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AI is cutting the innovation cycle,
from idea to market.

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If you think about the world today,

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there's breakthroughs
coming almost every day

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in the sense of AI or agents or data.

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So we have to think differently
about how we rewire systems.

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One of the first steps is to break
the boundaries of data.

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We're no longer in the world where data
is locked in an application or a database.

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AI thrives when we combine that data
and find new ways to solve a problem.

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We have to think outside
the organisational boundaries.

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The light bulb moment
is that the marketing team,

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and the digital commerce team,
and the supply chain team

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all have to solve the same
problem with the same AI.

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Reusable assets,
especially around data

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and especially around
agentic architectures,

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is where the unlock
comes in for an organisation.

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So our findings show us that
companies that get the data right

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are 2.4 times as likely to create
reusable AI assets around that data.

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Rethinking our approach to data

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means thinking about it
from the lens of an AI agent.

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How do we support that agent
to make better decisions faster?

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How do we protect data
that sets us apart from our competitors?

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What do we feed
into the model to train it?

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And what do we hold back to just use it?

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So that tacit knowledge
is what we're after.

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It's knowledge that exists across
an organisation that a human wouldn't see.

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Humans should still make judgements.

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Humans should still
be in charge of the strategy

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and where we go as a business.

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But AI is going to unlock,
with the right data,

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knowledge across an organisation

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that just is not apparent to us
the way we work today.

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To win in this world of AI,

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you've got to get something right.

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And it's that data foundation
that sets you apart:

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the connection of data across systems,
the encapsulation of those data products,

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and the reusable AI assets
to make you differentiated in the market.