WEBVTT

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Our industry,

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the knowledge on demand
industry sits at the center of

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the emerging and rising
knowledge economy because we

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are about very, very
quickly connecting knowledge

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from one place to
people seeking that knowledge in

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another place around the
world, across industries, across borders.

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And when you think about
the ability to leverage that huge

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source of knowledge that is
now underutilized because it's

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scattered and locked up in
millions of minds around the world,

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and we bring this together
and make it available to our

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clients within hours of them
asking us specific questions or

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expressing to us whom
they seek to speak with -

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that is accelerating progress.

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Our product and technology
teams are continuously evolving

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our data model and our
client platform to provide experts

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that are ever more targeted
in greater numbers and speed.

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And that's what our
clients increasingly expect from us.

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We have a structured
knowledge graph,

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which sits at the heart
of our data model.

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That's a map of the
world's knowledge,

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which experts know exactly
about which companies and which

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topics. We fuel that with
tens of thousands of human

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validated data points that
we're collecting every day,

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and that's what enables us
to serve our clients instantaneously.

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That essentially helps them
power their own businesses and

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in doing so also helps
the broader economy.

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One of our investment
management clients was in the

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final stage of making an
investment in a consumer facing

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AI chatbot. And unexpectedly

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an open source AI app was
released to the public and our

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client needed to rapidly
reassess the potential risks of

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their investment. They were
working on a very tight

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timeline - they had just
48 hours to make this decision.

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So within minutes, of receiving
that brief from our client,

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we were able to deliver
transcripts of expert calls

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that their peers across
the broader investment community

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had completed in just
a few days prior.

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We were also able to conduct
a broader survey across a

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relevant array of experts to
allow them to validate their

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thesis further. Ultimately,

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a partnership between the
client and AlphaSights in this

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instance allowed our client
to access uncodified knowledge in

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a very rapid timeline and
allowed them to better

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understand the risks of open
source generative AI on the

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potential investment that
they were considering.

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If you think
about the automotive industry,

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the biggest trend is the
electrification of automobiles,

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and every automaker is thinking
about how they can successfully

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enter that space.

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There's so much information out
there about the EV market and

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data that you can kind of look
up and and rely on to try to

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help make decisions.

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But if you put yourself in
the shoes of one of our clients,

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a traditional luxury automaker,

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they have very specific
questions that they need to

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answer for themselves.

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How do we project manage
such a huge transformation across our

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company? How do we
prioritize innovation?

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What peripheral roles should we be
hiring for that are going to

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help us hit challenges head
on and move fast through them.

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There are engineers,

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scientists, lawyers,

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executives who have built
some of the most successful EV

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operations and plants in the
world and being able to connect

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those people to our client in
a really short amount of time

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allows them to really
capitalize on the opportunity

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they have in front of by
learning from how these folks

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have done it in the past.

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It's a very inspiring mission we
believe we're on which is to

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make this knowledge that is
locked up in people's minds,

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make that available and
leverage it to drive progress

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and innovation, and

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ultimately create a path
towards a better future.