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Please welcome to the stage.
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The CEO of amier at rga, Rebecca
bazina, and the chief creative officer at rga.
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Nick pringle.
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Thank you.
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Hello.
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Pleasure to be here.
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And the weather has held up, which is
great for everyone.
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Hope.
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Ever once had a good day?
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We're from rga.
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We are a creative innovation company.
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We work with global brands, a lot of
the big four tech companies, Nike Google.
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And we're really excited to chat to
you.
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I'm Rebecca.
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I'm the CEO in a mea.
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And I'm Nick.
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Actually, pray, not sir.
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Ij inamir expects that it's great to be
here for a short time.
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It's only bringing the rain all the way
from London.
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Turns out we're actually ok.
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So I want to spend the next twenty or
so minutes talking about
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groundbuilding in the Era of AI.
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So what does it mean to build brands in
the Era of AI?
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And when we think about brand building,
generally, over the many, many years
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we've been doing it for a longest time,
it's been an attention game.
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So we put great advertising out into
the world.
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It's a mass message.
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We get, like swallowers fans.
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We put our message out there in a very
broadcast type of way.
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Sometime around about let's say,
fifteen years ago, we moved into the
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personalization Era.
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We went dot com, we got Apps.
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Suddenly the way that we could build
our brand became in this new
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personalized way.
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So we would track people, we would
target people.
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We would cookie the hell out of you
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adverts, which follow you around the
internet
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with this kind of personalization area.
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When you think about it, actually was
sort of deeply impersonal.
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I always think of it as the dead hand
of marketing, following around, trying
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to sell you something.
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We've all tried to rally against that.
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Right?
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Cookies are going, we will have ad
blockers.
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We go onto streaming services.
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We don't go to
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regular linear TV so much.
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But that Era, our contention, is
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is starting to come to an end.
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And we're going to move into this
period of building brand
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through intimacy.
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So from attention to personalization
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to intimacy.
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And it is generative AI that allows us
to build brands in this more intimate
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human way and to live that humanity at
scale.
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So let's go back a little bit.
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Let's go back 48 months and see what's
happened.
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There's been this race to commercialize
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AI technologies.
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All of the big five tech players, and
some new ones
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have come into the market, rapidly
evolving the technology.
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So
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202248
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months ago, chat gtp goes live.
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We're all wow by its text to text
capabilities.
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Mid journey appears, suddenly we have
text to image.
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Our social feeds are filling up with
incredible
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visions and images that everyone could
suddenly create and put that out into
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the world.
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Somewhere in 2023,
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we have this huge epic year.
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Microsoft invests 100 million dollars
into open end AI, on top of what we've
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already spent.
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Chat gtp four goes live.
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Suddenly AI is ripping the current
internet, incredible data set in order
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to work its magic.
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Amazon firefly indemnifize
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product, which is very important
because it means brands suddenly are
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able to use generative AI images in
their workflow, in their content.
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Mid journey puts out a new update.
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That's even more incredible.
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Metajor raised with Lama, too.
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And then j s, which is the first
Arabic, large language model, comes to market.
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All in twelve months.
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Extraordinary tech innovation.
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And here we are
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in 2024,
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only a couple of months in, and
there've been a few huge events.
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So Jim and I has come to market, which
was barred from Google.
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Incredible, what jem and I can do.
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And openai launches sorrow, which is
their text of video proposition, which
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is completely mind blowing.
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And we'll have a look at that in a
second.
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But so,
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what
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the tech companies are iterating, their
technology, it's incredible.
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Why does this really matter to us?
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People who are so
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concerned about
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consumers and what their needs are?
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And the reality is that
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it's all about the adoption of this
technology by people.
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So if we think about some of the
platforms that live in our lives now
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that are so central to our lives that
we don't even think about spotfire.
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Instagram, many, many others
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Spotify, 150
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days to get to a million users.
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Instagram, 75 days to get to a million
users.
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Chat gtp, five days,
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five days.
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Sketch of million uses.
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As of this week, 100 million weekly
users
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on chat gtb.
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That is a huge adoption
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from people like, maybe, like we've
never seen before
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it's in people's lives.
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And so here we are.
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Life is becoming
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AI assisted,
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slowly, instead, our lives, because
it's become even more AI assisted.
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So
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talking about creation first, and our
ability to create beautiful things.
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We did this before we came here today.
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This
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text prompt,
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a beautiful, generative world of Dubai
harbor
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in the year to that 200,
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in the style of Star Wars.
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Rogue one, hyperfuturistic
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cities in the distance, Ar 169,
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and this is what we get.
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It's unbelievable.
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I don't have the skill level to create
this, but I can simply tap in a few
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prompts, and I can create this
incredible artistic imagery.
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But what about this?
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We're talking about sorrow and sorrow's
ability to go from text to video.
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Here's a prompt,
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a movie trailer featuring the
adventures of a thirty year old
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spaceman wearing a red wool knitted
motcycle helmet
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blue sky salt.
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Salt there's a classic cinema style
shot on 35 billion
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film vivid colors.
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I think it agrees nothing short of
extraordinary.
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And it just comes from a few text props.
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Hollywood is terrified.
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Production companies are shaking in the
needs.
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Unsurprisingly, people have hard to
read till their business.
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Because what is possible here, and what
would be increasingly possible.
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But what I want you think about is this
is people prompting to get outcomes.
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These are creative outcomes but think
about productivity outcomes that you
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can prompt.
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So
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if you're a kid at the age of sixteen
doing your exams right now, you're prompting
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gpt to do your college essays.
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You can get it to tell you how to train
for the marathon, injury free.
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You can outline your Dubai link's talk,
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which we didn't do, Patri should have
done.
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But there's so much more.
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Book my holiday with my friends, write
my LinkedIn post, build my website, no
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code, build my website for my new start
up.
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And it goes on and it goes on and it
goes on.
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And this prompting sensibility
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is slowly going to become in every
single part of our lives.
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And indeed it will go into the
platforms that we use every single day.
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So again, why is that important?
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Well, it's about customer expectation.
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And in our business we've always been
about understanding new, customer expectation.
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And the changing expectation
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is that digital experiences will
deliver extraordinary
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outcome was, for me,
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personal outcomes.
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For me.
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This is a big change.
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This is what we would regard
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as experience
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3 point o.
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Now, I don't know if you've heard this
term before, but I think it's going to
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become very important and become very
salient.
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3 point o.
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So to understand experience 3 point
iOS, worth spending a week thinking
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about what are the other areas of
experience that we've gone through?
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So 1 point o, cast your mind back the
days when you would wander into a shop,
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talked to a shop assistant, have a
human interaction, talk about the
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clothes, what size have you got?
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What you had was this great moment of
humanity.
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Obviously what you had was very little
access.
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You only had access to what was in the
shop.
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You had very little control, because
the storekeeper was the controlling
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entity of that
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experience.
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And that went on for obscure,
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hundreds of years.
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Internet came along, digitization,
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and we have experience 2 point o.
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Suddenly our store experience goes
online.
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What we get is an incredible amount of
control,
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because we can command the machine to
do what we want it to do.
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We get incredible access,
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because all the product is available to
us, can be sourced from wherever and
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deliver to us.
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But we have very, very little humanity.
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And if anyone has been building digital
experiences for the last
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fifteen or so years, and we have
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that humanity has been something we've
been trying to put into these
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experiences with, I would say, varying
degrees of success,
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where we get to 3 point o, which is
very exciting.
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As you maintain the control, you
maintain the access.
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And what we're able to bring back is
the humanity.
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Through generative AI,
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you can have a human like interaction,
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conversational,
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predictive
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thinking centiard
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that allows you to grow a relationship
within that digital moment.
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And that is net new, and that is very
exciting.
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So let's think about
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what that might mean for a brown like
Nike.
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Hey, Nick what's up.
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Hey, twist
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on the plane over here.
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I watched
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00:10:15,782 --> 00:10:16,416
the last dance.
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00:10:16,516 --> 00:10:18,84
I really want to get hold of a pair of
dunks.
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00:10:19,219 --> 00:10:19,619
All right?
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00:10:19,719 --> 00:10:20,153
Got it?
227
00:10:21,54 --> 00:10:23,456
The red and black Jordan threes from
episode four?
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00:10:23,690 --> 00:10:24,190
No, no, no.
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What I want if the white and red ones,
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the Og jordans from the first episode?
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Yes, that's right.
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That's what's.
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I want you.
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Gunham,
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I've dropped your size into the bag.
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00:10:44,744 --> 00:10:47,80
You're staying at the Atlantis of the
palm, and do by?
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00:10:47,881 --> 00:10:48,48
Yes.
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00:10:48,281 --> 00:10:48,648
Of course.
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00:10:50,183 --> 00:10:51,951
Should I ship them to you there or back
home?
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00:10:52,252 --> 00:10:52,919
And you know what?
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00:10:52,919 --> 00:10:55,989
I'm going to take a flight back quite
soon, so i'll get sent to my home in partnepiece.
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All right.
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Done.
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00:11:02,28 --> 00:11:04,164
By the way, I noticed you haven't
watched air yet.
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00:11:05,231 --> 00:11:08,168
Now I haven't, but I will try to check
it out on the flight back.
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00:11:09,703 --> 00:11:12,806
Six of your favorite sneakers feature
in the film and are being re released.
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00:11:13,239 --> 00:11:14,574
Want me to reserve anything?
248
00:11:15,75 --> 00:11:15,241
Yes.
249
00:11:15,542 --> 00:11:17,377
But right now, in the middle of a talk,
you do by.
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00:11:17,477 --> 00:11:18,712
So can we come back to that?
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00:11:19,879 --> 00:11:20,847
Let's get on with it.
252
00:11:20,980 --> 00:11:22,248
Swoosh, over and out.
253
00:11:22,816 --> 00:11:22,982
Ok.
254
00:11:23,316 --> 00:11:23,717
Thank you.
255
00:11:23,783 --> 00:11:24,150
Swoosh.
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00:11:24,984 --> 00:11:27,854
So what you see is a completely
different experience you're having
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with your
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digital brand, one that feels human
it's learning, it's knowing.
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The humanity has come back to the
experience.
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It is completely different to where
we've been.
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So I think it's a very, very exciting
future.
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Now, let me part the beck and tell you
a little bit how that Microsoft come together.
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Thanks.
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Nick.
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All right,
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now we go, how to Embrace that change
that we just talked to you through?
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I think first of all, we should step
back.
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If we think about AI.
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It has really been quite relevant over
decades for marketers and then figuring
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out how to integrate it into their
business.
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A lot of that referred to today as
machine learning
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and taking the form of driving
segmentation
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targeting or product offers.
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But fast forward to what we've talked
about today, and showing you a glimpse
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of when we think about generative AI.
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It is really taking a topsy of the
table and for marketers to think about
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how they integrate this into their
operations.
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It truly significs a revolutionary
force.
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I think we will look back in years to
come, at this moment of what we're
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seeing happening with generative AI.
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And it kind of likened it to when the
internet came online.
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Truly it is disruptive and going to be
changing industries.
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00:12:53,139 --> 00:12:57,477
And more importantly, for the people
here today, I think you're working with
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00:12:57,544 --> 00:12:59,512
marketers, or you work at a brand,
285
00:12:59,779 --> 00:13:03,616
it is going to allow you to deliver on
things that before you simply haven't
286
00:13:03,850 --> 00:13:04,651
been able to,
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00:13:04,984 --> 00:13:07,53
the scale, the precision
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00:13:07,554 --> 00:13:10,390
and the human touch, all done by
machine.
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So it is truly an exciting time.
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We talked about this idea of going from
attention to personalization to
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intimacy.
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00:13:20,33 --> 00:13:22,35
And we've really been on this journey
as marketers.
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00:13:23,236 --> 00:13:27,374
When you think about attention forever
in a day, it's been about pulling out a
294
00:13:27,374 --> 00:13:28,441
mass message to audience.
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00:13:28,808 --> 00:13:31,644
What we want to tell an audience to
think about our brand.
296
00:13:31,878 --> 00:13:32,479
Or our product,
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00:13:33,380 --> 00:13:34,681
and that's worked for a long time.
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00:13:34,748 --> 00:13:35,849
Then it was the race around
personalization,
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00:13:37,150 --> 00:13:39,786
right message, right channel at the
right time.
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00:13:40,353 --> 00:13:43,390
And to some extent, I think there's
been a good effort in
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00:13:44,758 --> 00:13:45,458
achieving that.
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00:13:45,959 --> 00:13:47,827
However, even when achieving that
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00:13:48,28 --> 00:13:52,165
to get down to really micro
personalization has often come at a cost,
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00:13:53,66 --> 00:13:56,569
or the effort, not worth to squeeze in
terms of the upside because of the prohibitive
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00:13:57,704 --> 00:14:00,140
side of the technology or
implementation.
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00:14:00,573 --> 00:14:01,641
And so we end up with personalization
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00:14:02,676 --> 00:14:03,243
still in clusters.
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00:14:03,877 --> 00:14:06,513
Could be demographics, could be by
location, or
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00:14:07,714 --> 00:14:09,82
products we think you may like.
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00:14:09,549 --> 00:14:13,453
But when we talk about intimacy, when
we look at the example that Nick just
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00:14:13,453 --> 00:14:16,956
showed us for Nike, it is truly one to
one.
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You are having a one to one personal
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conversation.
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You are getting to know the brand, and
the brand is equally having to respond.
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00:14:25,231 --> 00:14:26,733
So it's really, really powerful.
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00:14:27,400 --> 00:14:27,934
So there's this
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00:14:29,69 --> 00:14:29,602
shift?
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00:14:29,936 --> 00:14:34,107
It's this shift from what you think I
need where, again, forever in a day,
319
00:14:34,174 --> 00:14:37,711
it's been about trying to guess what's
the nest back's product, or what's the
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00:14:37,711 --> 00:14:42,549
nest bext offer that we're trying to
put in front of people, to a complete flip.
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00:14:43,450 --> 00:14:47,854
And that flip is really about putting
the control in the hands of the
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00:14:47,854 --> 00:14:50,190
consumer, and it's about what I want.
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00:14:50,590 --> 00:14:54,227
So let's go from what you think I need
to what I want.
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00:14:54,594 --> 00:14:58,64
So on my terms, I want the brand on
demand.
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00:14:58,832 --> 00:15:03,69
I want to be able to prompt it, to be
able to give me answers, or give me
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00:15:03,69 --> 00:15:06,673
selection of product, or provide me a
service on my terms.
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00:15:07,240 --> 00:15:10,76
And brands are going to need to be able
to respond to that.
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00:15:11,44 --> 00:15:11,511
So
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00:15:12,278 --> 00:15:15,882
there is truly a competitive advantage
in the market to be gained.
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00:15:16,349 --> 00:15:18,818
If we talk about this region, a recent
pwc
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00:15:20,20 --> 00:15:20,653
report
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00:15:21,54 --> 00:15:25,759
showed that 81 percent of businesses
have sided that there is a readiness
333
00:15:26,259 --> 00:15:28,194
to implement generative in their
business.
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00:15:28,828 --> 00:15:33,166
53 percent are aggressively
implementing it into their business.
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00:15:33,400 --> 00:15:34,868
And we truly believe
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00:15:35,68 --> 00:15:37,637
that those that will do it will gain a
competitive advantage.
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00:15:38,738 --> 00:15:42,575
We know, if you look at average starts
around, if you're delivering personalization,
338
00:15:43,877 --> 00:15:47,847
that there is a direct return, an
upside, in terms of the wallet.
339
00:15:49,49 --> 00:15:51,184
The last thing is consumers.
340
00:15:51,718 --> 00:15:55,689
If you think about the generation of
consumers that we're serving coming up,
341
00:15:55,689 --> 00:15:56,256
who are our customers,
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00:15:57,390 --> 00:15:58,758
they expect this.
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00:15:59,159 --> 00:16:01,628
They are being able to generate images,
even videos.
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00:16:01,928 --> 00:16:04,97
In fact, in seconds like we just saw.
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00:16:04,731 --> 00:16:07,667
Why shouldn't the experience that I have
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00:16:07,934 --> 00:16:11,538
as a consumer in my personal life, be
able to transfer
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00:16:13,73 --> 00:16:14,607
into what I expect from a brand.
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00:16:14,741 --> 00:16:16,810
So there's just a customer expectation.
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00:16:17,610 --> 00:16:20,513
So if we all believe, and we truly
believe, that there's a competitive
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00:16:20,914 --> 00:16:22,682
advantage to be had here.
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00:16:23,149 --> 00:16:26,686
The other thing then is let's assume
that the technology is going to get
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00:16:26,753 --> 00:16:26,920
better.
353
00:16:27,387 --> 00:16:31,57
Nick walked us through in 48 months
what's happened, which is truly
354
00:16:31,224 --> 00:16:31,391
remarkable.
355
00:16:31,858 --> 00:16:36,663
And I truly believe that the technology
will continue to enhance and get
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00:16:36,730 --> 00:16:40,967
better, and that it will be implemented
into many, many businesses.
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00:16:41,601 --> 00:16:42,68
So
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00:16:42,502 --> 00:16:43,536
where does that leave us?
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00:16:44,170 --> 00:16:46,873
It means that the importance of the
brand
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00:16:47,374 --> 00:16:51,878
is something where we really can
influence how you have a
361
00:16:51,878 --> 00:16:53,913
distinctiveness in the market.
362
00:16:54,180 --> 00:16:56,149
So let's talk about that a little bit
more.
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00:16:56,750 --> 00:16:57,717
So we posed this question,
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00:16:58,918 --> 00:17:00,487
is your brand
365
00:17:00,920 --> 00:17:02,655
defined enough to be promptable?
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00:17:03,56 --> 00:17:03,723
I read again.
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00:17:03,957 --> 00:17:07,527
Is your brand defined enough to be
promptable?
368
00:17:08,428 --> 00:17:13,800
If you were to ingest all your brand's
data, everything about it, into
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00:17:14,34 --> 00:17:16,636
machine, when it spits it out the other
end,
370
00:17:17,303 --> 00:17:18,338
what would it feel like?
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00:17:18,672 --> 00:17:19,806
What would it sound like?
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00:17:20,173 --> 00:17:22,409
What would the experience be like?
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00:17:22,809 --> 00:17:28,281
This is the conversation where I think
if we can nail the brand and have that distinctiveness,
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00:17:29,549 --> 00:17:31,851
we will be able to stand out in the
market.
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00:17:35,188 --> 00:17:35,689
So
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00:17:36,89 --> 00:17:40,93
in a sea of same, if we make an
assumption that people will all use the
377
00:17:40,93 --> 00:17:44,130
technology, and to an extent, there
will be a certain level of commoditization,
378
00:17:45,231 --> 00:17:47,701
like there is with many products and
services today.
379
00:17:48,201 --> 00:17:51,705
But the thing that stands out, the
thing that you get your affinity, is
380
00:17:51,771 --> 00:17:52,205
the brand.
381
00:17:52,672 --> 00:17:56,509
So how do you deliver that and
translate that into experiences?
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00:17:57,777 --> 00:18:00,780
The good news, probably, for many
people here,
383
00:18:01,715 --> 00:18:06,553
the traditional things that we've
obsessed about as marketers are still true.
384
00:18:07,53 --> 00:18:09,155
Brand positioning, voice signifiers,
385
00:18:10,190 --> 00:18:11,157
behaviors, sonic.
386
00:18:11,791 --> 00:18:14,427
All of these things become incredibly
important,
387
00:18:15,462 --> 00:18:20,433
incredibly important to be laser sharp
on, so that when you do ingest your
388
00:18:21,67 --> 00:18:25,772
data and when you do train the machine,
you're able to stand out.
389
00:18:27,307 --> 00:18:30,410
So let's have a look at one other
example that I love.
390
00:18:31,378 --> 00:18:33,246
I'm sure you're all familiar with this
brand.
391
00:18:33,880 --> 00:18:36,750
We probably could put the colors up and
write Backs, and we'd know it's.
392
00:18:37,851 --> 00:18:38,885
it's so iconic.
393
00:18:39,719 --> 00:18:42,255
I think it's really interesting to take
a slice of Google
394
00:18:43,289 --> 00:18:46,893
and look at what they're starting to do
beyond the logo.
395
00:18:49,629 --> 00:18:52,599
You can see here a number of
explorations.
396
00:18:53,400 --> 00:18:57,70
And if you think about this, you can
think about maybe how some of these
397
00:18:57,70 --> 00:18:59,539
signifiers will start to show up in an
experience,
398
00:19:00,573 --> 00:19:03,610
and one that then makes sure that it is
truly identifiable
399
00:19:04,678 --> 00:19:06,413
and distinguished in market.
400
00:19:09,449 --> 00:19:09,916
So
401
00:19:11,618 --> 00:19:14,387
we move from this idea of a brand book
402
00:19:15,155 --> 00:19:16,956
to a brand operating system.
403
00:19:17,691 --> 00:19:19,459
So let's just talk about that a little
more.
404
00:19:19,959 --> 00:19:21,428
When we think about a brand book,
405
00:19:22,28 --> 00:19:26,499
we forever and a day, have obsessed
over creating brand guidelines, or
406
00:19:26,599 --> 00:19:29,135
books, however they may appear.
407
00:19:29,936 --> 00:19:33,406
And these things are really, I think,
going to shift from becoming these
408
00:19:33,473 --> 00:19:36,943
static things to a much more living and
breathing organism.
409
00:19:37,377 --> 00:19:41,948
If you think about even our jobs, some
jobs have been purely to police the
410
00:19:42,15 --> 00:19:42,182
brand.
411
00:19:42,816 --> 00:19:46,720
So I challenge, instead of policing the
brand, you'll be training the brand.
412
00:19:47,320 --> 00:19:48,121
On top of that.
413
00:19:48,355 --> 00:19:52,425
If you think about personalization and
how we've driven content, we've often
414
00:19:52,592 --> 00:19:54,661
had to create content and pre approve.
415
00:19:54,894 --> 00:19:55,362
It
416
00:19:55,695 --> 00:19:57,263
will be in a world where
417
00:19:57,931 --> 00:20:02,35
content will be created, but the
machine will help, and approval will
418
00:20:02,35 --> 00:20:02,902
happen on the fly.
419
00:20:03,470 --> 00:20:07,707
So how do you think about this thing
being a living and breathing organism
420
00:20:08,174 --> 00:20:08,808
for your brand?
421
00:20:11,378 --> 00:20:13,613
So to bring this all together,
422
00:20:14,681 --> 00:20:17,784
if we think about consumers, and we
think about those consumers
423
00:20:18,818 --> 00:20:21,121
interfacing with your brand in a
different way,
424
00:20:21,454 --> 00:20:24,324
there are some building blocks which
are credibly important.
425
00:20:24,758 --> 00:20:27,360
The first building block is the brand
os.
426
00:20:28,995 --> 00:20:32,432
And at the very bottom it's the things
we've talked about, the voice, the
427
00:20:32,499 --> 00:20:34,267
text, image, behavior, sonic.
428
00:20:34,901 --> 00:20:36,102
How are these things absolutely
429
00:20:37,137 --> 00:20:39,205
distinguished to your brand?
430
00:20:40,106 --> 00:20:44,110
And then obviously all of the kind of
other factors that make up your
431
00:20:44,177 --> 00:20:46,880
business, content, product services,
etc.
432
00:20:48,915 --> 00:20:53,219
The other layer then is to think about
signals, first party, third party data,
433
00:20:54,654 --> 00:20:57,590
explicit or implicit, cultural or
contextual.
434
00:20:58,425 --> 00:21:03,163
And I think the magic, so to speak, is
when all of that comes together to form
435
00:21:03,530 --> 00:21:04,30
your brand.
436
00:21:04,330 --> 00:21:04,964
AI.
437
00:21:05,532 --> 00:21:08,635
So you've got all of these building
blocks and these
438
00:21:09,469 --> 00:21:10,103
parts of the ecosystem
439
00:21:11,137 --> 00:21:12,38
building your brand.
440
00:21:12,172 --> 00:21:12,339
AI.
441
00:21:12,906 --> 00:21:16,643
That then is what serves the consumer
at the cold face.
442
00:21:17,944 --> 00:21:22,816
And if done well, and really you've got
distinguished elements, it should do
443
00:21:22,916 --> 00:21:25,618
that in a way that makes your brand
stand out.
444
00:21:25,852 --> 00:21:29,856
So if I interfaced with Ada or pumor,
i'll have a better experience with
445
00:21:29,856 --> 00:21:34,27
Nike, because they maybe have a better
defined brand, and they will have more
446
00:21:34,94 --> 00:21:37,297
experiences that they've put together,
and they've got a distinguished way of
447
00:21:37,297 --> 00:21:39,32
how to do it and come to the market.
448
00:21:43,703 --> 00:21:47,941
So to bring everything together, we
started this talk today, and we talked
449
00:21:48,41 --> 00:21:52,912
about this provocation of moving away
from attention and to really driving
450
00:21:53,313 --> 00:21:55,48
intimacy for a brand.
451
00:21:55,548 --> 00:21:59,886
And when we think about that, the first
thing is an acknowledgment, that 3
452
00:21:59,953 --> 00:22:05,125
point o experiences and the way that
you can deliver in the interface is shifting.
453
00:22:05,959 --> 00:22:07,627
The second thing is promptable brands.
454
00:22:08,661 --> 00:22:10,363
How are you training your brand?
455
00:22:10,897 --> 00:22:15,201
How is your brand not static, but
living and breathing organism?
456
00:22:15,935 --> 00:22:17,904
And then customer expectations.
457
00:22:18,571 --> 00:22:21,875
Everything we do is always in service
of the customer expectations.
458
00:22:22,909 --> 00:22:27,380
So understanding those expectations is
incredibly important, to make sure that
459
00:22:27,380 --> 00:22:27,614
you're developing
460
00:22:28,748 --> 00:22:29,616
experiences
461
00:22:29,783 --> 00:22:30,884
that stand out.
462
00:22:31,384 --> 00:22:36,122
So all in all, we really truly believe
that we can move away from building
463
00:22:36,423 --> 00:22:40,760
brands in a mass way, to a more
intimate one to one way.
464
00:22:40,894 --> 00:22:43,63
And hopefully we've shown you a little
bit about that.
465
00:22:43,129 --> 00:22:43,530
Today
466
00:22:44,30 --> 00:22:45,298
that's all Nick and I have.
467
00:22:45,298 --> 00:22:46,399
And thank you for listening.
38025
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