The following is excerpted from the question-and-answer section of the transcript.
(Questions from industry analysts are provided in full, but answers are omitted - download the transcript to see the full question-and-answer session)
Question: Koji Ikeda - Bofa Merrill Lynch Asset Holdings Inc - Analyst
: Koji Ikeda from Bank of America, thanks so much for doing this. I've been coming to SwampUP for many years now, and I'd like to say this is probably
one of the most exciting ones and you could hear from the customers that we've spoken with and so congratulations on that.
And with all the announcements, it seems like, clearly, AI is going to be a big theme for you guys for many years to come. But I'm going to ask a
more grounded question. So how do we keep our expectations grounded from what could come from AI, meaning what are the customers looking
for today? What are the problems that they're trying to address, and what is maybe holding them back from spending much more with you guys?
Question number one.
And then question number two maybe for Ed, a lot of announcements today, a lot of new growth drivers like how do we think about how this
could potentially play into the fiscal '27 targets you have out there now?
Shlomi Ben-Haim - Jfrog Ltd - Chairman of the Board, Chief Executive Officer, Co-Founder
So I'll take the first question and Ed, obviously, will take it from there. I think that first, what prevents customers from adopting AI at scale is exactly
what we say on stage -- what we said on stage. First of all, you don't know how much AI will cost you next year or the year after when you train
your model, where you take your model, and so on.
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Second thing, and this is something obviously that other companies might build the solution for cost predictability. The second thing is that AI is
still not trusted. Yes, there is a lot of pressure. There is a lot of pressure to adopt AI and to run faster. AI is still not fully trusted, and the third thing
is AI is still not fully regulated.
Just a few weeks back, there was a new executive order coming from the White House about what it means to adopt AI in the enterprise. So
obviously, these kinds of things are giving us an amazing opportunity to build together with the community what will it be or how will be the
future of software supply chain.
Now why we are so positive about the steps we take? Assume that you have artifactory as your binary repository manager. And you manage your
Python there with PyPI and your Docker there and your Conda and your CRAN and all other packages. What are the chances that as an enterprise
with 10,000, 50,000, whatever number of developers you have, what are the chances that you will just decide one morning that you take a different
model registry for your models, although they are binaries?
If we have that, we can actually put a full stop right here. Like, let's speak about how big the market of model registry is. I think you understand
how big it is. But let's speak about all the platform extensions to just the registry, and you will understand why we are so excited about it and why
we have to act now and to lead the curve so when the market will come mature from regulation perspective, compliance perspective, security
perspective, cost predictability, JFog will be as it is for the rest of the binaries, the vendor of choice.
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