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- Gene AI has actually
got a lot of potential.

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It is more humanlike than
anything we have ever innovated on

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in the history of humankind.

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- Welcome to AI Factor, coming

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to you from the NASDAQ market site.

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Today we're sitting down with
Cche Kaur, CEO of DataStax

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to explore how companies are
building out their generative

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AI capabilities.

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Thanks for being here, Chet.

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- Thank you for having me.
I'm looking forward to this.

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- So, as the AI hype kind
of moderates a little bit,

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how have you seen companies
expectations about the potential

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of AI and the speed of AI kind of evolve?

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- So this is a little bit of background.

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This is my fifth technology wave.

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So I've, I've been through
client server, the web,

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mobile cloud, and now gen ai.

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This is, this has happened
before we, something happens

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and we think it's gonna change
the world like yesterday and,

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and a big thing is gonna happen

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and people anticipate that
it'll happen like right away.

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And it doesn't, because it
takes, it takes a while.

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Remember that it takes three things.

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It takes technology, people,

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and process to bring something together.

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And so people and process take longer than

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technology generally.

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So I think what Gen AI has
actually got a lot of potential.

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The reason why it'll go
faster than anything else is

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because it builds on the waves before,

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and it's more humanlike than
anything we have ever innovated

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on in the history of humankind.

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And so it's gonna go really
quick, but still not tomorrow.

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So I think what's happening is a lot

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of people have done
experiments, I call it, I,

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I call the phase we're in the
Angry Birds part of Gen ai.

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This is like, you know, when
when the iPhone came out,

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the big app was Angry Birds,
now was Angry Birds useful.

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Yeah. But you know, what was
more useful was retail banking

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and shopping and this and that

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and so much more like you can
go to school on it, right?

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And so that part is yet to come,

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- Right?

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So we're still in kind of
the fun experimental phase,

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but the more productive

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and maybe more focused
stuff will come later.

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- I, we call this in January.

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We said this year was gonna
be the year of production ai.

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And a lot of people said, really?

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We said, yeah, every one

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of our customers is gonna put
something into production this

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year on generative ai.

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Either externally or internally.

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It might be a small app, but it'll happen.

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The real fun is gonna be next
year, we call it the year

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of transformative ai.

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That's when people start doing things

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that Joe just goes from
efficiency to effectiveness

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and then changes the
entire business model.

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- Zooming into data stacks,

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how are you guys helping
companies leverage real time

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data to build out these AI capabilities?

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- From a AI perspective,
there is no AI without data.

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There is no AI without unstructured data,

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and there's no AI without
unstructured data at scale.

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We are the unstructured data at scale.

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We power the largest apps
in the universe from a,

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from a unstructured data
point of view, right?

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You can think about any large app

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and it actually is powered by technology

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that we've contributed
to in a massive way.

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So we help our customers in two ways.

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One is you need to make sure
you modernize your data estate.

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And so if you don't modernize it,

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you will not get the context.

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LLMs are really good,

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but they give you content, the context,

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the information about you.

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The information about me sits
in the databases that we have.

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And so how do you modernize to make

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that a more personalized
experience rather than just make it

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about what the web has, right?

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So that's one. And then
the second thing is

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building these gen AI apps.

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It's a little bit of the
wild, wild west, right?

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A lot of, there are lots of
different ways of doing it,

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but there's no clear opinionated way,

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which is based on open
source that people are doing.

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So we're bringing that to our customers.

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So how we contribute is twofold.

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One is we are making sure

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that customers are
modernizing their data so

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that they can actually build gen AI apps.

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And then we are actually
giving them all the tooling

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and the framework to go
off and make it happen.

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- So you mentioned those tools.

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How has that kind of changed, given

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that there are now more
AI native companies?

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And how are your offerings
different maybe for companies

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that were born into this
AI world versus those

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that are getting into it after
years of doing other stuff?

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- The AI natives get AI intuitively.

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They're building their
companies, their apps

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and things like that on it.

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They know exactly how to bring

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the different pieces together.

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And I'm not talking about open AI

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and Google, I'm talking about
the people open, you know,

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starting companies in garages, right?

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And the new sales forces of
the world, if I