WEBVTT - Ferrari Fandom, Supercharged by AI

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<v Speaker 1>Welcome to Tech Stuff, a production from iHeartRadio. This season

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<v Speaker 1>on Smart Talks with IBM, Malcolm Glabwell is back, and

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<v Speaker 1>this time he's taking the show on the road. Malcolm

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<v Speaker 1>is stepping outside the studio to explore how IBM clients

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<v Speaker 1>are using artificial intelligence to solve real world challenges and

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<v Speaker 1>transform the way they do business, from accelerating scientific breakthroughs

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<v Speaker 1>to reimagining education. It's a fresh look at innovation in action,

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<v Speaker 1>where big ideas meet cutting edge solutions. You'll hear from

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<v Speaker 1>industry leaders, creative thinkers, and of course Malcolm Glabwell himself

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<v Speaker 1>as he guides you through each story. New episodes of

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<v Speaker 1>Smart Talks with IBM drop every month on the iHeartRadio app,

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<v Speaker 1>Apple Podcasts, or wherever you get your podcasts. Learn more

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<v Speaker 1>at IBM dot com, slash smart.

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<v Speaker 2>Talks, pushkin.

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<v Speaker 3>I never went to a Formula one race as a

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<v Speaker 3>kid because we lived in southern Ontario and there was

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<v Speaker 3>just one F one race in Canada.

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<v Speaker 4>That race was in.

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<v Speaker 3>Montreal, a good seven hour drive away. I never watched

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<v Speaker 3>F one race on television either, because we didn't have

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<v Speaker 3>a television, But what I did have was a subscription

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<v Speaker 3>to the car magazine Road and Track and Roadent Track

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<v Speaker 3>took f one very seriously. Every month my new issue

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<v Speaker 3>would arrive, I would turn immediately to the long detailed

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<v Speaker 3>account of that month's race, and I fell in love.

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<v Speaker 3>It's been fifty years, but I can still rattle off

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<v Speaker 3>the names of all the top drivers of that era

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<v Speaker 3>from memory, James Hunt, Mario Andretti, Carlos Pace, Jacqueslafitte, and

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<v Speaker 3>of course the greatest of them all, my adolescent idol,

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<v Speaker 3>Nikki Lauda, who won two world championships in the mid

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<v Speaker 3>nineteen seventies with Scoodery Ferrari.

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<v Speaker 5>He was world championship material from the moment he joined

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<v Speaker 5>the Ferrari team.

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<v Speaker 6>There's no question that in seventy five seventy six I

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<v Speaker 6>was reallydominating the whole thing without any mistake.

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<v Speaker 5>So I did nothing wrong.

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<v Speaker 6>I mean, this was perfect driving.

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<v Speaker 3>If you had met skinny pre adolescent Malcolm in the

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<v Speaker 3>mid nineteen seventies in rural Ontario, there's a good chance

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<v Speaker 3>you would have seen me in my prize Ferrari T shirt.

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<v Speaker 3>I was a fan, one of what the Italians called tifosi,

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<v Speaker 3>a Ferrari devote, and that's what it meant to be

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<v Speaker 3>a fan fifty years ago, t shirts, magazine stories and

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<v Speaker 3>a big Nikki laut a poster on your wall. But

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<v Speaker 3>what does it mean to be a fan today? Today

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<v Speaker 3>we have the Internet and streaming and big data and

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<v Speaker 3>AI and all the other accouterment of the digital age.

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<v Speaker 3>Is there a chance to reinvent the meaning of fandom?

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<v Speaker 5>My name is.

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<v Speaker 3>Malcolm Gladwell listening to the latest episode of Smart Talks

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<v Speaker 3>with IBM, where we offer our listeners a glimpse behind

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<v Speaker 3>the curtain of the world of technology. In our first episode,

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<v Speaker 3>we talked about how an AI assistant created with IBM

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<v Speaker 3>watsonex helps future teachers practice responsive teaching. Our second episode

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<v Speaker 3>was how a custom AI model could help Loreel's researchers

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<v Speaker 3>shape the future of what we put on our faces

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<v Speaker 3>every morning. In this episode, how IBM, one of the

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<v Speaker 3>world's pre eminent technology companies, is joining up with one

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<v Speaker 3>of the world's pre eminent racing brands to fundamentally change

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<v Speaker 3>how fans interact with their favorite team. The size of

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<v Speaker 3>the Scuderia Ferrari HP fan base is staggering. Three hundred

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<v Speaker 3>and ninety six million people around the world identify as

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<v Speaker 3>Ferrari fans three hundred and ninety six million. The only

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<v Speaker 3>other fan bases that big belong to the iconic Premier

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<v Speaker 3>League football team like Manchester United or Chelsea FC. I

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<v Speaker 3>don't believe there is any other Formula one team that

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<v Speaker 3>inspires that kind of devotion. Ferrari's job, then, isn't to

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<v Speaker 3>necessarily grow its fan base. Three hundred and ninety six

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<v Speaker 3>million is more than enough fans. Their job is to

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<v Speaker 3>deepen the connection people feel with the scuderya Ferrari team.

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<v Speaker 3>But if I'm Ferrari, how do I find out more

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<v Speaker 3>about who my fans are, what they care about, what

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<v Speaker 3>they want? How do I use my archives and data

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<v Speaker 3>to create experiences that matter to them? How do I

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<v Speaker 3>say to the guy who spent his childhood eagerly reading

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<v Speaker 3>roadent Track every month? Here are other ways you can

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<v Speaker 3>get involved with your favorite F one team today. The

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<v Speaker 3>task of deepening an emotional connection in the digital age

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<v Speaker 3>begins as an information problem, which is where IBM comes in.

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<v Speaker 3>How would you describe what you do?

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<v Speaker 5>I describe it as the probably the best job that IBM.

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<v Speaker 3>Yeah, I was going to say, I was going to

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<v Speaker 3>ask you, do you have the best job at IBM.

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<v Speaker 5>I think so.

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<v Speaker 3>I'm talking to Fred Baker, who leads sports and Entertainment

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<v Speaker 3>for IBM consulting in Europe, the Middle East and Africa.

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<v Speaker 3>You can probably guess from the accent he's FN New Zealand.

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<v Speaker 5>We've had a really interesting range of experience over the

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<v Speaker 5>past sort of five six years. We've worked with Premier

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<v Speaker 5>League clubs like Liverpool Football. We've worked with England Rugby,

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<v Speaker 5>Saint Andrew's Links. We also globally, we've got a global team,

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<v Speaker 5>so we work with the Masters, the US Open, ESPN,

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<v Speaker 5>Fantasy Football, the Grammys.

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<v Speaker 4>You do the tennis stuff. Is it all under Europe?

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<v Speaker 5>Yeah, so we do Wimbledon as well. Yep, that's under myrima.

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<v Speaker 3>If you've ever watched Wimbledon on television, I'm sure you've

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<v Speaker 3>seen at various moments a little IBM logo on the

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<v Speaker 3>bottom of the screen. That's because IBM has been Wimbledon's

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<v Speaker 3>official information technology partner since nineteen ninety. When the idea

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<v Speaker 3>of a collaboration between Ferrari and IBM.

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<v Speaker 4>Was first broached.

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<v Speaker 3>Baker actually took people from Ferrari on a tour of

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<v Speaker 3>IBM's wimbled An operation just so they could see what

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<v Speaker 3>a tech company like IBM could do for a sports franchise.

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<v Speaker 4>Which Wimbledon.

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<v Speaker 5>Did you take them to last year's champs?

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<v Speaker 3>Tell me what you showed them.

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<v Speaker 5>We take them into what we call the bunker, so

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<v Speaker 5>it's literally underground at the Champs, and showed them how

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<v Speaker 5>we bring everything to life from the data capture off

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<v Speaker 5>the courts, how we real time categorize, serve all those

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<v Speaker 5>points to broadcasters and serve them into the app the

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<v Speaker 5>website for millions of fans around the world. They were

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<v Speaker 5>really impressed by that.

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<v Speaker 3>I'm also impressed by that IBM trained to say on

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<v Speaker 3>the language of tennis, and not only the language of tennis,

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<v Speaker 3>but specifically the language of tennis at Wimbledon.

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<v Speaker 5>So it can then decipher what an unforced era or

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<v Speaker 5>a winner or a lob or you know, idiosyncrasies in

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<v Speaker 5>the language. It can decipher all of that, and then

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<v Speaker 5>it can also tell what is a broadcast like to

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<v Speaker 5>talk about that is interesting to a fan. We've trained

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<v Speaker 5>it so it can not only analyze everything going on

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<v Speaker 5>in the match, it can analyze past performances and rationalize

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<v Speaker 5>results based on conditions or form and then make predictions

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<v Speaker 5>that fans can learn from, but it can also pull

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<v Speaker 5>out on the spot really interesting milestones, moments, data points

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<v Speaker 5>that then come out of the mouth of a broadcaster.

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<v Speaker 3>IBM is running an AI model that has been trained

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<v Speaker 3>on huge amounts of tennis data in order to give

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<v Speaker 3>human broadcasters ideas on what they can talk about. And

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<v Speaker 3>it all takes place underground, right near the courts.

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<v Speaker 5>It's literally like it's the underground floor of the broadcast

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<v Speaker 5>center at Wimbledon. It's literally almost under the courts.

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<v Speaker 4>Is IBM got the entire bunker?

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<v Speaker 5>Yeah?

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<v Speaker 4>How big is the room?

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<v Speaker 5>I'm sure our team would like it to be bigger,

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<v Speaker 5>but it's big enough. There's probably thirty forty IBM is

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<v Speaker 5>down there. Man. Seeing it live is just really impressive

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<v Speaker 5>when you see how much which work and intelligence goes

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<v Speaker 5>on to then make an end experience for a fan

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<v Speaker 5>that is really beautiful and representative of their brand and tradition.

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<v Speaker 3>IBM's goal in taking Ferrari to the Wimbledon bunker was

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<v Speaker 3>to show them what it looks like to harness the

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<v Speaker 3>power of data and how this could help shape Scuderia

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<v Speaker 3>Ferraris fan and digital experiences. Could AI learn the language

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<v Speaker 3>of Scuderia Ferrari. What was the original app like before

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<v Speaker 3>IBM got involved. I'm speaking with Stefano Pollard, who runs

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<v Speaker 3>fan development for Ferrari's F one team.

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<v Speaker 6>It was quite a good app, a very good digital product,

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<v Speaker 6>but just an editorial product. So we were providing fans

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<v Speaker 6>news and videos, articles and it was mainly about that.

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<v Speaker 6>The strategy and the idea was trying to use the

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<v Speaker 6>app to have a deeper connection and interaction with our fans,

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<v Speaker 6>make it more interactive, So turning it from an editorial product,

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<v Speaker 6>which was a very good editorial product, to a more

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<v Speaker 6>interactive product, digital product.

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<v Speaker 3>With such a massive undertaking. I asked Stephen how it

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<v Speaker 3>all started once IBM got involved.

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<v Speaker 6>We started really with a very long couple of months

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<v Speaker 6>of discovery phase. So looking at the current app, looking

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<v Speaker 6>at fans, looking at what fans wanted from an app.

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<v Speaker 3>Tell me a little bit more about that phrase something

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<v Speaker 3>a fan wanted? What is it that the super fan

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<v Speaker 3>wasn't getting before? That was something that would tie them

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<v Speaker 3>even closer to Ferrari.

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<v Speaker 6>Having run some focused group, having having read of market research,

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<v Speaker 6>having spoken to fans, and being a fan. The strongest

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<v Speaker 6>inside is Feridy Fans and super fans want to be

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<v Speaker 6>part of something, want to belong to something, so they

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<v Speaker 6>want to be part of a community, and ultimately they

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<v Speaker 6>want to be part of a winning team, so they

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<v Speaker 6>want to feel closer and get access.

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<v Speaker 3>The way Steffan aside, The opportunity wasn't with race days

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<v Speaker 3>when the cars are on the track, the tafosi are

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<v Speaker 3>already locked in, but there was an opportunity to engage

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<v Speaker 3>Ferrari fans on the other days of the week or

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<v Speaker 3>during the off season.

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<v Speaker 5>Formula One is so much more than just the race.

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<v Speaker 4>This is Fred Baker again.

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<v Speaker 5>What we can do is relive the race and bring

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<v Speaker 5>it to life after the fact. We can help them prepare,

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<v Speaker 5>we can help them relive the past, and we can

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<v Speaker 5>also bring the experience around race weekend to life as well.

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<v Speaker 3>That of course, maybe wonder how do you engage fans

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<v Speaker 3>when there's not a race happening. Baker says it all

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<v Speaker 3>comes back to data and information. Talk a little about

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<v Speaker 3>data collection, because you're talking about a brand with tentacles

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<v Speaker 3>everywhere and you're trying to bring a lot of that

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<v Speaker 3>stuff together in the app.

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<v Speaker 5>This is an organization that has for decades used data

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<v Speaker 5>for racing the performance, it's not historically use that data

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<v Speaker 5>for one in the world to see. What we're trying

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<v Speaker 5>to do is expose as much of it as we

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<v Speaker 5>can to fans. So part of collecting the data the

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<v Speaker 5>challenge with around how you go across all the disparate

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<v Speaker 5>different groups that collect data for different purposes. The team

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<v Speaker 5>that collects data on tires, the team that has data

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<v Speaker 5>on drivers, on whether or on competitors, and so on.

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<v Speaker 5>So you're trying to bring all that together and source

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<v Speaker 5>it and make sense of it and train ouri to

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<v Speaker 5>understand what it means, what things on team radio mean,

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<v Speaker 5>what nicknames mean, what abbreviations and slang and idiosyncrasies on

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<v Speaker 5>car specifics and track specifics and so on mean. And

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<v Speaker 5>you're also trying to design for something that is going

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<v Speaker 5>to be fan engaging but also appropriate to all the

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<v Speaker 5>sensitivities of the privacy that's necessary. So you want it

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<v Speaker 5>to be able to do all of that, collect all

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<v Speaker 5>the data, produce something for fans in an automated way, but.

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<v Speaker 3>In order to design something to expertly engage the tafosi

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<v Speaker 3>necessary to understand more about the passion and the type

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<v Speaker 3>of national identity behind the fan base. You need to

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<v Speaker 3>get inside the mind.

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<v Speaker 4>Of the super fan.

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<v Speaker 3>If you wanted to meet some modern day to Fosie

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<v Speaker 3>in the United States, you could head to a bar

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<v Speaker 3>in Midtown Manhattan called Fela. Every race day, Formula One

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<v Speaker 3>fans gathered Feala to cheer on their favorite drivers, their

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<v Speaker 3>favorite teams, and I mean really cheer. I sent our

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<v Speaker 3>producer Jake Harper to Feala on the day of the

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<v Speaker 3>Canadian Grand Prix so you could see the fandom up close.

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<v Speaker 3>The bar gets loud and so crowded it's hard to move.

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<v Speaker 3>Today the room is packed with Scuderia Ferrari HP fans.

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<v Speaker 5>Even your glasses are Ferrari.

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<v Speaker 3>I just noticed that Jake talked to a Ferrari fan

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<v Speaker 3>named Gino who was dressed head to toe in Ferrari's

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<v Speaker 3>signature red and black.

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<v Speaker 5>And my shoes are Ferraria. Fully checked out.

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<v Speaker 7>They were making fun of me last time I was here.

0:12:56.600 --> 0:12:59.040
<v Speaker 7>They're like, is your underwear Ferrari? And I texted my

0:12:59.040 --> 0:13:01.480
<v Speaker 7>girlfriend like, I need Ferrari underwear?

0:13:02.400 --> 0:13:05.400
<v Speaker 5>Did you get it yet? Not yet, I'll work on it.

0:13:05.600 --> 0:13:08.240
<v Speaker 3>Gino's fandom started with Ferrari as a brand.

0:13:09.160 --> 0:13:10.040
<v Speaker 5>I love the cars.

0:13:10.160 --> 0:13:12.200
<v Speaker 7>I think the four fifty eight sCOD areas like the

0:13:12.280 --> 0:13:15.880
<v Speaker 7>pinnacle of automotive engineering. That's my dream car. The four

0:13:15.920 --> 0:13:18.280
<v Speaker 7>point thirty with the glass house for the engine, I mean,

0:13:18.280 --> 0:13:21.520
<v Speaker 7>that's They're all gorgeous. There's always been an aspiration of

0:13:21.559 --> 0:13:26.000
<v Speaker 7>mine the own one, so that naturally made me gravitate

0:13:26.080 --> 0:13:28.640
<v Speaker 7>towards Ferrari. Even when the company I worked for a

0:13:28.760 --> 0:13:34.880
<v Speaker 7>sponsored AMG Petronis, I was secretly like hiding my taposi

0:13:36.040 --> 0:13:37.120
<v Speaker 7>at the races, like.

0:13:37.200 --> 0:13:40.480
<v Speaker 5>Clark Kenton Superman. You're just hiding the uniform underneath. I

0:13:40.520 --> 0:13:41.280
<v Speaker 5>love that. I love that.

0:13:41.360 --> 0:13:43.720
<v Speaker 7>Yeah, I was wearing a Ferrari shirt underneath my suit.

0:13:44.400 --> 0:13:46.840
<v Speaker 3>In one sense, Gino is typical of what Ferrari has

0:13:46.920 --> 0:13:49.600
<v Speaker 3>learned about its followers. A lot of F one fans,

0:13:49.880 --> 0:13:53.880
<v Speaker 3>especially newer fans, are fans of drivers, but the tafosi

0:13:54.400 --> 0:13:57.640
<v Speaker 3>love Ferrari. It's the oldest brand in Formula One, the

0:13:57.679 --> 0:14:00.240
<v Speaker 3>only team that has stuck around since the series was

0:14:00.280 --> 0:14:04.360
<v Speaker 3>founded in nineteen fifty. But in another sense, Gino is

0:14:04.440 --> 0:14:07.280
<v Speaker 3>not typical. He lives in New York. He can go

0:14:07.320 --> 0:14:09.800
<v Speaker 3>to Fala to celebrate F one with other tefhosi.

0:14:10.040 --> 0:14:13.000
<v Speaker 7>I'm a big racing fan, and coming to this bar,

0:14:13.840 --> 0:14:15.520
<v Speaker 7>I found a bunch of people that were in a

0:14:15.760 --> 0:14:16.120
<v Speaker 7>F one.

0:14:16.160 --> 0:14:16.800
<v Speaker 5>Now I'm at this.

0:14:16.800 --> 0:14:20.600
<v Speaker 7>Bar every weekend, just about with four or five friends

0:14:20.600 --> 0:14:22.040
<v Speaker 7>that I made just through racings.

0:14:23.560 --> 0:14:26.240
<v Speaker 3>But lots and lots of Scuderia Ferraris three hundred and

0:14:26.320 --> 0:14:29.120
<v Speaker 3>ninety six million fans don't live in a big city

0:14:29.120 --> 0:14:31.840
<v Speaker 3>with a Ferrari bar, and lots of those three hundred

0:14:31.840 --> 0:14:34.680
<v Speaker 3>and ninety six million fans aren't the kind of hardcore

0:14:34.760 --> 0:14:37.360
<v Speaker 3>fan who dressed head to toe in Ferrari's signature red

0:14:37.360 --> 0:14:42.280
<v Speaker 3>and black. A group that large is diverse, necessarily, and

0:14:42.320 --> 0:14:44.800
<v Speaker 3>one of the first tasks that IBM and Ferrari set

0:14:44.800 --> 0:14:47.840
<v Speaker 3>out to do was to understand the full range of

0:14:47.880 --> 0:14:53.000
<v Speaker 3>the tafosi phenomenon. People like Gino hardcore fans. They were easy,

0:14:53.240 --> 0:14:56.320
<v Speaker 3>they would follow Scuderia Ferrari HB anywhere it wanted to go.

0:14:56.920 --> 0:15:00.359
<v Speaker 4>But who else was out there? The most interesting.

0:15:00.080 --> 0:15:02.720
<v Speaker 3>Addition to the F one fan base were those who

0:15:02.720 --> 0:15:07.880
<v Speaker 3>watched the phenomenally successful Netflix documentary Drive to Survive. These

0:15:07.960 --> 0:15:12.200
<v Speaker 3>tended to be newcomers to the sport, more Americans than Europeans.

0:15:12.800 --> 0:15:17.000
<v Speaker 3>What was their emotional perspective, what did they want here's

0:15:17.000 --> 0:15:19.800
<v Speaker 3>Fred Baker again, the guy with the coolest job at IBM.

0:15:20.040 --> 0:15:21.760
<v Speaker 5>If I'm a passionate fan, I want to read a

0:15:21.760 --> 0:15:24.880
<v Speaker 5>totally different thing on the app to a casual fan

0:15:24.920 --> 0:15:28.440
<v Speaker 5>who is of the Netflix Drive to Survive generation versus

0:15:28.920 --> 0:15:31.040
<v Speaker 5>you know, some really niche personas that we found that

0:15:31.320 --> 0:15:34.560
<v Speaker 5>are super interested but don't find it accessible yet until

0:15:34.560 --> 0:15:37.520
<v Speaker 5>we start to deliver to quite different needs that they have.

0:15:37.760 --> 0:15:40.840
<v Speaker 3>Working with IBM WATSONEX, Baker and his team began to

0:15:40.920 --> 0:15:46.000
<v Speaker 3>develop personas archetypes of all the possible kinds of Ferrari fans,

0:15:46.560 --> 0:15:48.800
<v Speaker 3>because if Ferrari wanted to get better at talking to

0:15:48.840 --> 0:15:52.040
<v Speaker 3>their fans, they had to understand who the fans were.

0:15:52.680 --> 0:15:56.400
<v Speaker 3>And the personas are helping Ferrari and IBM create an

0:15:56.400 --> 0:15:59.880
<v Speaker 3>app that caters to the tafosi in all their iteration.

0:16:01.400 --> 0:16:03.720
<v Speaker 4>How many personas did you come up with?

0:16:04.400 --> 0:16:06.680
<v Speaker 5>I think we had over ten in the end, maybe

0:16:06.720 --> 0:16:09.480
<v Speaker 5>a dozen. And this is different archetypes of people. Even

0:16:09.520 --> 0:16:12.440
<v Speaker 5>that process is helped by AI, so we train AI

0:16:12.600 --> 0:16:15.240
<v Speaker 5>to help us develop out a persona. We can get

0:16:15.840 --> 0:16:19.640
<v Speaker 5>really detailed as to what each archetype is and their

0:16:20.320 --> 0:16:23.160
<v Speaker 5>hobbies and backgrounds and so on. So our own WATSONEX

0:16:23.200 --> 0:16:27.120
<v Speaker 5>helped us in developing those personas, like our research helped

0:16:27.160 --> 0:16:30.640
<v Speaker 5>us uncover a segment of middle aged women in China

0:16:30.720 --> 0:16:34.680
<v Speaker 5>who Ferrari is a real status symbol and they're really

0:16:34.680 --> 0:16:37.080
<v Speaker 5>interested in the Scuderia Ferrari brand and now they can

0:16:37.080 --> 0:16:41.240
<v Speaker 5>engage more with it, but it wasn't yet accessible or

0:16:41.280 --> 0:16:43.800
<v Speaker 5>inclusive enough for them to feel comfortable doing so. Real

0:16:43.840 --> 0:16:47.320
<v Speaker 5>spectrums of fans across those dozen personas that we had

0:16:47.320 --> 0:16:47.800
<v Speaker 5>to design.

0:16:47.840 --> 0:16:52.720
<v Speaker 3>For give me some more examples of personas. Can you

0:16:52.760 --> 0:16:54.280
<v Speaker 3>give me a couple more just so get a flavor?

0:16:54.440 --> 0:16:56.520
<v Speaker 5>Yeah? Sure. So the other obvious one is the Drive

0:16:56.560 --> 0:16:59.480
<v Speaker 5>to Survive fan and that they're probably not a die

0:16:59.520 --> 0:17:01.960
<v Speaker 5>hard all their lives Scouterier Ferrari fan, but they've really

0:17:02.000 --> 0:17:04.440
<v Speaker 5>got into the more social side of formula one that's

0:17:04.480 --> 0:17:07.680
<v Speaker 5>been born out of the really popular series Drive to

0:17:07.720 --> 0:17:10.800
<v Speaker 5>Survive on Netflix. You then have gamer personas who are

0:17:10.840 --> 0:17:15.479
<v Speaker 5>into esports is growing massively in motorsport, and they're probably

0:17:15.480 --> 0:17:17.920
<v Speaker 5>not necessarily into the real life racing quite so much,

0:17:17.960 --> 0:17:19.840
<v Speaker 5>but they're certainly into gaming, So how do you appeal

0:17:19.880 --> 0:17:22.400
<v Speaker 5>to them. Then casual fans who are sort of into

0:17:22.400 --> 0:17:25.080
<v Speaker 5>the luxury of scudo Ferrari, but not the sport necessarily

0:17:25.720 --> 0:17:29.000
<v Speaker 5>do it. Personas have names, Yeah, I mean we give

0:17:29.000 --> 0:17:31.479
<v Speaker 5>them human names too. We had a Max, we had

0:17:31.520 --> 0:17:34.400
<v Speaker 5>an Alfonso. I think we had a Pedro.

0:17:35.200 --> 0:17:38.240
<v Speaker 3>Two women in China. Is she watching F one or

0:17:38.320 --> 0:17:40.800
<v Speaker 3>is she interested more in the brand and what it signifies?

0:17:40.920 --> 0:17:43.560
<v Speaker 5>Yeah, more in the brand and being part of a community.

0:17:43.880 --> 0:17:46.480
<v Speaker 5>If I'm that persona in China, then I probably don't

0:17:46.520 --> 0:17:50.680
<v Speaker 5>feel like I belong to it truly yet, but I'd

0:17:50.720 --> 0:17:52.560
<v Speaker 5>love to feel like I do, so I could start

0:17:52.560 --> 0:17:55.040
<v Speaker 5>to become a part of a digital community, learn more

0:17:55.040 --> 0:17:59.560
<v Speaker 5>about the brand, probably get access to exclusive merchandise, or

0:18:00.320 --> 0:18:03.200
<v Speaker 5>you know, if I can't necessarily own a Ferrari car,

0:18:03.240 --> 0:18:05.560
<v Speaker 5>which let's face it, not many people can. And if

0:18:05.560 --> 0:18:07.440
<v Speaker 5>we're relyinged only on the people who can own a car,

0:18:07.480 --> 0:18:09.720
<v Speaker 5>then we're probably not going to get much engagement. So

0:18:09.800 --> 0:18:12.199
<v Speaker 5>how do we make others feel that they're still a

0:18:12.240 --> 0:18:13.800
<v Speaker 5>part of that community.

0:18:14.560 --> 0:18:16.240
<v Speaker 3>This is what I mean when I say the task

0:18:16.280 --> 0:18:18.960
<v Speaker 3>of relating to the Ferrari fan base is a data

0:18:19.080 --> 0:18:23.760
<v Speaker 3>and information problem. It's about collecting, organizing, and analyzing the

0:18:23.800 --> 0:18:27.440
<v Speaker 3>needs and wants of an enormous pool of people and

0:18:27.520 --> 0:18:31.640
<v Speaker 3>speaking to each of them in their own emotional language.

0:18:32.480 --> 0:18:33.280
<v Speaker 4>Giving all the work.

0:18:33.160 --> 0:18:36.520
<v Speaker 3>Fred put into understanding Ferrari's fan base, I was curious

0:18:36.560 --> 0:18:40.280
<v Speaker 3>to know how his framework would categorize me. I want

0:18:40.320 --> 0:18:43.800
<v Speaker 3>to figure out which persona I am, So I'll describe

0:18:43.800 --> 0:18:44.200
<v Speaker 3>to my.

0:18:44.640 --> 0:18:45.600
<v Speaker 4>Relationship to Ferrari.

0:18:45.720 --> 0:18:51.320
<v Speaker 3>You tell me so what I am is a huge car,

0:18:51.560 --> 0:18:57.639
<v Speaker 3>not so like all cars. Yeah, obsessively collect on a

0:18:57.720 --> 0:19:03.679
<v Speaker 3>very limited stage, benaged cars, read serious car magazines, been

0:19:03.720 --> 0:19:06.480
<v Speaker 3>a lot of time. My car websites have a historical

0:19:06.520 --> 0:19:08.960
<v Speaker 3>relationship to have one because I grew up with Nikki

0:19:09.000 --> 0:19:13.919
<v Speaker 3>Lauder battling James Hunt in loudest for our years. I

0:19:13.920 --> 0:19:17.919
<v Speaker 3>have a get nostalgic connection. Went to Italy with my

0:19:18.160 --> 0:19:21.639
<v Speaker 3>nephew and went to the Ferrari factory and rented one

0:19:21.640 --> 0:19:25.600
<v Speaker 3>of those to drive around, you know, and I follow

0:19:25.640 --> 0:19:25.960
<v Speaker 3>that F one.

0:19:25.960 --> 0:19:26.399
<v Speaker 4>But I wouldn't.

0:19:26.400 --> 0:19:28.760
<v Speaker 3>I would don't think I would ever go to an

0:19:28.920 --> 0:19:31.360
<v Speaker 3>I wouldn't fly to Miami for F one Miam.

0:19:31.400 --> 0:19:34.720
<v Speaker 4>I wouldn't go that far. And I don't have time

0:19:34.760 --> 0:19:37.160
<v Speaker 4>to watch F one on TV on a regular basis.

0:19:37.600 --> 0:19:41.560
<v Speaker 3>But I'm interested, and I have a red Ferrari T

0:19:41.640 --> 0:19:44.399
<v Speaker 3>shirt which I've been known to wear and if you

0:19:44.760 --> 0:19:46.800
<v Speaker 3>if I ever got really rich, would I buy a

0:19:46.800 --> 0:19:47.000
<v Speaker 3>for Aur?

0:19:47.160 --> 0:19:49.800
<v Speaker 4>Yes? I would. Okay, So where am I? Where am

0:19:49.840 --> 0:19:51.879
<v Speaker 4>I in your breakdown?

0:19:52.160 --> 0:19:55.600
<v Speaker 5>Yeah? I think you're probably a combination of the I

0:19:55.640 --> 0:19:59.879
<v Speaker 5>think it's casual loyalist. It's not gonna not gonna overtly

0:20:00.600 --> 0:20:02.840
<v Speaker 5>go out of their way to sort of spend money

0:20:02.840 --> 0:20:04.840
<v Speaker 5>on the racing, but they are loyal to the Ferrari

0:20:04.920 --> 0:20:07.439
<v Speaker 5>brand and they have nostalgia with it or whatever it

0:20:07.480 --> 0:20:09.959
<v Speaker 5>might be. And then the luxury enthusiasts as well, so

0:20:10.320 --> 0:20:13.359
<v Speaker 5>and that type of fan. You're right, We're probably not

0:20:13.359 --> 0:20:15.240
<v Speaker 5>going to engage you by doing a ton more on

0:20:15.320 --> 0:20:18.639
<v Speaker 5>race weekend, but we can engage you by bringing this

0:20:18.880 --> 0:20:24.920
<v Speaker 5>hugely rich amount of archive material, footage, feelings and past

0:20:25.080 --> 0:20:29.600
<v Speaker 5>drivers of yesteryear, by bringing them to life.

0:20:35.119 --> 0:20:39.840
<v Speaker 3>In zero an app that you saw another brand doing

0:20:40.240 --> 0:20:42.040
<v Speaker 3>that served as a kind of model. I don't mean

0:20:42.080 --> 0:20:45.520
<v Speaker 3>within f one, I'm talking about it from any other film.

0:20:45.800 --> 0:20:50.920
<v Speaker 6>On top of being a very sport passionate, I'm let's say,

0:20:51.040 --> 0:20:55.119
<v Speaker 6>a marketing passionate, a digital passionate guy. So I have

0:20:55.160 --> 0:20:57.240
<v Speaker 6>a lot of apps and he also for my job,

0:20:57.280 --> 0:20:59.960
<v Speaker 6>I tried to look at different markets in different apps.

0:21:00.160 --> 0:21:03.240
<v Speaker 3>As we were talking, I was thinking about Strava. I'm

0:21:03.240 --> 0:21:06.120
<v Speaker 3>a huge Stravahead. It's my favorite app. If you don't

0:21:06.160 --> 0:21:09.200
<v Speaker 3>already know, Strava is used by millions of active people

0:21:09.240 --> 0:21:11.760
<v Speaker 3>around the world. I'm a runner and the app shows

0:21:11.760 --> 0:21:14.600
<v Speaker 3>me a map of where I went, how fast I ran,

0:21:15.040 --> 0:21:17.119
<v Speaker 3>what my heart ray was, what the weather was on

0:21:17.200 --> 0:21:17.480
<v Speaker 3>and on.

0:21:17.840 --> 0:21:19.040
<v Speaker 4>Are you a cyclostore runner?

0:21:19.080 --> 0:21:19.639
<v Speaker 6>I'm a runner.

0:21:19.680 --> 0:21:20.240
<v Speaker 5>I'm a runner.

0:21:20.480 --> 0:21:24.520
<v Speaker 6>I run marathons and ultra marathons. I did lights see

0:21:24.600 --> 0:21:25.719
<v Speaker 6>one hundred kilometers.

0:21:25.840 --> 0:21:29.640
<v Speaker 3>As it turns out, Stefano is a Stravahead too. Right

0:21:29.640 --> 0:21:31.960
<v Speaker 3>after I spoke to him, I followed him on Strava.

0:21:32.200 --> 0:21:34.239
<v Speaker 3>He and I run roughly the same distance every day

0:21:34.280 --> 0:21:36.479
<v Speaker 3>at the same pace, and if I'm ever in Milan,

0:21:36.720 --> 0:21:38.720
<v Speaker 3>I'm almost certainly going to look him up to see

0:21:38.760 --> 0:21:40.399
<v Speaker 3>if he'll take me out on one of his favorite

0:21:40.440 --> 0:21:43.400
<v Speaker 3>routes through the city. This is what I love about Strava.

0:21:43.760 --> 0:21:46.399
<v Speaker 3>You can find people to run with and interact with.

0:21:46.840 --> 0:21:50.040
<v Speaker 3>Strava is a community of like minded people, and for

0:21:50.080 --> 0:21:53.320
<v Speaker 3>those like me, the Strava app becomes a regular part

0:21:53.400 --> 0:21:56.560
<v Speaker 3>of my daily routine, and that's what Stefano wanted for

0:21:56.600 --> 0:21:59.800
<v Speaker 3>the Ferrari app. Are you interested in allowing creating sort

0:21:59.800 --> 0:22:04.200
<v Speaker 3>of vast forums for our evans to communicate with each other?

0:22:05.520 --> 0:22:08.960
<v Speaker 6>I think you have to work in three directions. So

0:22:09.080 --> 0:22:13.240
<v Speaker 6>direction number one is a Ferrari to fans, so providing

0:22:13.320 --> 0:22:16.720
<v Speaker 6>them something which is compelling, which has value, and this

0:22:16.960 --> 0:22:18.720
<v Speaker 6>I think we're already doing and we're working on it.

0:22:19.200 --> 0:22:24.119
<v Speaker 6>Second way is fans to Ferrari, so help like allowing

0:22:24.160 --> 0:22:27.159
<v Speaker 6>fans to better interact with us, which was something we

0:22:27.160 --> 0:22:30.040
<v Speaker 6>were not doing with the previous app. For example, we've

0:22:30.240 --> 0:22:33.480
<v Speaker 6>just introduced two features which are polls, so basic ones,

0:22:33.480 --> 0:22:37.080
<v Speaker 6>but polls and the possibility like the submit your message feature.

0:22:37.320 --> 0:22:40.480
<v Speaker 6>So really to work on the way fans to Ferrari.

0:22:40.640 --> 0:22:43.679
<v Speaker 6>And then the third important way to build a community

0:22:43.680 --> 0:22:47.080
<v Speaker 6>and nurture community is like fans to fans. So if

0:22:47.119 --> 0:22:50.000
<v Speaker 6>you were able to work on those trae dimensions of

0:22:50.080 --> 0:22:52.800
<v Speaker 6>Ferrari to fans, fans to Ferrari, and fans to fans,

0:22:53.440 --> 0:22:56.840
<v Speaker 6>that's how you could really create a strong community and

0:22:56.920 --> 0:23:00.000
<v Speaker 6>start really monetizing and creating value. I think we're very

0:23:00.000 --> 0:23:03.439
<v Speaker 6>strong in the first dimension right now. We're building the

0:23:03.480 --> 0:23:06.800
<v Speaker 6>second one, So fans to Ferrari and then definitely the

0:23:06.800 --> 0:23:09.639
<v Speaker 6>third one has to be there in order to have

0:23:09.680 --> 0:23:11.480
<v Speaker 6>a complete community engagement.

0:23:12.040 --> 0:23:13.560
<v Speaker 4>So let's talk about results.

0:23:13.960 --> 0:23:17.159
<v Speaker 3>Scuddery of Ferrari HP launched the new app at the

0:23:17.200 --> 0:23:21.399
<v Speaker 3>Miami Grand Prix in twenty twenty five, incorporating AI elements

0:23:21.520 --> 0:23:24.720
<v Speaker 3>and tailoring it to those archetypes Thread was talking about.

0:23:27.160 --> 0:23:30.280
<v Speaker 3>Are more people using the app? Are users spending more

0:23:30.320 --> 0:23:32.600
<v Speaker 3>time on it they did on the older version of

0:23:32.640 --> 0:23:33.000
<v Speaker 3>the app?

0:23:33.600 --> 0:23:37.360
<v Speaker 6>Yes, we doubled these months the daily active users we

0:23:37.359 --> 0:23:40.040
<v Speaker 6>were having last season, so compared to the average of

0:23:40.080 --> 0:23:43.040
<v Speaker 6>twenty twenty four season, we have more than double of

0:23:43.280 --> 0:23:48.439
<v Speaker 6>daily active users. Also, we're doubling normal months down downloads,

0:23:48.480 --> 0:23:51.879
<v Speaker 6>so we did in these months more than two times

0:23:51.880 --> 0:23:54.439
<v Speaker 6>the download we are doing in a normal months. We

0:23:54.760 --> 0:23:58.560
<v Speaker 6>are increasing by thirty five percent the average time spent

0:23:58.640 --> 0:23:59.960
<v Speaker 6>on app. So KPIs are good.

0:24:01.320 --> 0:24:08.640
<v Speaker 3>If you build the right app, they will come for generations.

0:24:08.800 --> 0:24:12.520
<v Speaker 3>Fans of all varieties have met in public places, the

0:24:12.560 --> 0:24:15.639
<v Speaker 3>stands of stadiums, in bars to watch races and matches

0:24:15.640 --> 0:24:19.000
<v Speaker 3>on television, but there's a chance now for fandom to

0:24:19.040 --> 0:24:22.680
<v Speaker 3>exist on a higher and broader level, for a community

0:24:22.840 --> 0:24:25.920
<v Speaker 3>to be created over the Internet, even when the fans

0:24:25.960 --> 0:24:32.919
<v Speaker 3>are vastly different people who live vast distances apart. I

0:24:32.920 --> 0:24:36.200
<v Speaker 3>could imagine Gino in his Ferrari Red and Black, using

0:24:36.200 --> 0:24:38.840
<v Speaker 3>the scudery of Ferrari app relating to me as I

0:24:38.880 --> 0:24:41.720
<v Speaker 3>relive my memories of Niki Lauda from the nineteen seventies.

0:24:42.440 --> 0:24:44.320
<v Speaker 3>Maybe I could use the app to learn something from

0:24:44.359 --> 0:24:47.920
<v Speaker 3>the woman in China, the Tafosie newcomer, or some seventeen

0:24:48.000 --> 0:24:49.920
<v Speaker 3>year old who got sucked in first by.

0:24:49.880 --> 0:24:50.760
<v Speaker 4>Drive to survive.

0:24:51.680 --> 0:24:55.760
<v Speaker 3>I can imagine myself as part of that vision, taking

0:24:55.800 --> 0:25:12.439
<v Speaker 3>my lifelong obsession to the next level. Smart Talks with

0:25:12.480 --> 0:25:16.880
<v Speaker 3>IBM is produced by Matt Ramano, Amy Gains, McQuaid, Trina Menino,

0:25:17.400 --> 0:25:21.800
<v Speaker 3>and Jake Harper. Were edited by Lacy Roberts. Engineering by

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<v Speaker 3>Nina Bird Lawrence, mastering by Sarah Buguier, music by Gramoscope,

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<v Speaker 3>Strategy by Tatiana Lieberman and Cassidy Meyer. Special thanks to

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<v Speaker 3>Scuderia Ferrari HP and the bar and restaurant Feala in

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<v Speaker 3>New York City. Smart Talks with IBM is a production

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<v Speaker 3>of Pushkin Industries and Ruby Studio at iHeartMedia. To find

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<v Speaker 3>more Pushkin podcasts, listen on the iHeartRadio app, Apple podcasts,

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<v Speaker 3>or wherever.

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<v Speaker 4>You listen to podcasts. I'm Malcolm Glavo.

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<v Speaker 3>This is a paid advertisement from IBM. The conversations on

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<v Speaker 3>this podcast don't necessarily represent IBM's positions, strategies, or opinions.

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<v Speaker 3>I asked Fred Baker to come up with a hypothetical

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<v Speaker 3>something that could fulfill my childhood dreams, something that this

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<v Speaker 3>type of technology could theoretically do that might appeal to

0:26:21.920 --> 0:26:24.879
<v Speaker 3>a fan like me, someone who's interested in the sport

0:26:24.960 --> 0:26:29.280
<v Speaker 3>went back fifty years. He said, what about using AI

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<v Speaker 3>to bring historical cars to life?

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<v Speaker 5>Bringing to live cars of the past and allows fans

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<v Speaker 5>to simulate a nineteen fifty Ferrari race versus nineteen seventy

0:26:41.600 --> 0:26:43.800
<v Speaker 5>one to see who which car would be faster. So

0:26:43.840 --> 0:26:45.280
<v Speaker 5>it's those sorts of trade offs.

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<v Speaker 4>Wait, you could do it. You could do that.

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<v Speaker 3>Tell me about last thing you said you can run

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<v Speaker 3>simulations race simulations out of the app.

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<v Speaker 5>You can't out of the app at this point, So I.

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<v Speaker 4>Know, potentially potentially.

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<v Speaker 5>Yeah, yeah, I can you know, simulate based on a

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<v Speaker 5>whole range of factors that we can feed and train

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<v Speaker 5>it on.

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<v Speaker 3>Wait, so I could hypothetically you could allow me to

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<v Speaker 3>compare Niki Lauder, for example, to a contemporary driver. Ye,

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<v Speaker 3>and and I could say if I put Nicki Lauder

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<v Speaker 3>in a contemporary car, What you're saying is that there

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<v Speaker 3>is a scenario where I could recreate that era in

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<v Speaker 3>modern cars and get a sense of how my childhood

0:27:27.840 --> 0:27:30.960
<v Speaker 3>heroes were performing, would have performed a break day.

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<v Speaker 4>Yeah.

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<v Speaker 5>Yeah, So you can analyze and understand how you would

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<v Speaker 5>rank all drivers of all time based on the different

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<v Speaker 5>traits of a driver, right, So you can say who's

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<v Speaker 5>the best late breaking, Who's who was typically the best

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<v Speaker 5>on a tight track with limited overtaking opportunities, who was

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<v Speaker 5>the best overtaker, who was the best of all these traits.

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<v Speaker 5>You then apply those traits and rankings to different tracks

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<v Speaker 5>and different cars where you know different Some different cars

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<v Speaker 5>are better for a late breaker, some different cars are

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<v Speaker 5>better for a you know, on straights and so on.

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<v Speaker 5>So you can simulate, You could hypothetically allow fans to

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<v Speaker 5>simulate any scenario. You could say who's going to win

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<v Speaker 5>and Monaco on a nineteen eighty model car. You can

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<v Speaker 5>put a current driver in a nineteen eighty car equally,

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<v Speaker 5>So you can do all sorts of fun and simulations,

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<v Speaker 5>and that's just the beginning.