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Dana, talk to me about
enterprise reinvention

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in 2025 and what are customers pushing
for beyond transformation.

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I think that as I look at the word,
and we call enterprise transformation,

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over the last several years with the
advent of cloud,

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so much of our customers have really been
in this pursuit to really adopt cloud

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technologies largely.

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So they were moving towards a modality
that was cost efficient and most of the

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business cases were
oriented around savings.

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And we heard a lot about at those times

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things like, you know,
containerization and modernization and,

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and things such as, you know,
really trying to, you know,

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manage your security operations and,
and so much it was infrastructural in

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nature. Great and necessary work.

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However, when we look at 2025,
what's interesting, at least for me,

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is that the promise of AI and the
transformation that we can start to do

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now is just so much beyond cost savings.

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The technologies that we see,
particularly, you know,

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in and around the Google ecosystem with,
you know, being still leader in AI,

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we're now talking about use cases that
are not just about cost saving,

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certainly that's that.

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But we're now talking about capabilities
where our business leaders are aiming to

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try and drive new revenue and try and
drive new customer engagement,

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trying to lower churn.

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And, and it's just
fascinating to be in an

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environment now where it's not the
plumbing so much anymore and it's

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actually now demanding that we get really
in tune with business use cases and then

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we optimize them and then aggressively
create new capabilities which actually

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help the top line.

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So I think my customers,
our customers really want to be engaging

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in conversations oriented around that now.

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And I think that's a wonderful departure
for where we've been over the last half decade.

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When it comes to GenAI,
what's getting harder and what's actually

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working at scale?

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That's a, that's a good question.

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I wish anybody knew the answer of that
completely, right?

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I think that for GenAI,
so much of it has been technology getting

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to the point where it's ready.

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And I think we all generally have the
consensus that the technology is largely

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now ready for prime time.

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The, the only issue that
I think we have in

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the enterprise and in society is largely
that I don't know if people are.

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And it's, it's, we've seen this before.

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We've seen this at, you know,
various swings and, and,

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and chevron and checkpoints in society
where sometimes the technology has been a

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little bit ahead of where
we are as humans.

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That's why, you know,
as we saw AI really come to light in the

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consumer space and it,
it's nice to see sometimes the consumer

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seeing it before sometimes our
enterprises are seeing it.

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Now we're at this point where, you know,
finally our sponsors and stakeholders

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within enterprises are now saying,
I've seen that our people are now

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starting to get ready.

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And I've always said this,
I've been saying it a lot this week,

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that in order to kind of shift and,
and change the hearts and minds inside of

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the enterprise,
you have to start with knowledge workers.

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And those are the ones that actually need
to see AI in motion in the productivity

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side of how they approach their job
almost to give them a license to feel

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that it's acceptable.

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And as they do that and as they use that
more and more,

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and we saw this a lot towards
the end of last year,

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we're going to see a lot more
of that this year,

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particularly with advancements in
Gemini and Workspace.

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Hopefully that means the,
the groundswell adoption will be so

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strong that it will actually pave the way
for executives and companies and

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businesses owners and product owners are
going to be saying like not only is the

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technology ready, but finally, finally,
our people are ready too.

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Dana, thank you so much.

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Thank you very much.