WEBVTT

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Welcome to the Live with Sondra podcast where

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we dive deep into business, tech, and entrepreneurship.

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Hosted by me, Sondra Shannon, CEO of GateMaster

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Technology. Each show, we explore the latest

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trends in ticketing attractions and guest experience,

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helping you stay ahead of the curve in this ever

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-evolving world of attractions and events. Whether

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you're an industry expert or just getting started,

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this show has insights to inspire and empower

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you. Today's episode is sponsored by GateMaster

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Technology, your trusted partner for ticketing

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and attraction management solutions. Let's get

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started with the show. Here we go. We are live.

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Hey everybody, this is the Live with Sondra show

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and I want to welcome you today. We are exploring

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something that's changing the entire landscape

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of guest experiences from ticketing. to immersive

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storytelling. Today we're talking AI, VR, and

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the rise of spatial computing. If you've ever

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wondered what the future of attractions looks

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like and how to use these tools to stay ahead,

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this episode will blow your mind. We've got one

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of the industry's top digital transformation

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leaders joining us to share what's next. So stick

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around and I'll see you after the intro. Thank

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you. welcome back to the live with sandra show

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i'm your host sandra shannon and today we're

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deep diving into the future of attractions spatial

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computing artificial intelligence and how immersive

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technologies transform the guest experience but

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first a huge thank you to our sponsor gate master

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technology for over 30 years gate master has

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been the trusted point of sale and ticketing

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platform for attractions around the world from

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mobile ordering to online sales and real -time

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data and integrated marketing tools gate master

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helps operators simplify their operations and

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stay ahead of the rapidly changing tech landscape

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thank you gate master technology for supporting

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today's conversation about innovation and the

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future of guest engagement so without further

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ado ado i would like to introduce you to our

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guest today now i could Not think of a better

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guest to have this discussion with us than Steve

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Smith, who is the CEO and president of Talana

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Solutions, Inc., where he helps organizations

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achieve digital transformation at a C -level.

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Before that, Steve started as a CIO for major

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brands like Orbitz and Autotrader, leading technology

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initiatives that shaped how millions of people

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traveled and shopped online. including for iconic

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brands like aa .com having lived in six countries

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and traveled to more than 60 countries goals

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that's my goals too steve brings a truly global

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perspective on how technology scales and how

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it can make or break the guest experience and

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one thing steve can't live without his journal

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and his music which i think is the perfect blend

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of reflection and rhythm that fuels both creativity,

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and clarity, please help me welcome Steve to

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the Live with Sondra show. Steve, I am so excited

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to have you here today. Thank you so much. Really

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excited to be here. Thank you for being here.

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So did I get the bio okay? It's good. I've lived

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about four lifetimes in my 60 years on the planet,

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so it's good. It's perfect. Well, I have to ask,

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because you mentioned music, and I'm a big music

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fan. What kind of music do you like? you know

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as a kid i was all pop rock so think you know

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80s hair bands uh you know journey and motley

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crew and death leopard um but you know my my

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best friend and my music collaborator we did

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a lot of beach boys elton john and then as the

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years moved on i actually tried to embrace country

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it was tough um but i was raised on country my

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mom was actually a classically trained uh sopranist

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and pianist Sang at Carnegie Hall. So I had dreams

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of a kid of being a rock musician. And my buddy

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ended up heading off to California. He showed

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up at my house one night and he said, I'm moving

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to California. I'm going to be a rock star. Get

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in the car and let's go. And I was like, yeah,

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I can't. And so he went off to California, became

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a Sessions musician, worked with all kinds of

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amazing bands. And I went off and I joined the

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army. Wow. What do you think about Yacht Rock?

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Love, yeah, one of my favorite eras. Love the

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music, love yacht rock. And so it's my go -to

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comfort zone for music. Yes, that's my husband

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and I too. Like we are really enjoying yacht

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rock on satellite. Do you have Sirius? We do.

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We've got XM in both of our vehicles. And so

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my wife is a pop girl. So she loves everything

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that's modern and new and she doesn't like old,

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but she's... She knows all the old songs. So

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when we put them on, she sings along with me.

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Hey, my kids sing along. I'm surprised. Like,

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actually, they got hooked on Yacht Rock before

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I did. My husband started playing it. And I'm

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like, I remember these songs. You know, I think

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it's funny. Some of these hair bands actually

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are kind of getting lumped into some of the Yacht

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Rock genre, especially when it's like the softer,

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you know, more songs. So it's kind of cool. Yeah.

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Well, well, I. I'm really curious because you

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also mentioned that you have your journal and

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your music and you're balancing this structure

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and creativity. And I'm curious how those things,

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because you're a business owner, show up when

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it comes to your leadership and innovation. So,

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you know, it's a paradox because typically you

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think of business people and especially technology

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people being very black and white, one and zero,

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very, you know, business and data. driven um

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and you know when i started my business um i

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started the company in 2009 and it was one of

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the things that that i learned over the years

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as a technology executive everything comes back

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to the human everything comes back to the human

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and i've had the opportunity to work on projects

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where i spend hundreds of millions of dollars

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for the corporations i was working for And for

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a long time, 60 % of IT projects failed out there,

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60%. And the reason they fail is because user

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adoption, it's not the technology. It's because

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people didn't do the legwork and the homework

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to make sure that the application or the tool

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set or whatever it was is going to work with

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the consumer, with the end user, with the guest.

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And so I think it's... a very appropriate kind

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of conversation with attractions and events and

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entertainment because everything has to circle

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around the guest. And even if you look at guys

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like Jeff Bezos, they have their virtuous circle

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at Amazon. Everything starts with the customer

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and then works back from there. So technology

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by itself is spectacular, but it's worthless

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unless it actually delivers something tangible.

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for the human. And the same goes for AI and spatial

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computing and everything else we're going to

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talk about. Well, cool, because you actually

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brought up spatial computing. And I know today's

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topic is spatial computing, AI, VR, the future

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of attractions. And this is a massive topic,

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like a massive topic. I don't know that we can

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cover it all in the short time that we have together.

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We're not going to get through all of it. But

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what I was really hoping for is that you would

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tell the audience and me, you know, Bring us

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up to speed. What is spatial computing for those

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of us that maybe never heard that term? So, you

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know, I think it is the most exciting. AI is

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a component of that, believe it or not. But I

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think it is the most exciting space in technology

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today. So let me give you a quick scenario. So

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you're in your brand new Tesla that you just

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bought. You told Gronk to take you home. It's

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doing most of the driving. While that car is

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navigating, it's using spatial computing. It's

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shooting out LIDAR, radar. It's collecting digital

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imagery of the landscape. It's understanding

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the cars around it. It's understanding the buildings.

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It's reading signs. It's reading. All of that

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is spatial computing. It's one aspect of it.

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The other part of it is virtual reality, augmented

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reality, mixed reality. That's all spatial computing.

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You're interacting. um and i love this new world

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other this new word that they use out there um

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it's it's a combination of the physical and the

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digital and now you've got the the digital uh

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so you've got oh you've got this blending of

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the two together now the other part of spatial

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computing which hasn't hit yet but you know think

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of tony stark in the avengers movie where he's

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talking to jarvis and he's manipulating you know

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holographic images and touching them and moving

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them. We're not that far away from that. So our

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interaction with the technology is going to become

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very, very physical. And if you look at big companies

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like Universal and Disney who are spending the

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most money in this space, they're already pushing

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a lot of this technology into their attractions.

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It's the reason their attractions, now their

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big ones, cost half a billion dollars to build

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or more because they're putting... so much tech

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in there so when you look at this digital environment

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between physical and digital that's all the spatial

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computing it's all of those components that bring

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all of this together and allow the human being

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to interact with that in a very um you know realistic

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way um that really blends virtual reality and

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augmented reality together in this mixed augmentation

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in this spatial computing environment so yeah

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it's fascinating you know i um I'm a big fan

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of the meta glasses. Have you ever tried those?

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Spatial computing. I have. I love them. Yeah,

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I love my meta glasses. I don't travel without

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them. I have them next to my bed. You know, they're

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always around. My son was just telling me yesterday,

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I haven't had a chance to look into it, but I

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think they're leaving Ray -Ban. And because they're

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going for what you're saying, where you can control

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what's on the screen. And that's going to be

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really, really interesting. Although I might

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get myself another pair of Ray -Bans because

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I saw these new white ones they have. They're

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really cool. But, you know, it is fascinating

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to me how much we are interacting with this technology

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all the time and we don't even really realize

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it. And so thank you for explaining that. And

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we mentioned in your bio that you have been to

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over 60 countries, which, by the way, is like

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my goal. To go to 60 countries. I love travel.

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I love cultures. You know, I've had the opportunity

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to live in the UK, Germany, Switzerland, India,

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China, and Korea. All those places. Germany,

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I was the longest. I was three years in Germany.

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All the others, about a year and a half. The

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one that I lived in the shortest amount of time

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was Korea. But I've spent multiple trips going

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to Korea. First, when I was in the US Army. And

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then, you know, back when I was a civilian. But

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a lot of the countries I've been to have either

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been through work or through the military. And

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as I like to say, conference rooms and hotel

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rooms look the same everywhere in the world.

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And so now I'm trying to get to the places that

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I went for work on a pleasure basis to really

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dig into the culture, the people, the localities.

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I'll take a quick example, Germany. I lived in

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Germany for three years, went to Cologne, the

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city of Cologne, probably 100 times. Never went

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to the cathedral in downtown Cologne, in the

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center city. Fantastic story. The church, the

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cathedral took 350 years to build. And they were

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like less than half done. And then the Prussians

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came in and occupied. And because the Prussians

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are very structured and organized, they completed

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the other 50 % in 50 years, where it took the

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folks up there in Cologne 300 years to get half

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of it done. It's just little things like that

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that you just don't learn about if you just go

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for business and you're in a conference room

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or you're in a workplace or hotel. Yeah, I don't

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know if you know this about me. In my early days

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here at GateMaster, before we had the technology

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of Zoom and all the things that we could do remote

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with computers. In the early 2000s, I was still

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traveling to all of the attractions to put the

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floppy disk in or the chip and load the program

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and get them all set up. And I'd oftentimes spend

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several weeks, if not months, with their teams,

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helping them get set up. And it was my job. We

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don't even do that anymore because of the way

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that computing has changed. The way that we're

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interacting with even the parks that we partner

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with. But, you know, I got really lucky because

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I did get to stay with them for those weeks at

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a time. And I I was lucky enough that they they

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would always allow me to be a part of their culture.

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Yeah. You know, my my my sister, Tiffany, who

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works with me, she went to I can't remember.

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I think she might have been in Jamaica doing

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the work, that same work. She's been with the

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company 18 years. And she says she'll never forget

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when they just brought her a whole. fish head

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for dinner you know because that's what they

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ate right like maybe then maybe they were joking

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with her i don't know but she loved it you know

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because my dad's a butcher we ate everything

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yeah i'm just saying it was on the table you

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had to eat it because dad caught it you know

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what i mean so That was, but that was really

00:14:55.440 --> 00:14:58.220
cool. And I'm glad that you recognize that, like,

00:14:58.220 --> 00:15:01.259
you want to go back and experience these countries.

00:15:01.620 --> 00:15:04.259
Dive in deeper, you know, and again, you know,

00:15:04.259 --> 00:15:07.399
when I lived in China, you know, the diet is

00:15:07.399 --> 00:15:10.919
very different. It's very different. And, you

00:15:10.919 --> 00:15:13.039
know, I mean, one of my favorite stories is,

00:15:13.080 --> 00:15:15.080
you know, because I was always the senior executive,

00:15:15.179 --> 00:15:17.659
I was the bigwig, you know, so I always got at

00:15:17.659 --> 00:15:19.419
the center of the table and they always brought

00:15:19.419 --> 00:15:22.509
me this soup. And I'm eating the soup every time

00:15:22.509 --> 00:15:24.690
it's the same. I mean, it's very tasty. But the

00:15:24.690 --> 00:15:27.210
noodles, the noodles were so hard and chewy.

00:15:27.750 --> 00:15:30.070
And my Chinese, my Mandarin is not good. I do

00:15:30.070 --> 00:15:31.669
speak a couple of languages, but Mandarin, I

00:15:31.669 --> 00:15:33.330
know enough to be polite. Say hello. Goodbye.

00:15:34.289 --> 00:15:36.889
Anyway, so I'm eating the soup and I turn to

00:15:36.889 --> 00:15:39.529
my translator. I'm like, I'm like, his name is

00:15:39.529 --> 00:15:41.690
Hang Fook Sang. I go, Fook, you know, I've been

00:15:41.690 --> 00:15:43.730
eating this Chinese, this soup every time. I

00:15:43.730 --> 00:15:45.710
said, it's not good chicken soup. The noodles

00:15:45.710 --> 00:15:49.590
are so tough. He goes, no, not noodle. He goes,

00:15:49.669 --> 00:15:52.289
fish lip, that fish lip soup, very expensive.

00:15:53.710 --> 00:15:56.110
And I looked at it, and it is, it was little,

00:15:56.190 --> 00:15:58.769
tiny, I thought it was white noodles, but it

00:15:58.769 --> 00:16:02.029
was the fish lips. And I was like, I've been

00:16:02.029 --> 00:16:04.750
eating the fish lip soup now for the past year.

00:16:05.409 --> 00:16:08.769
That's an awesome story. I mean, funny. Well,

00:16:08.889 --> 00:16:11.669
you know, speaking of your travel and all that

00:16:11.669 --> 00:16:14.929
you've done, I'm curious. You know what you think

00:16:14.929 --> 00:16:16.929
about, you know, with these global trends that

00:16:16.929 --> 00:16:19.330
I'm sure you've seen in your traveling. You know,

00:16:19.330 --> 00:16:24.769
what do you think North America attractions are

00:16:24.769 --> 00:16:28.710
underestimating when it comes to maybe the technology

00:16:28.710 --> 00:16:31.090
that's global? Because, you know, I'll tell you,

00:16:31.090 --> 00:16:35.049
I was just in same thing. I was in London. I've

00:16:35.049 --> 00:16:37.590
been in London twice this year for several times

00:16:37.590 --> 00:16:40.289
for work. And I did get to go to Greece. I have

00:16:40.289 --> 00:16:42.450
to mention I did go to Greece for fun this year.

00:16:43.769 --> 00:16:46.549
probably the first trip i've really ever taken

00:16:46.549 --> 00:16:50.769
for fun because you know you're a business owner

00:16:50.769 --> 00:16:53.629
and and there's a lot of times like if i don't

00:16:53.629 --> 00:16:55.970
go anywhere unless it's for work but in this

00:16:55.970 --> 00:16:59.870
case i uh i took a trip you know wait until i

00:16:59.870 --> 00:17:04.390
was 46 to take a trip to to that but i do notice

00:17:04.970 --> 00:17:06.950
when i'm in these other countries that there

00:17:06.950 --> 00:17:09.789
is a difference in the technology and it's got

00:17:09.789 --> 00:17:13.210
me thinking about maybe what your thoughts are

00:17:13.210 --> 00:17:16.490
on are we underestimating the technology here

00:17:16.490 --> 00:17:19.069
in our attractions in north america or do you

00:17:19.069 --> 00:17:21.150
think we're leading you know what do you think

00:17:21.150 --> 00:17:24.809
about all that so it's a great question and and

00:17:24.809 --> 00:17:26.789
i think you know as i kind of think about the

00:17:26.789 --> 00:17:29.670
technology landscape that's out there today we

00:17:29.670 --> 00:17:33.910
we really are at an inflection point We are,

00:17:34.089 --> 00:17:37.609
I think, at the precipice, at the beginning of

00:17:37.609 --> 00:17:40.710
a complete and total transformation of not only

00:17:40.710 --> 00:17:44.009
technology, but of society. So if I'll start

00:17:44.009 --> 00:17:45.329
with, you know, we started the conversation with

00:17:45.329 --> 00:17:48.289
spatial computing. Yeah. I'll add to that artificial

00:17:48.289 --> 00:17:51.430
intelligence. And then kind of the coup de grace

00:17:51.430 --> 00:17:54.470
on the back end is quantum computing. If you

00:17:54.470 --> 00:17:57.650
lace those three things together, we're talking

00:17:57.650 --> 00:18:00.650
about Star Wars, Star Trek, pick your favorite

00:18:00.650 --> 00:18:04.309
sci -fi genre. That's the world that we're right

00:18:04.309 --> 00:18:08.230
on the edge of embracing. And so, you know, when

00:18:08.230 --> 00:18:11.349
you look at what the possibility of what if is,

00:18:11.589 --> 00:18:14.450
it's absolutely incredible. And we're going to

00:18:14.450 --> 00:18:15.930
see it in our lifetime. You know, I'm an old

00:18:15.930 --> 00:18:18.009
guy. I've been around a long time. You know,

00:18:18.029 --> 00:18:20.829
I'm pretty digital. And, you know, we had a party

00:18:20.829 --> 00:18:22.549
line at my house when I grew up and we had to

00:18:22.549 --> 00:18:23.890
share with three other people down the street.

00:18:24.250 --> 00:18:26.730
So, you know, where we were and where we are

00:18:26.730 --> 00:18:29.950
today and what's getting ready to hit Gen Z and

00:18:29.950 --> 00:18:33.859
Gen Alpha. you know we could see faster than

00:18:33.859 --> 00:18:37.259
light travel we could see the elimination of

00:18:37.259 --> 00:18:40.259
cancer we could see the elimination of alzheimer's

00:18:40.259 --> 00:18:42.339
and polio and good on the list of disease and

00:18:42.339 --> 00:18:44.380
maladies that have afflicted human beings for

00:18:44.380 --> 00:18:47.619
the past 350 000 years we could be at the precipice

00:18:47.619 --> 00:18:50.180
of all that going away yeah but but reeling it

00:18:50.180 --> 00:18:53.079
back into kind of the tactical around the entertainment

00:18:53.079 --> 00:18:55.380
industry in north america i think there's a couple

00:18:55.380 --> 00:18:57.799
i'm gonna put four things on the on the bullet

00:18:57.799 --> 00:19:01.180
list the first is I think that the blurring between

00:19:01.180 --> 00:19:05.180
the physical and the digital is only going to

00:19:05.180 --> 00:19:08.500
accelerate. And I saw a recent study, very interesting,

00:19:08.579 --> 00:19:14.099
that 68 percent of Gen Z prefer a virtual experience

00:19:14.099 --> 00:19:18.200
than a physical one. So I think that I think

00:19:18.200 --> 00:19:20.799
that that blurring of those technologies is going

00:19:20.799 --> 00:19:23.819
to be like the next wave. And I think, you know,

00:19:23.839 --> 00:19:25.720
the big players who have big bucks to invest

00:19:25.720 --> 00:19:27.140
right now because this stuff isn't cheap right

00:19:27.140 --> 00:19:28.900
now, it's tough. If you're a small attraction,

00:19:29.359 --> 00:19:33.400
how do I compete with Guardians of the Galaxy

00:19:33.400 --> 00:19:38.880
and Rise of the Empire? It's just crazy stuff.

00:19:39.180 --> 00:19:40.960
So that's one. I think the other part, which

00:19:40.960 --> 00:19:43.220
I think small attractions can get into, and I

00:19:43.220 --> 00:19:45.900
think we're underestimating and we're just starting

00:19:45.900 --> 00:19:48.319
to scratch at it, is hyper -personalization.

00:19:48.839 --> 00:19:52.700
Creating experiences for our guests where they

00:19:52.700 --> 00:19:56.279
are the center of the universe. And by hyper

00:19:56.279 --> 00:19:59.230
-personalization, not only... tailoring the entertainment

00:19:59.230 --> 00:20:02.710
experience and the stay at the hotel and the

00:20:02.710 --> 00:20:04.349
dining experience, but putting all that stuff

00:20:04.349 --> 00:20:06.730
together so it's hyper -personalized, but also

00:20:06.730 --> 00:20:10.210
a digital presence whereby I know all the places

00:20:10.210 --> 00:20:12.170
that you went, that you ate. I know that you

00:20:12.170 --> 00:20:15.650
searched 25 times online for packing lists to

00:20:15.650 --> 00:20:19.170
go to Disney. How do I use AI and the technology

00:20:19.170 --> 00:20:22.789
to completely enhance that experience? So I put

00:20:22.789 --> 00:20:24.950
digital presence and hyper -personalizations

00:20:24.950 --> 00:20:28.059
in there. And then the other part is just the

00:20:28.059 --> 00:20:30.660
creative piece. And we talked about music earlier

00:20:30.660 --> 00:20:33.460
and my passion for music. So, you know, I'm running

00:20:33.460 --> 00:20:35.259
a company. We've got hundreds and hundreds of

00:20:35.259 --> 00:20:37.759
employees all over the world. I don't have a

00:20:37.759 --> 00:20:40.140
lot of time to do the things that I love. I love

00:20:40.140 --> 00:20:43.460
writing and I love poetry and I love music. Well,

00:20:43.599 --> 00:20:47.799
I now can go and I can use AI tools. And we were

00:20:47.799 --> 00:20:49.599
just on a cruise. My wife and I were just up

00:20:49.599 --> 00:20:51.839
and it was my birthday and we were in Canada

00:20:51.839 --> 00:20:54.119
and we were cruising down to St. Lawrence that

00:20:54.119 --> 00:20:56.210
I'd never been. down the st lawrence been to

00:20:56.210 --> 00:20:59.450
canada 100 times been to the the maritimes but

00:20:59.450 --> 00:21:01.690
i've never been there as a tourist and so we're

00:21:01.690 --> 00:21:04.670
traveling down the the st lawrence and i'm seeing

00:21:04.670 --> 00:21:07.170
the stars and the moonlight and i start writing

00:21:07.170 --> 00:21:10.329
music and i wrote a whole album i wrote 12 songs

00:21:10.329 --> 00:21:14.630
i used ai to help me write the songs i used google

00:21:14.630 --> 00:21:17.349
image generator to generate the cover of the

00:21:17.349 --> 00:21:20.890
album i used ai to help me clean up my lyrics

00:21:20.890 --> 00:21:23.930
and then i craft all these songs and so i wrote

00:21:23.930 --> 00:21:26.450
a song about halifax and about nova scotia i

00:21:26.450 --> 00:21:28.750
wrote a song about montreal i wrote a song about

00:21:28.750 --> 00:21:31.690
quebec i wrote an entire album over the course

00:21:31.690 --> 00:21:34.809
of that 10 days that we were on that ship and

00:21:34.809 --> 00:21:37.170
it's beautiful it reflects my soul and my personality

00:21:37.170 --> 00:21:40.730
the music's amazing so this technology is going

00:21:40.730 --> 00:21:43.809
to allow us to put the human at the center and

00:21:43.809 --> 00:21:46.109
i think that's the other part about that i think

00:21:46.109 --> 00:21:49.410
we're missing is that the human in this is going

00:21:49.410 --> 00:21:53.279
to become the most valuable aspect The AI stuff

00:21:53.279 --> 00:21:55.400
is going to drive the economies of scale and

00:21:55.400 --> 00:21:57.380
it's going to drive the cost incredibly down.

00:21:57.660 --> 00:22:01.059
And so the cost of premium experience is going

00:22:01.059 --> 00:22:04.599
to be us being able to go see a human play Frankenstein

00:22:04.599 --> 00:22:08.259
versus a digital version of Frankenstein. And

00:22:08.259 --> 00:22:11.740
so I think there's those big things around creativity,

00:22:12.079 --> 00:22:15.960
around prototyping and evolving, and then letting

00:22:15.960 --> 00:22:19.700
the human bring in the ideation. great example

00:22:19.700 --> 00:22:21.960
would be kind of our relationship in the united

00:22:21.960 --> 00:22:24.279
states with most of the world we are the financial

00:22:24.279 --> 00:22:27.559
hub and we are the idea hub you know look at

00:22:27.559 --> 00:22:29.880
the back of your apple device you know it you

00:22:29.880 --> 00:22:32.259
know created and designed in california built

00:22:32.259 --> 00:22:35.160
in china um that's going to be all of our ideas

00:22:35.160 --> 00:22:38.059
all of the cool ideas and now ai is going to

00:22:38.059 --> 00:22:41.200
help us expand them in ways that we never even

00:22:41.200 --> 00:22:43.759
thought about Well, I love that you said that

00:22:43.759 --> 00:22:45.980
because I was actually on a podcast last week

00:22:45.980 --> 00:22:52.160
with somebody who is big in the index, which

00:22:52.160 --> 00:22:55.700
is the International Ticketing Association. So

00:22:55.700 --> 00:22:58.339
naturally, GateMaster, we belong to that. We

00:22:58.339 --> 00:23:02.480
go and, you know. The conversation around AI

00:23:02.480 --> 00:23:05.400
came up because, you know, there is a lot of

00:23:05.400 --> 00:23:07.960
controversy around whether or not AI is going

00:23:07.960 --> 00:23:11.339
to be taking jobs and what that looks like. And

00:23:11.339 --> 00:23:14.700
I don't think he liked it when I said, hey, candle

00:23:14.700 --> 00:23:17.220
makers had to figure something else out when

00:23:17.220 --> 00:23:19.720
electricity became a thing. Right. Like this

00:23:19.720 --> 00:23:22.680
is how innovation happens. This is something

00:23:22.680 --> 00:23:25.440
that, like you said, is happening in our lifetime

00:23:25.440 --> 00:23:29.420
and it's happening quickly. If you get in front

00:23:29.420 --> 00:23:30.980
of this, you're going to get hit by a Mack truck.

00:23:31.140 --> 00:23:33.019
It's not you're not going to stop this. You're

00:23:33.019 --> 00:23:35.019
not going to stop this. And, you know, and I

00:23:35.019 --> 00:23:36.359
and I agree with you, like you mentioned with

00:23:36.359 --> 00:23:40.779
the music. I mean, I find that what used to take

00:23:40.779 --> 00:23:45.440
me hours at work, just some tasks that I do now

00:23:45.440 --> 00:23:48.920
can be done in minutes. And and you know what?

00:23:48.960 --> 00:23:50.599
And I think that's where the creativity piece

00:23:50.599 --> 00:23:52.619
comes in, too. Right. It allows me to be so much

00:23:52.619 --> 00:23:54.240
more creative because I'm not trying to figure

00:23:54.240 --> 00:23:57.460
this one thing out. Right. Or I'm not having

00:23:57.460 --> 00:23:59.180
a reason. I'm not having a, you know, it's a

00:23:59.180 --> 00:24:02.059
lot more difficult for me to research data than

00:24:02.059 --> 00:24:04.220
it is to just ask it to get me the data that

00:24:04.220 --> 00:24:06.980
I want. Right. Right. Because everything is so

00:24:06.980 --> 00:24:09.359
data driven. But or even like I just got back

00:24:09.359 --> 00:24:12.359
from my annual physical. The doctor asked me

00:24:12.359 --> 00:24:15.339
and she had to record me. She said, are you OK

00:24:15.339 --> 00:24:20.140
with me using AI as part of our session? And

00:24:20.140 --> 00:24:23.240
and I'm like, you know, I didn't know I was expecting

00:24:23.240 --> 00:24:25.569
that. And she goes. listen it's faster than i

00:24:25.569 --> 00:24:29.950
am that writing result and i was like okay like

00:24:29.950 --> 00:24:33.730
sure i mean i trust it every study that comes

00:24:33.730 --> 00:24:38.609
back has shown that digital ai doctors are faster

00:24:38.609 --> 00:24:41.109
and more accurate than human doctors that's fascinating

00:24:41.109 --> 00:24:43.069
and it's not it's not a slight against someone

00:24:43.069 --> 00:24:44.890
that spent 12 years of their career going to

00:24:44.890 --> 00:24:46.430
school and trying to learn that stuff it's just

00:24:46.430 --> 00:24:51.910
that the human mind wasn't evolved to retain

00:24:51.910 --> 00:24:56.109
information on the scale that a modern society

00:24:56.109 --> 00:24:59.930
has today. Your brain can't, it's there, but

00:24:59.930 --> 00:25:04.190
unlocking it isn't as easy as a digital AI can

00:25:04.190 --> 00:25:08.809
do and unlock that with 100 % clarity and 100

00:25:08.809 --> 00:25:12.569
% accuracy and can compare thousands of test

00:25:12.569 --> 00:25:16.009
samples simultaneously and give you, oh, here's

00:25:16.009 --> 00:25:19.390
the result that you want. Yeah, it's fascinating

00:25:19.390 --> 00:25:24.180
stuff. Sandra, it's scary for so many people.

00:25:24.259 --> 00:25:27.339
It is frightening. It is frightening. And I think

00:25:27.339 --> 00:25:29.240
a lot of it is just the unknown, which is why

00:25:29.240 --> 00:25:30.839
I'm grateful for somebody like you coming on

00:25:30.839 --> 00:25:33.700
the show and teaching our audience about this.

00:25:33.799 --> 00:25:37.500
Because I do agree that we see these big brands

00:25:37.500 --> 00:25:40.500
like Disney, Universal, implementing this kind

00:25:40.500 --> 00:25:43.640
of technology. I mean, even before Epic was open,

00:25:43.779 --> 00:25:46.299
you could go and see that augmented reality.

00:25:46.559 --> 00:25:49.319
You know, they had the map and... and and they

00:25:49.319 --> 00:25:51.180
were already implementing all of this type of

00:25:51.180 --> 00:25:54.480
technology but when we look at the smaller family

00:25:54.480 --> 00:25:57.700
-owned operated parks who like you said don't

00:25:57.700 --> 00:25:59.960
have those kind of budgets you know i appreciate

00:25:59.960 --> 00:26:02.059
you giving us some foundations for what they

00:26:02.059 --> 00:26:05.099
can do because i agree personalized experiences

00:26:05.099 --> 00:26:08.599
are where it is going to be at for attractions

00:26:08.599 --> 00:26:12.859
like this and And what I'm also excited about

00:26:12.859 --> 00:26:15.319
from all the things that you're saying, as somebody

00:26:15.319 --> 00:26:19.839
who is an advocate for accessibility, I think

00:26:19.839 --> 00:26:22.319
this is only going to make things even more accessible

00:26:22.319 --> 00:26:25.480
than what we've ever thought imaginable. Absolutely.

00:26:25.839 --> 00:26:29.640
Yeah, the democratization of the guest experience

00:26:29.640 --> 00:26:32.259
is happening before our eyes. And, you know,

00:26:32.279 --> 00:26:34.500
it's interesting. I'll draw this analogy from

00:26:34.500 --> 00:26:36.980
my days when I worked at Orbitz and Autotrader.

00:26:37.690 --> 00:26:39.849
I was in the travel industry for years, you know,

00:26:39.849 --> 00:26:41.910
so I worked for American Airlines and they had

00:26:41.910 --> 00:26:44.490
a tech company called Sabre Systems. And, you

00:26:44.490 --> 00:26:47.670
know, I think the interesting part that the travel

00:26:47.670 --> 00:26:50.470
and entertainment industry can learn are the

00:26:50.470 --> 00:26:52.869
entertainment and attractions industry can learn

00:26:52.869 --> 00:26:56.890
from the travel industry is the power of infrastructure.

00:26:57.670 --> 00:27:00.769
You know, being able to take your technology

00:27:00.769 --> 00:27:04.500
and connect it to multiple places. and allow

00:27:04.500 --> 00:27:06.059
for self -service and i think it's one of the

00:27:06.059 --> 00:27:08.200
things that gate master does great with their

00:27:08.200 --> 00:27:12.400
platform is the ability for the the end user

00:27:12.400 --> 00:27:15.480
to you know self -serve what they need to get

00:27:15.480 --> 00:27:18.299
done and and i think that is so important you

00:27:18.299 --> 00:27:20.460
look today for most of us who are booking just

00:27:20.460 --> 00:27:22.680
a regular kind of i got to go on a trip i got

00:27:22.680 --> 00:27:25.200
to get a hotel i got to get a car you take care

00:27:25.200 --> 00:27:28.759
of all that yourself online yes and and so what

00:27:28.759 --> 00:27:31.220
enabled that was all the plumbing in the background

00:27:31.220 --> 00:27:34.369
that allowed the the you know the rental car

00:27:34.369 --> 00:27:37.369
company and the airline and the hotel to put

00:27:37.369 --> 00:27:40.309
all their stuff into a single location have open

00:27:40.309 --> 00:27:42.849
ais and allow apis and allow that information

00:27:42.849 --> 00:27:45.950
to come back and forth allow real -time access

00:27:45.950 --> 00:27:50.410
to inventory and data create personalized travel

00:27:50.410 --> 00:27:52.230
experiences for you by allowing you to collect

00:27:52.230 --> 00:27:54.710
all that information being on hand i mean 20

00:27:54.710 --> 00:27:56.450
years ago you went to liberty travel you went

00:27:56.450 --> 00:27:59.549
to a travel agency right they helped you with

00:27:59.549 --> 00:28:02.319
that stuff You know, and today what's happening,

00:28:02.420 --> 00:28:04.720
and I'll give a great example because we travel

00:28:04.720 --> 00:28:07.500
a lot, my wife and I, if we want a highly personalized

00:28:07.500 --> 00:28:11.000
experience, we go to a travel agent or someone

00:28:11.000 --> 00:28:13.740
who is a person on the ground. Hey, tell me the

00:28:13.740 --> 00:28:16.099
best restaurants that you like to go to. Tell

00:28:16.099 --> 00:28:18.160
me, you know, the secret hidden place that nobody

00:28:18.160 --> 00:28:20.000
knows about that's not on the Internet, that's

00:28:20.000 --> 00:28:22.599
not on some AI chat group or, you know, someplace.

00:28:22.740 --> 00:28:26.220
So I think, again, that shows the power. But

00:28:26.220 --> 00:28:28.579
all of that for the travel industry was enabled

00:28:28.579 --> 00:28:31.279
by the plumbing. And I think that's where the

00:28:31.279 --> 00:28:33.319
attractions industry has to get to. They have

00:28:33.319 --> 00:28:35.599
to have this ability that if somebody wants to

00:28:35.599 --> 00:28:37.640
completely self -serve and get everything they

00:28:37.640 --> 00:28:40.460
want personalized and online and digital, they

00:28:40.460 --> 00:28:43.359
can do that. They can do, you know, hyper visualization

00:28:43.359 --> 00:28:47.019
of the attractions and the restaurant before

00:28:47.019 --> 00:28:49.900
they go. And they can see a virtual layout of

00:28:49.900 --> 00:28:52.599
the ship. And, you know, I'll give you a great

00:28:52.599 --> 00:28:54.859
example as well. You know, we were on this cruise

00:28:54.859 --> 00:28:56.720
on the St. Lawrence. We were the Princess Cruise

00:28:56.720 --> 00:29:00.440
Lines. One of my former. vps is now over there

00:29:00.440 --> 00:29:02.400
he's working at princess and they spent the past

00:29:02.400 --> 00:29:05.240
five years building a digital experience on their

00:29:05.240 --> 00:29:08.380
ships and you have a little a little tchotchke

00:29:08.380 --> 00:29:11.339
almost like disney's magic band you wear it as

00:29:11.339 --> 00:29:15.339
a little you know digital tracker it's it's uh

00:29:15.339 --> 00:29:21.119
uh rfid and near frequency enabled and so wherever

00:29:21.119 --> 00:29:23.440
you are on the ship they know where you're at

00:29:24.090 --> 00:29:26.670
So I can pull up my phone. I can pull up my app

00:29:26.670 --> 00:29:28.390
and I can say, you know what? I want a martini

00:29:28.390 --> 00:29:31.289
right now. I want a lemon drop. They know where

00:29:31.289 --> 00:29:33.210
I'm at and they'll bring it to me wherever I

00:29:33.210 --> 00:29:36.650
am on the ship. I get to my cabin. My cabin door

00:29:36.650 --> 00:29:39.069
automatically opens for me when I walk in. I

00:29:39.069 --> 00:29:40.690
don't have to unlock it. I don't have to swipe

00:29:40.690 --> 00:29:44.490
something. You just walk in. I walk up to a bar

00:29:44.490 --> 00:29:48.210
and the bartender, because it has, you know,

00:29:48.210 --> 00:29:50.680
near frequency on it. He sees me come up, he

00:29:50.680 --> 00:29:52.339
knows that I've got the beverage package, and

00:29:52.339 --> 00:29:54.220
he saw that I bought a martini last time. He

00:29:54.220 --> 00:29:56.539
doesn't even ask me if I have a key card or how

00:29:56.539 --> 00:29:58.539
I'm going to pay. He just goes, hey, Mr. Smith,

00:29:58.640 --> 00:30:01.319
glad to see you. I saw you drank a lemon drop

00:30:01.319 --> 00:30:03.079
last time. You want another one of those or something

00:30:03.079 --> 00:30:05.920
else? I said, I'll pick a whiskey on the rocks.

00:30:06.180 --> 00:30:08.559
Great, here you go. He doesn't ask for my credit

00:30:08.559 --> 00:30:10.279
card, doesn't ask for my room cabin, because

00:30:10.279 --> 00:30:13.180
it automatically just gets billed. So I think,

00:30:13.180 --> 00:30:15.099
you know, there's, but all of that is infrastructure.

00:30:15.960 --> 00:30:19.759
That's Wi -Fi adapters and it's network cables

00:30:19.759 --> 00:30:23.579
and it's routers. You've got to have the plumbing.

00:30:23.660 --> 00:30:25.559
And I think that's where the attractions industry

00:30:25.559 --> 00:30:28.140
has to learn is you've got to get the infrastructure.

00:30:28.700 --> 00:30:30.980
And Disney has struggled with that. You've got

00:30:30.980 --> 00:30:35.039
Wi -Fi at all the parks now, but it's not ubiquitous.

00:30:35.400 --> 00:30:37.440
It's getting there. They've got the enabling

00:30:37.440 --> 00:30:40.099
pieces. But you've got to build a foundation

00:30:40.099 --> 00:30:42.660
if you're going to build a truly immersive digital

00:30:42.660 --> 00:30:46.000
experience. Yeah. Oh. I love everything that

00:30:46.000 --> 00:30:49.900
you're saying. I can't tell you how many times

00:30:49.900 --> 00:30:51.859
we have parks come to us and they say, well,

00:30:52.000 --> 00:30:55.500
we can't have internet in this part of the park.

00:30:55.599 --> 00:30:57.640
And we're like, well, you can. We got to just

00:30:57.640 --> 00:30:59.359
get you the infrastructure, right? You have to

00:30:59.359 --> 00:31:04.079
build infrastructure around what you want the

00:31:04.079 --> 00:31:06.240
guest experience to look like for sure. I think

00:31:06.240 --> 00:31:08.839
what's really interesting, if we can move to

00:31:08.839 --> 00:31:10.519
kind of a little bit of ticketing and point of

00:31:10.519 --> 00:31:12.539
sale, because I know that you've got some work

00:31:12.539 --> 00:31:15.940
that you do with that. as well but you know i

00:31:15.940 --> 00:31:18.819
think it's so fascinating and i appreciate you

00:31:18.819 --> 00:31:21.400
giving us that little plug there for gate master

00:31:21.400 --> 00:31:25.240
because one of the things that we get asked constantly

00:31:25.240 --> 00:31:27.880
is well what if what if this automation takes

00:31:27.880 --> 00:31:30.420
jobs away right and we mentioned that a little

00:31:30.420 --> 00:31:33.460
bit with this but i've not found that to be the

00:31:33.460 --> 00:31:35.920
case i found it to be more what you were talking

00:31:35.920 --> 00:31:37.779
about with the princess cruise line where the

00:31:37.779 --> 00:31:41.119
bartender knows your name and has access to information

00:31:41.119 --> 00:31:44.819
and they can just better serve you I think that's

00:31:44.819 --> 00:31:49.299
really where the attractions need to be looking

00:31:49.299 --> 00:31:52.220
is, is it a tool that can help your team better

00:31:52.220 --> 00:31:54.119
serve the guests? Because I don't think the team

00:31:54.119 --> 00:31:58.700
is going away. The team can't go away. 100%.

00:31:58.700 --> 00:32:01.220
I'll give you a great example, again, on this.

00:32:01.279 --> 00:32:04.039
We had an attraction that we worked with. We

00:32:04.039 --> 00:32:07.819
did analysis of their phone system. They were

00:32:07.819 --> 00:32:09.599
having a lot of guests coming in from overseas.

00:32:09.640 --> 00:32:12.180
It's a Florida -based attraction. They were missing.

00:32:12.799 --> 00:32:16.339
$10 ,000 a week in sales because there was nobody

00:32:16.339 --> 00:32:18.660
there at night to answer the phone. And when

00:32:18.660 --> 00:32:20.859
we initially said, hey, let's put an AI voice

00:32:20.859 --> 00:32:23.039
agent that can take the call, book a ticket,

00:32:23.220 --> 00:32:25.779
answer questions. AI can do that. Well, you're

00:32:25.779 --> 00:32:27.920
going to make me fire Susie. And Susie's been

00:32:27.920 --> 00:32:30.299
with me for 20 years. And she answers our phone

00:32:30.299 --> 00:32:32.720
and she handles our ticket office. I said, I'm

00:32:32.720 --> 00:32:34.799
not telling you to fire Susie. What I'm saying

00:32:34.799 --> 00:32:37.940
is give Susie an AI assistant that can extend

00:32:37.940 --> 00:32:40.700
her reach, help her be more effective, answer

00:32:40.700 --> 00:32:43.910
calls 24 hours a day. sell tickets 24 hours a

00:32:43.910 --> 00:32:46.890
day, help you not miss any guests that want to

00:32:46.890 --> 00:32:48.970
come in and who's calling from the UK or Germany.

00:32:49.150 --> 00:32:51.690
Oh, by the way, the German speaks broken English.

00:32:51.890 --> 00:32:54.769
Put an AI in that's bilingual or trilingual or

00:32:54.769 --> 00:32:58.170
quadlingual. And so what we found when we did

00:32:58.170 --> 00:33:00.269
analysis and a deep dive on all their tool sets

00:33:00.269 --> 00:33:01.769
and their analytics, they were missing all this

00:33:01.769 --> 00:33:03.789
revenue opportunity and we helped them seize

00:33:03.789 --> 00:33:07.750
it. And Susie now is freed up to do other things

00:33:07.750 --> 00:33:11.180
around the park to help. guests that are there

00:33:11.180 --> 00:33:13.720
that are having issues let me resolve that customer

00:33:13.720 --> 00:33:15.779
issue and help you have a better experience here

00:33:15.779 --> 00:33:19.559
in the park so it is an extension it is not a

00:33:19.559 --> 00:33:23.380
replacement it's an augmentation um and it's

00:33:23.380 --> 00:33:24.940
going to have to be that way and so that you

00:33:24.940 --> 00:33:26.380
know when someone comes in they want a premium

00:33:26.380 --> 00:33:29.259
experience you can give that to them and you

00:33:29.259 --> 00:33:32.559
can charge for it and let the ai handle the the

00:33:32.559 --> 00:33:34.319
routine as long as you got all the plumbing done

00:33:34.319 --> 00:33:36.319
and all the automation integration with your

00:33:36.319 --> 00:33:38.819
ticketing and your pos and people can pre -order

00:33:38.819 --> 00:33:40.940
their food and they can pre -order their experiences

00:33:40.940 --> 00:33:44.240
let the technology do that like we do in travel

00:33:44.240 --> 00:33:46.339
and and i think you're going to have a much more

00:33:46.339 --> 00:33:49.160
profitable and and better experience for the

00:33:49.160 --> 00:33:52.039
guests yeah i love this and i love that you said

00:33:52.039 --> 00:33:55.059
a more premium experience because i think that

00:33:55.059 --> 00:33:58.240
is truly what is gonna you know you you mentioned

00:33:58.240 --> 00:34:02.119
that uh what is it uh which generation prefers

00:34:02.119 --> 00:34:06.140
gen z gen z they love virtual and i'm sure alpha

00:34:06.140 --> 00:34:07.400
is going to be the same they just haven't started

00:34:07.400 --> 00:34:09.460
hitting on alpha for the uh you know the status

00:34:09.460 --> 00:34:12.099
well you know what i think about the alpha that's

00:34:12.099 --> 00:34:14.820
interesting is like they don't even look at stuff

00:34:14.820 --> 00:34:16.920
they don't even search stuff anymore they just

00:34:16.920 --> 00:34:19.440
go give me this information right now and i have

00:34:19.440 --> 00:34:22.480
a feeling that's That is going to be the expectation

00:34:22.480 --> 00:34:25.900
from that generation. Oh, absolutely. Oh, my

00:34:25.900 --> 00:34:28.159
phone's actually trying to. There you go. See,

00:34:28.219 --> 00:34:30.420
it's talking to you. Talk to me and give me some

00:34:30.420 --> 00:34:32.320
information. But, you know, you mentioned the

00:34:32.320 --> 00:34:34.119
premium experience. I don't want to go a little

00:34:34.119 --> 00:34:36.019
bit back to that because I think that is really

00:34:36.019 --> 00:34:40.000
what this interfacing with technology is allowing

00:34:40.000 --> 00:34:47.260
your everyday family run park to do. You know,

00:34:47.260 --> 00:34:49.840
we're buying time back with this technology.

00:34:50.559 --> 00:34:53.699
And for smaller attractions, they got limited

00:34:53.699 --> 00:34:55.900
staff, limited budget. They need as much time

00:34:55.900 --> 00:34:58.800
back as they can get. Yeah. Well, I want to talk

00:34:58.800 --> 00:35:01.559
to you a little bit. So we, we, we about, about

00:35:01.559 --> 00:35:06.719
this AI bot that you, you mentioned just a minute

00:35:06.719 --> 00:35:08.920
ago, because we, we, we've known each other for

00:35:08.920 --> 00:35:10.679
a little while going to Florida attractions,

00:35:10.800 --> 00:35:14.400
which by the way, is one of the best associations

00:35:14.400 --> 00:35:18.440
on the planet. They put on a great event. So

00:35:18.440 --> 00:35:22.130
if you're watching. that is a a a plug for the

00:35:22.130 --> 00:35:24.170
florida attractions association it's a very great

00:35:24.170 --> 00:35:27.010
group of people and you know when we joined uh

00:35:27.010 --> 00:35:29.530
they welcomed us like like family and and that's

00:35:29.530 --> 00:35:32.650
really they become our friends um and so you

00:35:32.650 --> 00:35:34.550
know it's it's an event we look forward to every

00:35:34.550 --> 00:35:36.489
year and i agree they are a great bunch of people

00:35:36.489 --> 00:35:38.809
it's a great bunch of people it's one of those

00:35:38.809 --> 00:35:42.190
shows that i don't send my team i go personally

00:35:42.190 --> 00:35:44.590
because i i love it because it is like going

00:35:44.590 --> 00:35:46.869
and seeing family and friends every year but

00:35:47.289 --> 00:35:49.130
This year, we started talking about this bot

00:35:49.130 --> 00:35:52.250
that you have that is interfacing with customers,

00:35:52.389 --> 00:35:55.110
like you said, allowing people to have 24 -7

00:35:55.110 --> 00:36:01.349
access to attractions and conversations and getting

00:36:01.349 --> 00:36:03.590
questions answered and buying tickets. Can you

00:36:03.590 --> 00:36:05.250
tell us a little bit more about that? Because

00:36:05.250 --> 00:36:07.889
I think it's such a fascinating. Yeah, you know,

00:36:07.889 --> 00:36:09.570
so, you know, we have a lot of conversations

00:36:09.570 --> 00:36:12.030
in the team and with our customers about artificial

00:36:12.030 --> 00:36:14.510
intelligence. And, you know, so I think the big

00:36:14.510 --> 00:36:17.349
thing to understand is AI. has personalities

00:36:17.349 --> 00:36:20.670
um and i i have some very strong opinions about

00:36:20.670 --> 00:36:24.269
where i think ai is going to go um and i'll share

00:36:24.269 --> 00:36:25.989
those in a couple seconds here but i think the

00:36:25.989 --> 00:36:28.670
first part to talk about is that we've gone out

00:36:28.670 --> 00:36:31.030
with different attraction customers and we've

00:36:31.030 --> 00:36:34.530
helped them find the right ai to help them solve

00:36:34.530 --> 00:36:37.750
their problems and my favorite is you know we

00:36:37.750 --> 00:36:39.429
have a customer they're a renaissance festival

00:36:39.789 --> 00:36:43.289
They do, you know, jousting and, you know, beer

00:36:43.289 --> 00:36:45.690
halls and they have a Celtic day and they have,

00:36:45.690 --> 00:36:48.690
you know, lords and knights and princesses and

00:36:48.690 --> 00:36:51.969
the king. And so they needed an AI that could

00:36:51.969 --> 00:36:54.710
interact with guests and would understand medieval

00:36:54.710 --> 00:36:58.949
speak. And so we went through multiple AIs and

00:36:58.949 --> 00:37:01.489
we had to find one that could actually chat in

00:37:01.489 --> 00:37:03.650
AI speak. And so, you know, you call them and

00:37:03.650 --> 00:37:06.070
you talk to them or you chat online and the AI

00:37:06.070 --> 00:37:08.960
will say, you know, say. Good sir, how art thou

00:37:08.960 --> 00:37:12.519
today? Fair maiden, how art thou today? And so

00:37:12.519 --> 00:37:15.699
it will talk to interact as if they're inside

00:37:15.699 --> 00:37:19.360
that universe of medieval times or Renaissance

00:37:19.360 --> 00:37:22.360
festival. And, you know, we got another festival

00:37:22.360 --> 00:37:23.820
that we're working with and we're helping to

00:37:23.820 --> 00:37:27.019
train. It's an annual Scottish festival. And

00:37:27.019 --> 00:37:30.360
we found an AI that speaks with a Scottish brogue

00:37:30.360 --> 00:37:33.519
and knows, you know, what's your clan and what's

00:37:33.519 --> 00:37:35.820
your kilt? I can do an Irish accent. I can't

00:37:35.820 --> 00:37:40.449
do a Scottish one. But, you know, AIs have personalities

00:37:40.449 --> 00:37:42.710
and some are good at some things and some are

00:37:42.710 --> 00:37:45.230
not so good. So, like, you know, if you want

00:37:45.230 --> 00:37:49.349
to have a legal document put together, use Claude.

00:37:49.369 --> 00:37:52.090
Claude's much better. If you want something creative,

00:37:52.210 --> 00:37:55.610
go use ChatGPT. But I think what's going to happen

00:37:55.610 --> 00:37:58.949
in that whole world is AIs are going to evolve

00:37:58.949 --> 00:38:01.690
and you're going to have AIs that are very specific.

00:38:01.889 --> 00:38:04.630
So we're building an AI today for a medical staffing

00:38:04.630 --> 00:38:08.429
company. That AI has to know everything about

00:38:08.429 --> 00:38:10.329
the medical industry. It's got to be able to

00:38:10.329 --> 00:38:13.489
speak in their language, use their terms, understand

00:38:13.489 --> 00:38:16.889
their slang. And so to do that, I'm training

00:38:16.889 --> 00:38:18.710
or we're training. I'm not training anything.

00:38:18.829 --> 00:38:21.530
Somebody on my team is. But, you know, we're

00:38:21.530 --> 00:38:24.630
training that bot to understand every aspect

00:38:24.630 --> 00:38:26.530
of their business. And, you know, and I think

00:38:26.530 --> 00:38:28.829
the one that showed up here most recently, you

00:38:28.829 --> 00:38:30.929
know, you know, I guess what is it? ChatGPT has

00:38:30.929 --> 00:38:33.480
spent 150, 200 million dollars. building their

00:38:33.480 --> 00:38:35.739
first large language model and then deep seek

00:38:35.739 --> 00:38:37.800
which the chinese bill costs five million dollars

00:38:37.800 --> 00:38:40.340
in five years it's going to cost probably half

00:38:40.340 --> 00:38:42.219
a million or a quarter million dollars to build

00:38:42.219 --> 00:38:44.980
yourself a large language model so big companies

00:38:44.980 --> 00:38:47.099
are going to be able to build large language

00:38:47.099 --> 00:38:49.739
models that run and understand their business

00:38:49.739 --> 00:38:53.179
so as we build out this technology we're trying

00:38:53.179 --> 00:38:55.360
to find the right solutions for companies and

00:38:55.360 --> 00:38:58.659
if you look at a small attraction so you know

00:38:58.659 --> 00:39:02.610
you can get a a you know a current on the market

00:39:02.610 --> 00:39:08.329
gpt claude you know gronk and you can rent those

00:39:08.329 --> 00:39:10.670
and you can go in and automate things like we

00:39:10.670 --> 00:39:13.090
just talked about for for a few hundred dollars

00:39:13.090 --> 00:39:16.630
a month let's put ai in front of your customer

00:39:16.630 --> 00:39:18.389
and answer questions so that you're relieved

00:39:18.389 --> 00:39:21.610
of those 90 or 75 percent of the questions 80

00:39:21.610 --> 00:39:24.429
20 rule have your your guest experience people

00:39:24.429 --> 00:39:26.889
your human deal with the tough issues um take

00:39:26.889 --> 00:39:29.170
that a on the back office help consolidate automate

00:39:29.170 --> 00:39:32.150
reconcile your books do analytics on where you're

00:39:32.150 --> 00:39:35.010
losing and making money help you uh deal with

00:39:35.010 --> 00:39:37.809
multiple payments that's stuff that a small business

00:39:37.809 --> 00:39:40.630
can leverage for a few hundred bucks it doesn't

00:39:40.630 --> 00:39:43.489
have to be tens of thousands of dollars so what

00:39:43.489 --> 00:39:45.650
we're trying to do is is help people step into

00:39:45.650 --> 00:39:49.769
this world learn uh what ai can and can't do

00:39:49.769 --> 00:39:51.869
you know separate the wheat from the chaff because

00:39:51.869 --> 00:39:53.510
there's a lot of misnomers out there and a lot

00:39:53.510 --> 00:39:56.730
of bs a lot of promises being made about this

00:39:56.730 --> 00:39:58.550
is going to make you a millionaire and save you

00:39:58.550 --> 00:40:00.909
millions of dollars or make you millions of dollars.

00:40:01.349 --> 00:40:04.650
Not true in all cases. But step into it. Find

00:40:04.650 --> 00:40:06.909
those little areas where our customers and our

00:40:06.909 --> 00:40:09.110
attractions and our entertainment venues can

00:40:09.110 --> 00:40:12.389
have success, not spend a fortune, solve some

00:40:12.389 --> 00:40:14.809
real problems, get some more time back, get that

00:40:14.809 --> 00:40:17.510
leverage, and then invest in those premium experiences

00:40:17.510 --> 00:40:20.389
we talked about. Yeah, I love that. And you kind

00:40:20.389 --> 00:40:21.750
of reminded me of something. So, you know, one

00:40:21.750 --> 00:40:25.139
of my favorite movies is Cable Guy. Remember

00:40:25.139 --> 00:40:28.840
that movie with Jim Carrey? And when he brings

00:40:28.840 --> 00:40:33.219
his buddy into the jousting. And it's funny because

00:40:33.219 --> 00:40:38.139
you said the AI speaks the medieval language.

00:40:38.780 --> 00:40:42.539
There's that one point where the server breaks

00:40:42.539 --> 00:40:44.900
character. He's like, no, he's serious, buddy.

00:40:45.059 --> 00:40:47.719
He totally stops speaking in that language. And

00:40:47.719 --> 00:40:49.699
you don't have to worry about that with the AI.

00:40:49.900 --> 00:40:53.519
It's going to stay on character. i mean you know

00:40:53.519 --> 00:40:56.380
ai's do a better job of recruiting i mean we

00:40:56.380 --> 00:41:00.260
we've got proof if you let an ai do the interview

00:41:00.260 --> 00:41:03.300
it has no bias it doesn't care what the other

00:41:03.300 --> 00:41:06.099
person therein looks like sounds like uh that's

00:41:06.099 --> 00:41:07.940
going to ask the same questions of every single

00:41:07.940 --> 00:41:10.440
candidate it's going to analyze the the same

00:41:10.440 --> 00:41:12.559
way for every single candidate and so what we're

00:41:12.559 --> 00:41:16.500
seeing for ai agents that do the recruiting higher

00:41:16.500 --> 00:41:19.719
retention better candidates stick longer with

00:41:19.719 --> 00:41:22.570
a job um and perform better on the job when they

00:41:22.570 --> 00:41:27.730
start because the ai did all of the questioning

00:41:27.730 --> 00:41:32.030
in a completely unbiased way for every single

00:41:32.030 --> 00:41:35.250
candidate that came through the pipeline so it's

00:41:35.250 --> 00:41:37.940
it's it's it's going to be a very different world

00:41:37.940 --> 00:41:41.099
i mean you just blew my mind well i i have so

00:41:41.099 --> 00:41:42.519
many questions for you and i don't know if we

00:41:42.519 --> 00:41:44.400
have time for that and you've been so generous

00:41:44.400 --> 00:41:48.199
today with your time and and and i'm just blown

00:41:48.199 --> 00:41:50.980
away by this conversation but selfishly i do

00:41:50.980 --> 00:41:52.519
have a question for you because i know you've

00:41:52.519 --> 00:41:54.980
been kind of following gate master for a little

00:41:54.980 --> 00:41:57.840
while and from an outside perspective i just

00:41:57.840 --> 00:42:00.360
want to ask here right now you know what is one

00:42:00.360 --> 00:42:05.079
area that you maybe think platforms like ours

00:42:05.079 --> 00:42:08.630
or maybe you feel like we need to go this direction

00:42:08.630 --> 00:42:15.150
are uh innovating what direction do you see tickets

00:42:15.150 --> 00:42:17.809
innovating and point of sale innovating in the

00:42:17.809 --> 00:42:21.590
future for attractions so i i think i'm going

00:42:21.590 --> 00:42:27.769
to go back to um api robust api interfaces so

00:42:27.769 --> 00:42:30.210
that you know i'll go back and this this this

00:42:30.210 --> 00:42:31.989
term has been around forever but i'll it's the

00:42:31.989 --> 00:42:33.809
five innies and and i don't know if you ever

00:42:33.809 --> 00:42:36.550
heard this before but it's any application anytime

00:42:36.550 --> 00:42:42.710
anywhere any user any place okay and so making

00:42:42.710 --> 00:42:46.750
your platform highly flexible and open i think

00:42:46.750 --> 00:42:48.170
is going to be critical because the glue that's

00:42:48.170 --> 00:42:49.369
going to push all this stuff together in the

00:42:49.369 --> 00:42:51.710
future is going to be ai so if you want to enable

00:42:51.710 --> 00:42:53.130
the future you got to make sure that you have

00:42:53.130 --> 00:42:56.309
a robust api api set and and gate master has

00:42:56.309 --> 00:42:59.590
that they've got that and the other part is real

00:42:59.590 --> 00:43:01.809
-time data infrastructure which you guys also

00:43:01.809 --> 00:43:04.920
have and i think that's also super important

00:43:04.920 --> 00:43:09.380
um you know everything now is instantaneous you

00:43:09.380 --> 00:43:11.199
were talking about the kids you know hey what

00:43:11.199 --> 00:43:12.679
what's happening you know and they're talking

00:43:12.679 --> 00:43:15.900
i do that i sit in my car and i yell at my my

00:43:15.900 --> 00:43:19.420
siri and chad gpt and claude the whole route

00:43:19.420 --> 00:43:21.260
in my wife screams at me you're not going to

00:43:21.260 --> 00:43:23.320
get the answers and i said but you're supposed

00:43:23.320 --> 00:43:26.179
to And to do that, you've got to have the APIs,

00:43:26.460 --> 00:43:28.300
you've got to have the real -time data, and you've

00:43:28.300 --> 00:43:31.659
got to have the connectivity. And so I think,

00:43:31.659 --> 00:43:33.420
you know, GateMaster is doing those things. And

00:43:33.420 --> 00:43:34.980
our partnership with you, I think it's one of

00:43:34.980 --> 00:43:36.719
those that's illustrating that. But I think it's

00:43:36.719 --> 00:43:38.380
the partnership that you do with, you know, a

00:43:38.380 --> 00:43:41.179
lot of the people that you work with. Yeah, no,

00:43:41.320 --> 00:43:44.340
I like what you said about infrastructure. I

00:43:44.340 --> 00:43:48.059
think that is the key for sure. You know, I just

00:43:48.059 --> 00:43:49.719
don't know if the hardware is caught up yet,

00:43:49.780 --> 00:43:53.420
right? it's going to get there quantum computing

00:43:53.420 --> 00:43:56.480
is coming and then you know my big question about

00:43:56.480 --> 00:44:00.340
quantum computing is where's all that manipulation

00:44:00.340 --> 00:44:04.599
happening in quantum space because even the guys

00:44:04.599 --> 00:44:07.119
that built it don't know i shouldn't say guys

00:44:07.119 --> 00:44:09.719
when i say guys i mean you know the scientists

00:44:09.719 --> 00:44:11.920
and engineers both male and female who are doing

00:44:11.920 --> 00:44:15.519
that they don't know how that quantum level mechanics

00:44:15.519 --> 00:44:19.260
is working it's still theoretical But what it

00:44:19.260 --> 00:44:21.739
can do and how it does it at scales that are

00:44:21.739 --> 00:44:23.980
just unimaginable. And that's why I get super

00:44:23.980 --> 00:44:27.300
excited as a nerd, you know, a Star Trek fan,

00:44:27.360 --> 00:44:29.659
a Trekkie. You know, I'm still waiting for, you

00:44:29.659 --> 00:44:32.460
know, warp drive, engage. You know, I'm looking

00:44:32.460 --> 00:44:35.420
for that warp bubble. Yeah, that's awesome. That's

00:44:35.420 --> 00:44:37.860
awesome. And yeah, we're going to have to have

00:44:37.860 --> 00:44:42.139
a whole other conversation on computing. that's

00:44:42.139 --> 00:44:45.000
i agree that's that's some wild territory right

00:44:45.000 --> 00:44:48.059
there well steve it has been so inspiring to

00:44:48.059 --> 00:44:50.179
talk to you today it's a very thought -provoking

00:44:50.179 --> 00:44:53.719
conversation and and you're always so much fun

00:44:53.719 --> 00:44:56.019
to talk to you you know every time i see you

00:44:56.019 --> 00:44:59.719
i i always enjoy talking to you and you've given

00:44:59.719 --> 00:45:03.400
us such a great window of what's possible for

00:45:03.400 --> 00:45:06.260
not only from not only a global perspective but

00:45:06.260 --> 00:45:10.239
for emerging technology, human centered design.

00:45:10.420 --> 00:45:13.179
I love that you're still keeping this human.

00:45:13.179 --> 00:45:15.219
You're still humanizing all of this. It's all

00:45:15.219 --> 00:45:17.739
about the people, Sandra. Nothing works unless

00:45:17.739 --> 00:45:20.480
it works for the people using it. Right. And

00:45:20.480 --> 00:45:23.260
I love that. And, you know, I think that's exactly

00:45:23.260 --> 00:45:24.900
where we're going to see a lot of attractions

00:45:24.900 --> 00:45:28.099
heading. And again, you know, just really want

00:45:28.099 --> 00:45:30.179
to thank you for being here. If somebody would

00:45:30.179 --> 00:45:32.159
like to get ahold of you directly, and I hope

00:45:32.159 --> 00:45:34.320
that's okay, what's the best way? And we can

00:45:34.320 --> 00:45:36.909
post it in the chat too. Once you tell us. Shoot

00:45:36.909 --> 00:45:40.989
me an email, ssmith at telanus .com. And if I

00:45:40.989 --> 00:45:42.929
don't answer, I'll probably answer, but then

00:45:42.929 --> 00:45:44.269
I'll hand it off to someone who can do a much

00:45:44.269 --> 00:45:46.789
better job answering than me. Again, I'm good

00:45:46.789 --> 00:45:49.889
at kissing babies and shaking hands and painting

00:45:49.889 --> 00:45:51.650
a big vision, but there's people on my team that

00:45:51.650 --> 00:45:53.050
are a lot smarter than me that get stuff done

00:45:53.050 --> 00:45:55.690
every day for our customers. So they can definitely

00:45:55.690 --> 00:45:58.590
help you figure out a problem. And listen, it

00:45:58.590 --> 00:46:00.269
doesn't have to be something that's a paid engagement.

00:46:00.369 --> 00:46:01.989
Just have questions. You want to knock around

00:46:01.989 --> 00:46:05.039
some ideas. We're happy. I'm happy to jump on

00:46:05.039 --> 00:46:07.219
a call, get on a Zoom, and we'll just have some

00:46:07.219 --> 00:46:09.800
conversation because this is just too exciting.

00:46:09.840 --> 00:46:11.380
There's too much happening. There's too much

00:46:11.380 --> 00:46:14.219
opportunity. This is going to be one of the most

00:46:14.219 --> 00:46:16.119
exciting times for the people that are alive

00:46:16.119 --> 00:46:19.719
today in human history. So I'm just along for

00:46:19.719 --> 00:46:21.840
the ride. Yeah, I'm along for the ride, too,

00:46:21.900 --> 00:46:24.219
and I'm really excited to see where we go. So

00:46:24.219 --> 00:46:26.599
thank you again for being here. No, thank you.

00:46:26.699 --> 00:46:29.039
See you soon. All right. See you. Take care,

00:46:29.079 --> 00:46:33.829
Steve. All right. Well, once again, thank you

00:46:33.829 --> 00:46:36.050
to Steve for being here. I hope you guys enjoyed

00:46:36.050 --> 00:46:39.769
that show. I did. I'm also probably a Star Trek

00:46:39.769 --> 00:46:45.250
sci -fi nerd myself. So sorry, I'm not calling

00:46:45.250 --> 00:46:47.630
Steve a nerd. I'm calling myself a nerd. But

00:46:47.630 --> 00:46:49.329
I used to have a shirt that said I love nerds

00:46:49.329 --> 00:46:53.300
in my 20s. So maybe that is. is is a theme for

00:46:53.300 --> 00:46:56.960
me but you know i i love this conversation and

00:46:56.960 --> 00:46:59.159
where we're going with technology and i hope

00:46:59.159 --> 00:47:01.320
that maybe you took something away from today's

00:47:01.320 --> 00:47:03.519
show that helps you maybe understand what the

00:47:03.519 --> 00:47:05.260
future looks like a little bit more maybe how

00:47:05.260 --> 00:47:08.599
you can create more personalized experience in

00:47:08.599 --> 00:47:12.019
for your guests and your attractions so once

00:47:12.019 --> 00:47:15.059
again i want to thank gate master our sponsor

00:47:15.059 --> 00:47:19.260
for making today's episode possible If your attraction

00:47:19.260 --> 00:47:22.920
is ready to integrate smarter systems, streamline

00:47:22.920 --> 00:47:26.360
operations, and prepare for the next wave of

00:47:26.360 --> 00:47:29.659
innovation, visit GateMaster .com and see how

00:47:29.659 --> 00:47:32.940
they're helping attractions embrace the future

00:47:32.940 --> 00:47:36.539
today. I want to thank you all for watching Live

00:47:36.539 --> 00:47:39.639
with Sondra. And until next time, keep innovating,

00:47:39.739 --> 00:47:44.000
keep creating unforgettable experiences, and

00:47:44.000 --> 00:47:45.920
keep leading with the heart. And I'll see you

00:47:45.920 --> 00:47:47.929
all soon. Take care, everybody.
