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00:00AI is a big part of your business today.
00:05Where do you stand now in terms of what
00:06are the biggest challenges in terms of communicating
00:10what AI can do for a business?
00:13I think that if you really look at what's going on with AI
00:17today, a lot of companies are still
00:21trying to figure out what the use case is.
00:23And they're still trying to figure out
00:25how do they apply it in their organization.
00:27And some are dipping their toes in,
00:29and some are getting more adventurous or being
00:34more aggressive in it.
00:36And really getting people comfortable
00:38with what it can do.
00:40And getting people uncomfortable with the value
00:45they can get out of their data.
00:47So if we go back to the masters or to the US Open,
00:50for example, the US Open, we gathered roughly 7 million
00:56points of data across a two-week tournament.
00:59No human can go through all of those.
01:01No.
01:02Nobody can.
01:03But if you then start bringing that to life
01:05and showing people.
01:06So that's a two-week tournament.
01:08You think about a company that's working throughout the year,
01:10and you think about how many customers or clients they
01:13might have in operations.
01:15You start thinking about all those pieces.
01:18It really can become a daunting issue for people to tackle.
01:23So you can build an app that's powered
01:25by AI and the cloud for a customer.
01:29Yes, but it's also more than just apps.
01:32This is about the way I look at AI,
01:35and we look at it in many ways inside of IBM,
01:38is there's a big iceberg.
01:42The top 20% of that iceberg, that's
01:45the consumer-facing applications of AI.
01:47We're really focused on the 80% of the iceberg
01:50down below, where the enterprise changes are going to happen,
01:53and where the changes to the business are going to happen.
01:56And so yes, there could be an application building,
01:59but there could also be changes in the way HR operates.
02:02There could be changes in the way you procure things
02:05and supply chain.
02:06Which could be an in-house app or app for internal use.
02:09Yeah.
02:10I mean, whatever.
02:11Yeah.
02:12Internally at IBM, what we call our client zero examples
02:17is we took our HR, and now everybody
02:21goes through an app called Ask HR.
02:25It's now been broader to go Ask IBM.
02:28And in the first year of that being put in place,
02:32there were over 10 million interactions with that app.
02:35And now you can move people's offices quicker,
02:38and you can promote people quicker,
02:40you can hire people quicker.
02:41It just makes it much faster and much more efficient
02:44to do that thing, so that people can shift their time
02:47from doing the repetitive tasks that you could automate
02:52to go to do more value-creating tasks.
02:54I'll stick with another one, and that
02:58is relating to Canva, who's partnering on this.
03:03The content that we create, the average designer inside of IBM
03:09spends 80% of their time on a derivative asset.
03:14As we think about AI and we think about automation,
03:17and I can take that 80% down to 50% or 40 or 30 or 20,
03:22that becomes a much more robust design team
03:26that can help create better journeys for our clients that
03:30are not just personalized, but relevant,
03:32relevant to the individual, relevant to the company,
03:34relevant to the industry.