WEBVTT

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- We never thought of this
as a technology initiative,

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but really it's a people
transformation.

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- In our recent AI work survey,

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we found that companies
are reporting the adoption

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of AI has doubled,

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but only half of them are saying

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that they're actually
really capturing the value.

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Now, we've had a front-row seat

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in the journey of Reckitt

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looking to achieve that value from AI.

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Bastien, can you tell
us a little bit about

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that journey to date?

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- Yes, so our belief was that AI

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can reinvent the way we work,

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so really according to work processes.

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And so the journey we've had together here

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was around marketing and
then moving quickly into R&D.

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And so in the past 18
months, we've been deploying

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AI solutions embedded in day-to-day work

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for our teams in marketing and R&D

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for about a few thousand people,

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so it's really something at scale.

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And we actually see very promising

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and great results in the
quality of what we have

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in our innovation process
as well as our teams

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are more effective in their day-to-day

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and in turn spend more
time in actually having

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proper scientific research and R&D

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or in marketing, looking
at making more, better

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decisions every day.

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And so that's what we've been deploying

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at scale in the past 18 months.

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- That's fantastic.

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And you know, we talk a
lot about the 10-20-70.

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That 10% of the effort
is about the algorithms,

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20% about the data and
technology, 70% about the people.

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What's your experience with that, Elaine?

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- Absolutely spot on.

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We started off anyway,

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we never thought of this
as a technology initiative,

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but really it's a people
transformation initiative as well.

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And we've seen that, as Bastien has said,

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people are adopting it

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because they're becoming more efficient,

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they're becoming 70% more
efficient in insights generation,

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they're becoming more effective.

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Innovation ideas are testing
two to three times better,

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and therefore we see up to

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80% adoption rates on
some of these solutions

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that we've built.

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- And so Bastien, how do
you think about all of that

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and actually funding the journey?

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- So it's an enterprise journey.

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And so we don't look at it as tech costs.

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AI is what transforms functions

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and ultimately end-to-end
processes, right?

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And so we started with our growth engine,

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which is marketing and R&D together,

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and now we are moving beyond that as well.

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And so we really consider AI as an enabler

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for transforming the way
we work and function.

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And as such, it is being
governed and tracked

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and monitored from the top

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to across all of the organization

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in a way that is bringing
true business value.

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And so with this comes
the right investment

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in platform, in people, in change,

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and that's how we are deploying
AI as an enterprise journey.

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- So within that as an enterprise journey,

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what's next, Elaine?

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- What's next is we're going
to keep doing what's working

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and we're going to fix the
things that are not working.

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But I think what's
working was the approach

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that we took in terms
of augmenting humans.

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So we are talking about human augmentation

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and how can we help everyone
become much more intelligent

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in terms of the way we work,
connecting the dots as well.

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So like Bastien alluded
to workflows, right?

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But not just within marketing or R&D,

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but actually across the enterprise,

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looking at an end-to-end workflow,

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for example, for innovation.

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So I think that's what's keeping us busy

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at the moment, right?

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That human augmentation

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and the connective system
of it all together.

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- Thank you so much for sharing

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a few of your insights today.

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- Thanks for having us.

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- Thank you.