WEBVTT

00:00:00.041 --> 00:00:02.585
We are here at AWS reinvent.

00:00:02.585 --> 00:00:06.965
And one of the guests that we're delighted
to connect with is Edward Calvesbert.

00:00:07.173 --> 00:00:12.303
He is the VP of product management for IBM
Watson X, And we're great to see you.

00:00:12.387 --> 00:00:17.017
This has been an absolutely standout year
in generative AI.

00:00:17.100 --> 00:00:19.936
What stands out to you, as an expert?

00:00:19.936 --> 00:00:22.605
Yeah, I think the fact
that every conversations about GenAI

00:00:22.605 --> 00:00:26.317
right? Every conversation
I have at least, and not just here

00:00:26.401 --> 00:00:29.779
at the conference, but even at the dining
room table over Thanksgiving.

00:00:29.863 --> 00:00:30.780
People are talking about it.

00:00:30.780 --> 00:00:33.867
People are thinking about
how it's going to change the world.

00:00:33.908 --> 00:00:36.911
I think we're all very optimistic
about its potential,

00:00:37.078 --> 00:00:38.621
but obviously
we're still in the early days.

00:00:38.621 --> 00:00:39.831
So we'll see how it evolves.

00:00:39.831 --> 00:00:41.583
We're still in the early days.

00:00:41.583 --> 00:00:47.088
So, so far, share one element
that moved a lot faster than you thought

00:00:47.088 --> 00:00:50.800
it would and one element that moved a lot
slower than you thought it would.

00:00:50.884 --> 00:00:54.429
Yeah, I think the rate
and pace of experimentation

00:00:54.429 --> 00:00:57.807
within the enterprise is incredibly fast,
right?

00:00:57.891 --> 00:00:59.684
Companies have mobilized.

00:00:59.684 --> 00:01:02.687
They have gotten their hands
on the technology.

00:01:02.771 --> 00:01:03.897
They are experimenting.

00:01:03.897 --> 00:01:05.857
They're looking to see
where they can apply it.

00:01:05.857 --> 00:01:09.652
So it is
really impressive to see how rapidly

00:01:09.652 --> 00:01:14.657
and how broad based
the rate of experimentation has been. Now,

00:01:14.699 --> 00:01:15.366
I think one of the things

00:01:15.366 --> 00:01:18.620
that maybe is a little bit
slower is production implementations.

00:01:18.703 --> 00:01:22.791
And I think partially that's because
of all the concerns about governance

00:01:22.874 --> 00:01:25.418
and maybe the lack of clarity
in the regulatory environment.

00:01:25.418 --> 00:01:29.881
So it's really starting in some less
regulated, less sensitive areas.

00:01:29.964 --> 00:01:34.761
But really, you know, the technology
getting adopted in finance,

00:01:34.761 --> 00:01:38.181
or health insurance, or those kinds of use
cases is taking a little bit longer.

00:01:38.264 --> 00:01:43.520
So when you think about next year,
what are you most excited about for 2024?

00:01:43.603 --> 00:01:47.774
Yeah, I think the
the innovation is happening so quickly.

00:01:47.857 --> 00:01:52.654
There's so many partnerships and ecosystem
dynamics that are emerging. At WatsonX,

00:01:52.737 --> 00:01:54.447
we're incorporating

00:01:54.447 --> 00:01:56.991
a lot of that innovation
that comes from inside of IBM

00:01:56.991 --> 00:01:59.619
as well as outside of IBM,
the open source community,

00:01:59.619 --> 00:02:02.288
our business partners,
and some of our competitors even.

00:02:02.288 --> 00:02:07.627
So it's- I'm really excited to see
just how the ecosystem emerges.

00:02:07.710 --> 00:02:09.879
Some winners and losers maybe

00:02:09.879 --> 00:02:13.091
starting to get allocated
as the market starts to consolidate.

00:02:13.174 --> 00:02:17.137
Any hints as to what makes a winner?

00:02:17.220 --> 00:02:18.429
It's always about value, right?

00:02:18.429 --> 00:02:21.349
Business value, delivering

00:02:21.349 --> 00:02:26.354
a great experience to customers and
doing it at a price performance, right?

00:02:26.396 --> 00:02:29.774
That produces
tangible business results for enterprises.

00:02:29.774 --> 00:02:29.983
Right.

00:02:29.983 --> 00:02:35.155
So, experimentation to that business
value oriented

00:02:35.196 --> 00:02:37.532
proof point, I think that's what we're going
to start seeing happening next year.

00:02:37.532 --> 00:02:38.908
That's the magic formula.

00:02:38.908 --> 00:02:39.909
Edward, thank you very much.

00:02:39.909 --> 00:02:42.120
Edward Calvesbert
with us there. Thank you.