be back with

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Speaker 1: more of my conversation with Into It c d O

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Speaker 1: a Shoke Servastiva. The future is closer than you think,

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Speaker 1: and it all starts in the palm of your hand.

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Speaker 1: You've heard the news five G is here, but what

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Speaker 1: does that really mean? How will it impact you? In

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Speaker 1: this I Heart series This Time Tomorrow, presented by T

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Speaker 1: Mobile for Business, join hosts os Volition and Cara Price

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Speaker 1: as they walk us through a mobile revolution that will

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Speaker 1: start to change the future of business and the way

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Speaker 1: we interact with the world around us. From environmental science

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Speaker 1: to law enforcement, entertainment, healthcare, and travel, innovation is coming.

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Speaker 1: Join them as they explore how this revolution could impact

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Speaker 1: your life and give you new ways to connect and engage.

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Speaker 1: This Time Tomorrow is now available on the I Heart

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Speaker 1: Radio app or wherever you listen to podcasts. Now we're

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Speaker 1: going to my favorite segment where I ask you five

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Speaker 1: quick fire questions. There's not really any thinking involved in this,

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Speaker 1: it's just from the gut. So question number one, what

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Speaker 1: one piece of technology could you personally never give up

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Speaker 1: my iPhone? No, boy, that's a that's a really common

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Speaker 1: answer and one that I can completely identify with. All Right,

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Speaker 1: autonomous car or robotic assistant with advanced AI. Robotic assistant

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Speaker 1: with advanced AI. Wow, you're the first person to answer that.

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Speaker 1: All right, So virtual reality or augmented reality? Augmented reality?

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Speaker 1: Not even a pause, they're all right. What example of

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Speaker 1: science fiction technology would you most want to see come true?

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Speaker 1: That teleporter on Star Trek, Yes, fantastic. I fly around

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Speaker 1: too much and I just love to push a button

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Speaker 1: and to be in another part of the world. Now,

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Speaker 1: we we'd have to get into a full discussion about

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Speaker 1: whether or not it would actually be you that came

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Speaker 1: out the other end of the teleporter, or rather just

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Speaker 1: a recreation of you. But that's for another podcasting. Yeah,

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Speaker 1: if it's not to change my opinion, that's fair. That's fair.

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Speaker 1: We'll put a we'll put it through multiple tests before

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Speaker 1: we put any humans in there. Okay, final question. You

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00:27:03,640 --> 00:27:10,080
Speaker 1: get a quantum computer with one fifty cubits, that's pretty

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00:27:10,119 --> 00:27:15,440
Speaker 1: phenomenal tomorrow, what do you do with it? I would

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Speaker 1: use it to explore the large scale structure of the universe.

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Speaker 1: How did the universe form and whether it formed in

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Speaker 1: the way we think. That's a great answer, A Shoke,

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Speaker 1: thank you so much for your time. This has been

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Speaker 1: a genuine pleasure and I greatly appreciate it. Jonathan, this

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Speaker 1: has been a fabulous event. Thank you so much for

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Speaker 1: having me. A Shoke's view of the near future is

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00:27:43,119 --> 00:27:47,760
Speaker 1: really exciting. Technologies like artificial intelligence and machine learning are

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00:27:47,840 --> 00:27:52,720
Speaker 1: already transforming many industries. We're going to see those transformations

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00:27:52,760 --> 00:27:56,679
Speaker 1: happen faster and with more far reaching effects. As we

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00:27:56,760 --> 00:27:59,359
Speaker 1: learn more from big data, we'll put that learning to

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Speaker 1: practical use. Companies will cut operational costs as they become

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Speaker 1: more efficient and develop new ways to meet and exceed

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Speaker 1: the expectations of customers, clients, and partners. And with the

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Speaker 1: promise of future five G connectivity, there's untold possibilities for

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00:28:16,720 --> 00:28:21,320
Speaker 1: how we can leverage that sort of capability. Systems, sensors,

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00:28:21,320 --> 00:28:25,479
Speaker 1: and devices will communicate in real time sharing information and

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00:28:25,560 --> 00:28:30,320
Speaker 1: findings at speeds that are difficult to imagine. Information gathering

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00:28:30,359 --> 00:28:33,840
Speaker 1: won't be a bottleneck in that future, giving decision makers

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Speaker 1: the time they need to make the best choices for

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Speaker 1: their stakeholders, and at the same time, visionaries will make

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Speaker 1: use of those capabilities to bring incredible positive change to

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Speaker 1: people who are in need of it most. In our

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Speaker 1: next episode, we'll talk with Dan Morales, the chief information

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00:28:52,200 --> 00:28:55,200
Speaker 1: officer for Universal Music Group, to find out how the

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Speaker 1: five G rollout will impact the entertainment industry. See you then.

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Speaker 1: This has been The Restless Ones, a production of T

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Speaker 1: Mobile for Business and I Heart Radio. No matter what

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Speaker 1: you're after, T Mobile for Business is here with a

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00:29:17,880 --> 00:29:21,560
Speaker 1: network born mobile and built from the ground up for

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00:29:21,600 --> 00:29:25,480
Speaker 1: the next wave of innovation, from mobile broadband to IoT

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00:29:25,720 --> 00:29:29,600
Speaker 1: to workforce mobility and everything in between. T Mobile for

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Speaker 1: Business is committed to helping innovative decision makers like you

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00:29:33,640 --> 00:29:36,800
Speaker 1: move your business forward with the products and services you need,

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00:29:37,200 --> 00:29:40,280
Speaker 1: as well as the dedicated, award winning service your business

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00:29:40,280 --> 00:29:44,600
Speaker 1: expects from America's most loved wireless company. Business is changing.

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Speaker 1: Learn more at T Mobile for Business dot com.