WEBVTT

912294b1-d9e0-4952-9f39-2a305eeeee2b-0
00:00:00.080 --> 00:00:02.280
Kaushal and Vikas, thanks for
joining us.

864cb933-e74e-4548-969b-cc93a4742aac-0
00:00:02.800 --> 00:00:05.520
Kaushal, tell us about the work
you're doing at Salesforce.

90a2916d-22ec-4b4a-9a89-a12b06cb89c8-0
00:00:05.520 --> 00:00:06.720
Where do you see the biggest

2aa54fed-f412-4ac9-be3a-8c15f04e39a0-0
00:00:06.800 --> 00:00:08.000
GenAI opportunities?

c5c3c0d5-d590-4878-8547-0bdcc2e6517a-0
00:00:08.480 --> 00:00:09.240
Yeah, thanks, Gigi.

d0d946f2-fd88-425f-930f-b7fb3be070d5-0
00:00:09.240 --> 00:00:10.120
Thanks for having us.

59b67ae1-f2ce-4090-9b44-a7b862f193d9-0
00:00:10.840 --> 00:00:12.280


91afcde1-3061-4f88-884d-2feb90af599f-0
00:00:12.280 --> 00:00:18.545
The GenAI work we do is around
really transforming all aspects

91afcde1-3061-4f88-884d-2feb90af599f-1
00:00:18.545 --> 00:00:24.513
of business workflows: sales,
service, marketing, commerce,

91afcde1-3061-4f88-884d-2feb90af599f-2
00:00:24.513 --> 00:00:27.000
Slack, Tableau analytics.

8f5f77e4-38b6-4662-aac2-3aabe74c7641-0
00:00:27.600 --> 00:00:31.413
It's really infused into every
part of our workflow that

8f5f77e4-38b6-4662-aac2-3aabe74c7641-1
00:00:31.413 --> 00:00:34.960
Salesforce does. As the number
one CRM in the world,

3b0ab919-a163-4b53-930f-36ad31aac43a-0
00:00:35.000 --> 00:00:36.360
we are infusing GenAI

e4b70e8c-5ca2-4517-9482-35aff7fecd9e-0
00:00:36.360 --> 00:00:41.176
with data and trust to back it
up and give customers really the

e4b70e8c-5ca2-4517-9482-35aff7fecd9e-1
00:00:41.176 --> 00:00:44.863
confidence to build
productivity, efficiency and

e4b70e8c-5ca2-4517-9482-35aff7fecd9e-2
00:00:44.863 --> 00:00:49.153
grow their businesses in new
ways that were not possible

e4b70e8c-5ca2-4517-9482-35aff7fecd9e-3
00:00:49.153 --> 00:00:49.680
before.

d55bd2ed-df02-4c5b-8394-c2e912cc5a5a-0
00:00:50.440 --> 00:00:55.357
So my team helps out in building
out the generative AI platform

d55bd2ed-df02-4c5b-8394-c2e912cc5a5a-1
00:00:55.357 --> 00:01:00.197
for all our internal clouds and
features to leverage all these

d55bd2ed-df02-4c5b-8394-c2e912cc5a5a-2
00:01:00.197 --> 00:01:05.191
exciting capabilities coming out
into the world and deliver them

d55bd2ed-df02-4c5b-8394-c2e912cc5a5a-3
00:01:05.191 --> 00:01:07.880
so that customers can really
drive

3a3a6afb-7918-4339-9b74-7b71aa3c97cd-0
00:01:07.880 --> 00:01:09.800
new forms of efficiency and
productivity.

c3916123-64da-4ba0-be84-fa096c20fd3e-0
00:01:10.880 --> 00:01:13.704
Okay. Vikas, how are business
leaders using those

c3916123-64da-4ba0-be84-fa096c20fd3e-1
00:01:13.704 --> 00:01:16.360
opportunities and mitigating all
of the risks?

4d0379f0-2621-4c49-9f71-73c11b51b428-0
00:01:17.040 --> 00:01:18.240
It's a great question.

5c116eeb-0a67-4b62-8bc6-0bd2722d1316-0
00:01:18.360 --> 00:01:21.360
And I think there's at least two
different categories of risk.

7c0f2a65-5c87-48b3-9198-a701ef80b41f-0
00:01:21.840 --> 00:01:25.148
There's the technology risk,
which is what we hear a lot

7c0f2a65-5c87-48b3-9198-a701ef80b41f-1
00:01:25.148 --> 00:01:28.805
about around auditability and
around hallucinations and all of

7c0f2a65-5c87-48b3-9198-a701ef80b41f-2
00:01:28.805 --> 00:01:29.560
those things.

f726525e-74ae-44b7-a387-0d069bb32107-0
00:01:29.960 --> 00:01:33.186
And actually I've found that
business leaders have been able

f726525e-74ae-44b7-a387-0d069bb32107-1
00:01:33.186 --> 00:01:36.254
to tackle that by and large
pretty well. Like, know which

f726525e-74ae-44b7-a387-0d069bb32107-2
00:01:36.254 --> 00:01:39.215
use cases you can use,
generative AI, what the state of

f726525e-74ae-44b7-a387-0d069bb32107-3
00:01:39.215 --> 00:01:41.119
the technology is today, and so
on.

cff590a4-a23b-4bfe-8b22-9f18568da7ba-0
00:01:41.520 --> 00:01:45.212
But there's another category of
risk, which I think is

cff590a4-a23b-4bfe-8b22-9f18568da7ba-1
00:01:45.212 --> 00:01:47.160
organizational risk, which is

ba6b0a1c-8c07-4ade-add0-974b931513d8-0
00:01:47.160 --> 00:01:50.169
Okay, so the technology is
there, but are the people in my

ba6b0a1c-8c07-4ade-add0-974b931513d8-1
00:01:50.169 --> 00:01:52.720
organization fully trained and
enabled to use it?

a6c8c8db-0f36-49ca-b9c0-4e341a5ea946-0
00:01:52.880 --> 00:01:55.320
Are we capturing the maximum
value from it?

b2c7a9c7-6304-4e09-b4b3-c783382ceb68-0
00:01:55.720 --> 00:01:58.354
Are we actually dreaming big
enough as an organization in

b2c7a9c7-6304-4e09-b4b3-c783382ceb68-1
00:01:58.354 --> 00:02:00.080
terms of what the potential
might be?

6e2f6cee-d396-45f8-96e6-4335a5f402e0-0
00:02:00.400 --> 00:02:02.920
And actually, I think there's
probably more to be done in that

6e2f6cee-d396-45f8-96e6-4335a5f402e0-1
00:02:02.920 --> 00:02:03.280
category.

8b11f581-4c93-4527-ab5e-ba4670b34d98-0
00:02:03.280 --> 00:02:06.191
So the organizational risk, I
would say, is almost a bigger

8b11f581-4c93-4527-ab5e-ba4670b34d98-1
00:02:06.191 --> 00:02:08.520
opportunity than the technology
risk right now.

39681128-9be3-4512-85c8-9cfdc03d0fdf-0
00:02:09.640 --> 00:02:10.600
So dream big.

7df26503-9410-4dd0-ab7b-90e33aab165d-0
00:02:10.640 --> 00:02:14.320
How do you help maximize those
opportunities?

16fec625-ed77-4d5d-9ac2-7ad1f306bbc3-0
00:02:14.320 --> 00:02:16.480
Where are the areas of growth?

4e9ff0af-a192-45b7-b11d-9c34818979c3-0
00:02:17.840 --> 00:02:19.000
You know, the areas of growth, 

f7213ed1-c2e1-4b61-a167-61056178d238-0
00:02:19.000 --> 00:02:23.755
a lot of things that we've been
doing manually for forever will

f7213ed1-c2e1-4b61-a167-61056178d238-1
00:02:23.755 --> 00:02:28.140
tend to get automated and I
think something that's tedious

f7213ed1-c2e1-4b61-a167-61056178d238-2
00:02:28.140 --> 00:02:32.375
like a customer support agent
for instance writes a case

f7213ed1-c2e1-4b61-a167-61056178d238-3
00:02:32.375 --> 00:02:36.760
wrap-up summary usually and
takes a long time to write it,

ac348986-96fa-4dfb-8b9c-de47bec98398-0
00:02:36.760 --> 00:02:41.070
45 minutes, will now be able to
generate a summary in 5 minutes

ac348986-96fa-4dfb-8b9c-de47bec98398-1
00:02:41.070 --> 00:02:45.245
and review it with a human in
the loop and be able to approve

ac348986-96fa-4dfb-8b9c-de47bec98398-2
00:02:45.245 --> 00:02:48.882
it and really increase their
productivity and do more

ac348986-96fa-4dfb-8b9c-de47bec98398-3
00:02:48.882 --> 00:02:49.960
creative things.

f9f3ec3f-c583-4b7e-a138-a1a291c5f673-0
00:02:50.120 --> 00:02:53.898
A marketer can really get the
help of, you know, image

f9f3ec3f-c583-4b7e-a138-a1a291c5f673-1
00:02:53.898 --> 00:02:58.090
creation tools, video creation
tools, and use that to create

f9f3ec3f-c583-4b7e-a138-a1a291c5f673-2
00:02:58.090 --> 00:03:02.350
marketing copy in very quick
time and be able to really focus

f9f3ec3f-c583-4b7e-a138-a1a291c5f673-3
00:03:02.350 --> 00:03:04.480
on the most strategic elements.

f4bdf445-acc0-49e3-8b05-cf54edd8b10d-0
00:03:05.040 --> 00:03:08.934
So I think it'll free up a lot
of the workforce from many of

f4bdf445-acc0-49e3-8b05-cf54edd8b10d-1
00:03:08.934 --> 00:03:12.573
the tedious things, get the
right information to them at

f4bdf445-acc0-49e3-8b05-cf54edd8b10d-2
00:03:12.573 --> 00:03:16.212
their fingertips, and really
have more a productive day,

f4bdf445-acc0-49e3-8b05-cf54edd8b10d-3
00:03:16.212 --> 00:03:20.170
productive conversations with
their business counterparts and

f4bdf445-acc0-49e3-8b05-cf54edd8b10d-4
00:03:20.170 --> 00:03:24.064
also engage customers, their
customers, in a very meaningful

f4bdf445-acc0-49e3-8b05-cf54edd8b10d-5
00:03:24.064 --> 00:03:24.319
way.

5a099886-9ab2-42b2-8079-529eec0e3b60-0
00:03:25.200 --> 00:03:28.440
So the opportunities seem, with
this general purpose technology,

0c710411-6609-46c4-b830-b3f5f2f7ffa7-0
00:03:28.440 --> 00:03:31.760
we have not seen anything like
this in AI for a long time.

814a30a6-e90f-40f8-96cb-c70016f9a271-0
00:03:31.760 --> 00:03:35.140
It's been promised for a while,
but it hasn't come and now that

814a30a6-e90f-40f8-96cb-c70016f9a271-1
00:03:35.140 --> 00:03:38.520
it's here, we are really seeing
an endless amount of potential.

d478838e-53ce-4f40-9a0b-aa7458f385da-0
00:03:38.520 --> 00:03:42.933
So ten years from now, the way
we do work, in many aspects of

d478838e-53ce-4f40-9a0b-aa7458f385da-1
00:03:42.933 --> 00:03:46.777
it, the way we do content
production, every aspect of

d478838e-53ce-4f40-9a0b-aa7458f385da-2
00:03:46.777 --> 00:03:51.120
life, will get touched with some
form of this AI revolution.

e4c76f6b-5599-45ab-8db2-f7301cbb4b4b-0
00:03:51.720 --> 00:03:52.520
How do you see GenAI 

f233e1ec-d02e-48e0-9aaa-c7706cc35a32-0
00:03:52.640 --> 00:03:54.320
contributing to growth
strategies?

e30df76a-13d4-40df-9b5d-48a8363533d4-0
00:03:55.080 --> 00:03:56.640
Yeah, this revolution in GenAI

b03d146f-19ec-4b06-ae1e-ce65ee502bf3-0
00:03:56.640 --> 00:03:59.861
is really going to be
transformative for all walks of

b03d146f-19ec-4b06-ae1e-ce65ee502bf3-1
00:03:59.861 --> 00:04:00.160
life.

5274198e-7062-41a2-81a6-3b9cefb94340-0
00:04:00.640 --> 00:04:05.054
I think it is going to improve
productivity in in the workforce

5274198e-7062-41a2-81a6-3b9cefb94340-1
00:04:05.054 --> 00:04:08.985
across various business
functions and also consumer life

5274198e-7062-41a2-81a6-3b9cefb94340-2
00:04:08.985 --> 00:04:13.192
will get impacted in various
ways, whether it's health care,

5274198e-7062-41a2-81a6-3b9cefb94340-3
00:04:13.192 --> 00:04:17.400
banking, life insurance, or any
aspect that we can think of.

10241153-aaae-4d41-82ee-61d31afb2f60-0
00:04:17.400 --> 00:04:21.407
So it's a very general-purpose
technology that we'll see that

10241153-aaae-4d41-82ee-61d31afb2f60-1
00:04:21.407 --> 00:04:24.640
it'll transform our lives in
many different ways.

41172924-ab8f-420f-8ac3-a4f42a6b4dd6-0
00:04:25.560 --> 00:04:26.840
I totally agree with Kaushal.

cd0c3c88-d24f-4d7d-a17c-5a557d09e420-0
00:04:26.840 --> 00:04:30.537
I feel like the potential for
GenAI and functional

cd0c3c88-d24f-4d7d-a17c-5a557d09e420-1
00:04:30.537 --> 00:04:32.640
transformation is incredible.

27c76369-2224-4a82-ae97-f0934cca7ea0-0
00:04:33.200 --> 00:04:36.533
I also really empathize with
business leaders because it's

27c76369-2224-4a82-ae97-f0934cca7ea0-1
00:04:36.533 --> 00:04:37.720
such a moving target.

ce58f718-e553-4fa1-8c64-a84921a5dc02-0
00:04:38.080 --> 00:04:40.830
You look at where technology is
today and where it is six months

ce58f718-e553-4fa1-8c64-a84921a5dc02-1
00:04:40.830 --> 00:04:42.480
from now, and it's completely
changed.

8fbdda99-0da9-4398-b000-40de6f646e1b-0
00:04:42.800 --> 00:04:45.926
So for CEOs and business leaders
to really be thinking about,

8fbdda99-0da9-4398-b000-40de6f646e1b-1
00:04:45.926 --> 00:04:49.153
what do I build, what do I buy,
and where do I partner, I think

8fbdda99-0da9-4398-b000-40de6f646e1b-2
00:04:49.153 --> 00:04:51.120
that's really a key muscle to
develop.

7a4058c2-e923-496d-b352-5e79c44a25f5-0
00:04:51.840 --> 00:04:54.356
Really helpful advice, Kaushal
and Vikas, thanks for joining

7a4058c2-e923-496d-b352-5e79c44a25f5-1
00:04:54.356 --> 00:04:54.480
us.

924fae59-2ef0-4011-97b0-5b3471fd64f8-0
00:04:54.920 --> 00:04:55.480
Thank you, Gigi.