Now let's please welcome Asmita
Dubey, who has over 25 years of experience in consumer
businesses and who currently serves as Chief Digital and
Marketing Officer at L'Oréal. She leads the company's
digital transformation, focusing on evolving marketing
models, adopting data-driven solutions, and accelerating
emerging business models. In today's session, she
will discuss how L'Oréal is embracing generative
AI as an opportunity to unleash human potential for creativity. Thank you very much. Hello. That's good. Hi everyone, good morning. I'm so happy and so glad to be
part of this NVIDIA GTC conference today to share with you our
journey on how we are augmenting marketing through generative AI. Now, beauty is an essential human
need, and we at L'Oréal Groupe, we are global leaders in beauty. We are a 115-year-old company, and
our sense of purpose is to create the beauty that moves the world. To start with, I'd like to
introduce L 'Oréal Groupe to you with a short video. Please have a look. Thank you very much. We have a unique business
model, you know, with six pillars and keys to our success. To start with, research and
innovation as a focus, the power of our 37 global brands,
digital and tech leadership. We are championing beauty tech to
build a new kind of relationship with our consumers, one that is
based on technology, data, and AI. And with that, we are
delivering beauty for each, powered by beauty tech. And I'm going to
speak a bit on that. Then, our
manufacturing capabilities. Our virtuous circle, where
we invest in A &P advertising and promotion to drive
consumer engagement. And our unique culture and values. It is in our DNA to innovate. We love to seize what is starting. And we are continuously reinventing
beauty experiences in the physical, digital, and virtual worlds
to shape the future of beauty. We have three innovation pillars. Science,
technology, and creativity. Today, with Generative AI, we are
at a new frontier of technology. And Stéphane was talking
to you just before. Today, we are at a point where
creativity and technology are coming closer together
like never before. At L'ORÉAL GROUPE, you know,
we are also building our group's approach with this
technology, Generative AI. Therefore, we have created and
built a Generative AI task force. And the role of the task force is
to create a responsible framework. To build our guardrails,
our do's and don'ts as we use the technology. To define potential
and frame use cases. To upskill our organization. And to build a community that
anticipates and creates a larger impact of the technology
on the broader organization. To lead this task force,
we have a very capable executive, Isabelle Gouani. And Isabelle is in this
room with us today. You know, the reason I mention,
thank you, Isabelle. Thank you, everybody. And Isabelle has a unique role
because Isabelle is working closely with human resources,
with R &I, with technology, with digital, and with marketing. Because we are convinced that the
impact that the technology will have is multifunctional and touches
all parts of the organization. On my side, I'm going to
pivot to marketing. You know, beauty marketing
has been getting augmented. It has been getting
augmented by purpose. Inclusive and
sustainable by design. It has been getting augmented by
multi-sensorial experiences in the physical, digital, and virtual
worlds over the last few years. Beauty marketing is also
getting augmented by data use across business levers. And now, beauty marketing is
getting augmented by generative AI. Augmented marketing is the
future of marketing. And what we are doing is we are
exploring augmented marketing with the generative AI technology across
different parts of marketing. Across content creation. And this is going to be my
focus today over the next 20 to 30 minutes. On services. So we are bringing a new
generation of beauty services, both offline and online,
to our beauty consumers. Consumer care. Consumer care
is going through rapid changes. What is happening is we are able
to now augment our care agents with very good intent detection
and the right information. And that is driving
consumer satisfaction. We are piloting a lot here with our
partners like Salesforce who are already working on consumer care. And then on search, there
is a new search experience that is taking shape. And beauty searches are getting
a makeover as well. Now, when it comes to augmenting
creativity, we decided to build a generative AI beauty content lab. And we call it CreaTech. Because, as NVIDIA talks about it,
technology is sparking creativity. And it is sparking creativity
amongst copywriters. Again, Stefan was speaking
about it just before. It is sparking creativity
amongst 3D artists. It is sparking creativity
amongst all of our marketers. And therefore, we are
trying to shape the future of beauty with CreAI-tech. CreAI-tech. is our safe space
for experimentation. At CreAI-tech., what we do is build
guardrails for content creation. Build our do's and
don'ts, our principles. We are also bringing together
an ecosystem of partners, both technology and creative
partners, for our content creators. And then we are
assessing service models. We are assessing how should
we augment creativity so that there is adoption at scale. Now, I shared with you that
beauty is a human need. Now, it is deeply personal. Beauty is about self-identity
and self-expression. It is something that
gives us confidence. It makes us feel
good about ourselves. At the same time, beyond being
a very personal need, beauty is also deeply social. We can show where we belong with
the choices we make on beauty. On which cultures and
subcultures we are part of. At the same time, we can disrupt
them by choosing something else. We can choose a counterculture. So, beauty represents all of that. And therefore, at L'Oreal
Group, we have decided that we will not use AI-generated
face, skin, body, or hair to enhance our beauty products in our
external representation of beauty. Yes, we will use AI-generated
face, hair, skin, and body when it comes to inspiration
on new codes of beauty. When it comes to imagination,
you know, sparking imagination. When it comes to
internal storyboarding. But we will not use it to
enhance our product benefit for external representation of beauty. Now, over the last six months,
you know, we have been working together with a lot of partners. We have been working with
NVIDIA, with WPP Open, and several large language models. And we have created more than
800 beauty images. You know, these images have been
created with dozens and dozens of workshops with our brands. They have been created. We have used about 20
different Gen AI tech. And we are exploring. We are learning from all of this. What I'm going to do is
start sharing with you some of these beauty images. And then share our
journey along the way. Now, we are assessing and
envisioning new codes of beauty with the generative AI technology. What you see on the screen here
is a connected mirror experience. Now, to create this connected
mirror experience, I'm going to prompt, okay? I'm going to try to ask you what
are some of the prompts that were made to come to this image. The prompts were a futuristic
bathroom, a connected mirror, an AI interface, some data
labels, and data sets. And then you get
an image like that. I'm going to move
to the next image. This beauty image is a
beauty tech image. The prompts that go with
this beauty tech image, you can start to think. Skin care. A grid pattern. LED lights. And fashionable beauty. Here's another one. The image here is the vision
of a futuristic salon. So, the prompts that we gave
to come to this futuristic salon were, well, I'm going
to let you think about it for a second and then share with you. First of all, it was a retro
futuristic design of a salon. A holographic display. Some smart screens and robotic
hands who are going to help around in the future of salon
that is going to be there. So, here we are sparking
imagination, understanding new codes of beauty. Here is another image. And this image is the vision
of an AI spokesperson in the red nebula in the space. You know, as you can see
from the output here. Once again, we are looking
at a beauty tech image and a beauty tech image that is offering
services and dermatological care. And the prompt here is
skin diagnosis, facial recognition, image analysis. I'm going to take one more in
terms of new codes of beauty. This one is about creating
accessible beauty during mobility. It is about virtual try-ons
and instant makeup rendering. And the prompts that were
given here were digital makeup, you know, autonomous vehicles. And one more, we just put
in the word year 2050. So, with year 2050, we could start
imagining what is going to happen. So, these are some of the
new codes of beauty images. Then, what we are also doing
is we are creating hundreds of product shots. You know, product shots
across our brands. And I shared with you, the
video said that one of the reasons of our success is
our focus on brand building. And we have the power of 37
global brands with us. So, here is our brand Kerastase. And the prompts for the background
were an elegant Parisian sunset with the background of an Eiffel
Tower, cinematic lighting, and of course, our brand in all of that. If I start taking you through
some of the other product shots, and Stefan spoke a lot about
brand data sets, our brand Lancôme, this is about rethinking brand
Lancôme's symbolic rose agora. So, the prompts we gave here
was soft LED lighting, pink blush, the rose, you know. And it starts to shape some
soft shadows as well, I think was one of the prompts here. I'm going to show you
another product shot. Here is the product shot. It is in a Mother's Day universe
for our brand Biotherm. So, what is the universe of
our brand Biotherm? The prompts here were ocean
blue tones, because Biotherm has that ocean blue tone within it. The other point, the other
prompt was reflective water, reflective ocean. There was a prompt on beauty
with skincare, because Biotherm is a deeply skincare brand,
you know, amongst other things. And a sculpted ribbon. So, what we see is this output
on the screen here. I'm going to take a couple
of more examples and then share with you what we're
learning from all of them. Now, this is a kind of a vision
of creating a gift through our very luxurious brand Yves
Saint Laurent Beauty. And the prompts that we gave here
were an abstract golden structure. So, there was gold in there,
metallic silver and beige tones, clean lines, and a very
elegant and luxurious atmosphere. So, the result kind of
delivers to that prompt. Here is another one,
our brand CeraVe. It's a skincare brand. And it's a brand which is quite
simply fresh, pure, clear. So, the prompts that we started
giving while generating this product shot was shades of grey
that highlight freshness, pureness, clarity, and has a soft lighting. And the result comes out to
be something like that. I'll take one or two more examples. This is a very interesting one. Here we see an active
ingredient called Melasil in our dermatological
product, the brand La Roche-Posay. So, a prompt for something
like this was purple and blue colors, purple and blue lighting. A kind of abstract liquid
formation and then a black background to show it all. Not only that, when we say
how to show ingredients, we don't just show ingredients. We can see this mixing of an
active ingredient, a molecule, and our product universe in
this shot, which is about L'Oreal Professional Hair Serum. So, the prompts for this one was
metallic liquid sphere, dark brown colors, gold and silver, and a very
elegant and luxurious atmosphere. And another one. The reason I share all of these
images with you is because we learn through them. We have learned that, yes, we
are using these 20 different generative AI tech with their
pros and cons, but at the same time, what it requires
is strong creative direction. It needs prompts that have
imagination and that have very strong brand cues for
the images to start becoming relevant for us and for us
to use it to augment marketing. We are also learning with
the work that we are doing that we can definitely scale
product shot and background production with the technology
that is here with us today. And you see a bit of that
symbolism of how we are thinking of scaling it. We also started to experiment and
learn on image to video generation. So, these same product shots
can be a bit more visual and with video alongside it. Sometimes we also experimented
with translation and voice there. And moreover, what we did
over the last six months was we worked with NVIDIA Omniverse
and WPP Open and started creating custom 3D models for our products. And this provides a massive
advantage because once you have a product shot from all
the different angles, then we can start changing the backgrounds
and all of this means that we are saving days of shooting and
so much time and resources overall. Now, I spoke to you that beauty
is an essential human need. We We also spoke about the fact
that beauty is deeply personal but also deeply social and
that is why we have taken this philosophy of no AI generated
images, no lifelike images to enhance our product benefit. At the same time, beauty is about
self-identity and self-expression. And the Gen Z consumers that we
have, they are very comfortable with elevated self-expression
for themselves or for their avatars in the gaming world. So what we are doing is
creating hair looks. Our brand L'Oreal Professional
is co-creating hair styles and hair looks for the gaming
and virtual worlds. And here, the use of Gen AI
is at an early stage. At the same time, we see that
the Gen AI tools, they help us in adapting master 3D hair
looks from a platform like Ready Player Me to another
platform like Roblox or Zepeto. And therefore, we can start
envisioning how we would scale this across different platforms
and across makeup and hair and compelling images out there. There's also a rising creator
economy all around us. At L'Oreal Group, we partner
with more than 50,000 influencers and creators. And we are preparing ourselves
for this next generation of creator economy. Therefore, we started partnering
with this new generation of cre-ai-tech artists. Artists and creators who are
redefining beauty images and beauty experiences with AR, VR,
spatial computing, AI, 3D tools. And you see some very,
very successful imaging and videos that are there. We are doing these partnerships and
we are forming these partnerships across platforms. Across Meta, TikTok, Snapchat,
and also across geographies. Because this includes some of the
images and 3D creation that we are doing in a market like China. We are convinced that creativity
and technology are coming closer together like never before. We believe that technology can push
the boundaries of what is possible. And we are able to improve
our consumers' lives with it. We are able to cater to the
infinite diversity of beauty needs and aspirations. We call it beauty for each. Beauty for each
powered by beauty tech. And therefore, we are also
empowering our consumers with elevated beauty services. I mentioned it briefly. We know that 70 % of our
consumers are overwhelmed by the amount of beauty
choices that they see around them. And therefore, we are bringing
them beauty services which can help them through this. We just launched L'Oreal
Paris Beauty Genius. L'Oreal Paris Beauty Genius can
act like a personal beauty advisor and it will be in your pocket 24-7. L'Oreal Paris Beauty Genius
is capable of three things. First, personalized diagnosis. Personalized diagnosis of your
skin or virtual try-ons on makeup. And the source for this is
L'Oreal Modiface. It's an AR and AI provider. And we have a lot of skin
diagnosis and virtual try-ons internally because we acquired
Modiface since 2018. And thereon became AR and
VR and AI leaders in beauty. So, we have a lot of personalized
skin diagnosis which we plug onto the L 'Oreal Paris Beauty Genius. Then, what L'Oreal Paris
Beauty Genius does is a personalized recommendation. A personalized recommendation
which today at the starting point is on more than 750 skin
care, makeup and hair care products from our brand L'Oreal Paris. And of course, that is going
to expand over time. What this beauty advisor does
is also personalized education because we are able to curate all
the content from our brand websites and our social media pages and
put it on to this personal advisor. So, all in all, we are able to
get services, a kind of suite of services on beauty, personalized
product recommendations and consumer care all in one. When we launch L'Oreal Paris
Beauty Genius, it's a huge service to our consumers. So, through this journey of
augmented marketing, we have been learning over the last
12 months across the cases we have done on content creation. I just shared with you on services
for L'Oreal Paris Beauty Genius, on consumer care or on search. And our learnings are across, you
know, we are trying to assess. We are trying to assess efficiency. Do we reduce or save
time and resources? On effectiveness, do we
improve time to market? Do we improve volume of production? Do we improve performance and
quality of production overall? Our assessment is also on
are we creating value? Are we increasing consumer
engagement, you know, conversion, consumer
satisfaction or overall ROI? At the same time, we are asking
ourselves a lot of questions. We are asking ourselves
questions on IP rights. We are asking ourselves that
what are the challenges that are ahead for us, ahead of us when
we have to scale the technology for day-to-day use cases. And, therefore, I'm coming back. I'm pivoting back to content
creation and augmented creativity. Here, over the last 12 months, I
will share with you our journey. We started our augmented creativity
journey back in April 2023, so it's almost exactly a year. And at that point, we kind of
made a gen-AI summit, you know, in the L'Oreal group internally, but
with the great support from all our technical and creative partners. From there on, what we saw with WPP
Open as well as NVIDIA Omniverse, we found it very interesting. So, we started initiating a
partnership with them, and that was in June. In July, we built Cre-ai-Tech, our
generative AI beauty content lab. And then we started to test and
learn, and we have these 800 beauty images outputs, some of which
I've just shared with you today. Now, we are thinking about
building on our shared vision, and building on our shared vision
indeed means custom brand models. And on custom brand models,
or on what to do next, I think we are taking kind of three
insights and learnings in three different buckets. The first one on tech readiness,
the second one on tech modularity, and the third one on data value. So, in terms of tech readiness,
and here is a group of experts on the subject, of course,
we also experience that there is an uneven tech readiness. In terms of outputs, but also in
terms of the input capabilities, because they keep emerging
and there are new capabilities coming all the time. In terms of tech modularity,
we feel today that to have a diverse and modular Gen
AI tech stack could be helpful for a large corporate like
ourselves, because there is so much innovation happening in this space
that we'd like to keep it modular. And in terms of data value,
I think we need an effective management of our brand data
sets, of our training data, because once we have effective
management of the brand data sets, we can be more assured in
terms of the quality of the output. We can also be more assured in
terms of compliance that what we are doing is on IP rights for us. So, all in all, if I were to sum
up, and I think what you have seen through this whole Cre-ai-Tech
journey, is we are definitely using a combination of man and
machine to create the beauty that moves the world with generative AI. Technology is sparking creativity
like never before, and at L'Oreal Group, we are just ready. We are ready to embrace
creative augmentation on one side and content automation
on the other side. We are a leading
beauty tech player. We believe that beauty tech
is something that is going to help us to bring beauty to each. And I'm going to finish by
a video so that you discover how we are championing beauty tech. Beauty is an essential human
need, and for more than a century, our sole dedication. At L'Oreal, we have always
seen technology as a driving force to embrace beauty's
infinite diversity. We are entering a new era
where ultra-personalization is the new aspiration, where beauty
for each is powered by beauty tech. Beauty tech is essential to
know consumers intimately. By connecting 115 years of unique
expertise in data, we understand consumers' needs like never before. Beauty tech is essential
to astonish consumers with trailblazing innovations. By combining advanced science
with game-changing technologies, we open new possibilities
for unequaled beauty innovations. Beauty tech is essential to
empower consumers with elevated beauty experiences. By imagining services that
guide, diagnose, predict, treat and coach, we build
lifelong value for consumers. Beauty tech is essential to
augment beauty consumers' journeys. By harnessing the power of
tech, data, AI and generative AI, we create new codes of
beauty and new relationships between our brands and consumers. Beauty for each. Powered by beauty tech. Thank you very much. Right, Azmita, thank
you so much for such an inspirational presentation. Our pleasure. If you don't
mind, let's take a seat. I thought what was absolutely
amazing about what you shared with our audience is the 3D
images of your products that you guys are creating and
being able to use that across marketing and advertising and
in partnership with your ad agency and creative agencies, right? So maybe you can elaborate a
little bit more around that. It's true that we have 37
brands, global brands are 37. And we are an innovation-driven
company, so there is a lot of offers that we give into
the market with our products. So each of our brands have
hundreds of SKUs, which means that both in terms of communication
and advertising, but also in social media and for our
e-commerce activations, we need thousands of images all the time. And we spend a lot of time shooting
those images or reshooting them. What we experimented with
the NVIDIA Omniverse was we took the shot of the product
once from all different angles, and then voila, it was there. We could start changing the
background or we could start putting it in a different
context, which was either more social or more e-commerce
friendly, and it would happen just with one prompt or one type. And that is saving so
much time for us. I mean, we are at a very early
stage, but it's like saving 200 to 300 % time and a bit
of resources and money as well. So it is definitely going to
help us to scale production and meet the needs because
there is so much content production need in marketing today that
we are very excited. We are using a lot of different
products into the Omniverse for the custom 3D models. And actually, Omniverse is,
I don't know how many of you were here at the 8 a.m. session, but there's so many
different ways of using Omniverse and the 3D world, right? We talked this morning at 8 a.m. about digital twins of the store. Yes. And we have customers that are
using it for design collaboration across global design teams. And of course, you guys are
creating this stunning 3D representation, really physically
accurate digital representation of your products and being able
to use it even in the metaverse. Even in the metaverse, yes. Very, very early on, but
it's an area that especially for the younger generation
is a very important part of reaching your consumers. Absolutely. I showed you some of
the gaming visuals. And we are very excited about
creating makeup looks, hair looks for those avatars in
the gaming world because Gen Z is very comfortable using it. And we are creating the visuals
that you saw because our sense of purpose is to create the
beauty that moves the world. Wonderful. So I wanted to open
up if there's any questions for anyone to ask. I mean, I think what you saw,
please come ahead. There's two microphones here. So go ahead. My question is, as a leader
in the beauty industry, right? So will L'Oreal come up with
an ethics standard for AI usage in the industry? Yeah. You're saying, have we come
out with an AI usage standard? Like ethics guidelines. Yeah. So I touched upon it briefly. We have been thinking about
this subject a lot. And therefore, what we said
was that beauty is something that we use on ourselves. And it is something that enhances
us as people, men and women. And that's why with our CEO,
we took the decision that we are not going to use AI
generated lifelike faces or lifelike hair or skin or body
to enhance the product benefits. You won't put an AI image
of a man or a woman and say, look, your skin is so much better. That would mean that you're
enhancing a product benefit on something that is not real. Whereas we would want to
show that, no, your product benefit is on someone. And that someone who is real and
lifelike and you can identify with. So that is the position that we
have taken as a leader in beauty. What we are very excited about
is all the product shots that we showed to you. But we are also interested
towards imagination. To imagine the new codes of
beauty for tomorrow. And one of the examples I
took was the year 2050 and beauty during mobility. What does it mean? So we clearly know that there
is no product usage there. And you are not
enhancing any benefit. But you are simply imagining. Even the imaginary AI spokesperson
in the red nebula. I thought that was very inspiring. Because it's a vision of beauty
that you think about. And you use technology to
spark it, to imagine it. Absolutely. Thanks. Go ahead. She's just watching us. Yes, I have a question on your
product visualization shots that you're doing with generative AI. So are you training your own
generative AI models with the imagery that you're creating
of the product shots? Or are you doing generative AI
backgrounds and then compositing 3D imagery into those? Both. We are doing both. Today, you will see some
of the images when you do the 3D custom model. You have shot the product and you
have all angles of the product. And therefore you can use that
product basis and use a background. Sometimes when we are doing
internal storyboarding, it doesn't matter. We can simply use the product
shot through generative AI. And then most of these images
that I showed would be that there is a background. And there is a product shot
that we have given to the model and trained it. And we are using from there. But we are thinking about
how this would evolve. And one of the ways it could evolve
is through the omniverse, actually. So actually, just to help you
better understand, we have a model called Edify from NVIDIA. That Getty Images has trained
with over 200 million of their licensed images. And so a lot of our customers
are subscribing to that and using Picasso. It's called Picasso. And it's a subscription through
Getty that basically is the background images. So you can basically show a
bottle of perfume and say, show me the bottle of perfume with
the background of the Eiffel Tower, an Italian cafe and all of that. And it can create that in
less than 10 seconds. So it's basically, I think
what Azmita talked about is, some of it is automation and
some of it is enhancing creativity. Yeah, absolutely. And the third thing, and I'm
kind of repeating myself, but the third thing is when
you're using, you have to understand that the marketing
processes today are very complex. So we are constantly, the
marketeers are talking to their managers or they are
talking to the agencies. And there's a lot of back
and forth happening. And that back and forth
and visualization used to take a lot of time. So today when you do storyboarding,
which means it's not an image for external use, but it's
simply an image for internal creative process. There we can absolutely say
use the Revitalift bottle in a rainy weather and put it out there. And once we are doing the final
shot of production, we can design that, you know, with the background
and where is the product shot. But the time and effort
is saved in that internal creative process as well. Thank you so much. I have an online question
and the question goes, how is L 'Oreal ensuring the mitigation
of inherent biases within AI models, particularly in
the creation of diverse and inclusive beauty standards? Yeah. So we have been working on AI
per se, not just generative AI for a few years now. You know, we have created
skin diagnosis, and a lot of devices on beauty. And through all of this,
it is true that we have a responsible AI framework. So I'm starting with that. And that responsible AI framework
has seven principles. And those principles include
things like that we will never ever use an algorithm unless
there is a human oversight on it. We will make sure that whatever
data we are inputting into it, like our skin diagnosis
tool, uses more than 15,000 images from all over the world. So it is trained on a
level of inclusivity and diversity that is there. So we publish it. It is on our website. It's
a very public document, our responsible AI framework. And that's, I mean, we want
to make sure that any steps we take on this is using a
sense of responsible framework towards the whole thing. And which is why also Isabel
Guani is our, you know, kind of lead on generative AI globally. She is also working with a lot of
industry corporate players to come together and say, how should we
start thinking about this subject? And how should we
build this together? You know, so we are just
working with everybody. Hi, thanks. I have a question about the
efficiencies you're realizing and content creation in your
creative department. One product I hadn't heard
mentioned was Adobe. And I'm sure that you use
that quite a bit. I'm curious how efficiencies
have arisen with that. Yeah. So we are working with
20 different Gen AI tech. And we are meeting Adobe
tomorrow for half a day. So I think I have a better
answer with Adobe tomorrow. But we are working with Adobe. I think in terms of
efficiency, again, the journey is a 12-month-old. So before we kind of claim things,
you know, which are true in general for a very large corporate
of 85,000 to 90,000 people, we are in a test and learn phase. We are in a controlled
experimentation phase today. And in that controlled
experimentation phase, we do realize that we are saving time. We are saving almost 200 %
to 300 % time in generating these product images. And then you can assume
that time is money. But we have to think about
service models and scalable models of adoption for our company
overall in the coming six months to say how are we scaling everything. Thank you. Go ahead. So my question is actually
a follow-up to that, which is this controlled experiment
you're running right now with generative AI, you know, what
percentage of your content roughly are you enabling through
AI or generative AI? So I mentioned that in the
CREATEC lab, we have, you know, generated 800-plus images
over the last six months. We have, of course, in our
countries and zones some product detail pages on e-commerce that we
are working on with our partners. So there would be thousands
of images there, let's say. But still the number is today
in a few thousand. Whereas if you look at our
assets, we have hundreds of thousands of assets every
year, you know, because we produce a lot of content. So the percentage is
therefore in a controlled experimentation phase today. And we are very optimistic. Again, it's at the cost of
repeating, I'm saying that we have to think about what
is the model of scaled adoption. And that model of scaled adoption
will need brand data sets, will need tech modularity, will need
technology architecture, and which is why we are here at the NVIDIA
GTC conference, because we want to learn and say what do we do next. So hopefully next three days
and we will know exactly where we are going. Thank you. We'll take
one last question. Thanks for this
inspiring presentation. Mostly you talked about marketing
and content generations. Have you experimented with
AI, Gen AI, and new products? So have you thought about
new chemicals, new packages, that sort of stuff? So again, I'm looking at Isabel,
who is our Head of Generative AI for L 'Oreal Group. And it is true that we are
beginning to think of the subject for research and innovation. AI in general helps in
e-formulation, you know, in understanding different hair types. And it understands it much faster. So there are
different use cases there. One use case is simply to
understand diverse hair types or diverse skin types, which a person,
a human scientist, will take a certain amount of time to do it,
but the AI can do it much faster. And then it helps on e-formulation. And I think our R &I teams are
working on those use cases. I invite you to talk to
Isabel right after. So just to correct, it's not
about the new products, it's about maybe the personalized products. No, it's about new
products as well. Sure, we'll take one last one. I'm curious, with this first
year, and you're controlling the experiment side of it,
what is maybe the biggest surprise, positive, negative,
you might have come across? You know, a lot of us, you
know, of course, L 'Oreal is a strong, creative company. There are very good marketeers. In our company. And what I find fascinating is
how creativity and technology is coming closer together. How we need a new generation
of marketeers who will be as apt in using the left brain
and the right brain. As apt in doing data sets for their
brands versus thinking creatively about what their brand values
and brand proposition should be. So I feel this opens a
great opportunity in kind of training and creating
and having a new generation of marketeers for tomorrow. All right, well, Azmita,
thank you so much. It's been such a wonderful session
and very, very inspirational. So thank you for your
time and I look forward to having further discussions
throughout the conference. Yeah, look forward to
the next three days. Thank you, everybody. Thank you. Transcribed by https://otter.ai
Transcribed by https://otter.ai
