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Jonathan Adashek, the SVP of marketing and communications at IBM, talks AI marketing.

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Transcript
00:00When our CEO, Arvind Krishna, took over in April of 2020, he was very clear.
00:06He said, we are going to be the leading hybrid cloud and AI company.
00:14For us at IBM, the most urgent priority as we work with our clients and our partners
00:19is really making sure that we're co-creating solutions.
00:23And they've got to use that data to its fullest
00:26to really make sure that they can get ahead of their competition
00:30and make sure that the models, the AI models that they're using
00:35and that they're training are trained and being used in a way that result
00:39in answers that answer authentically for them as a company.
00:44Because the insights they can get out of that data, out of that AI is really unbelievable.
00:49I'm really fortunate because at IBM, we've got a great program
00:52that allows people to really learn the skills that they need
00:56for their current role or learn skills that will give them opportunities in the future.
01:01That allows people to really get great talent and great expertise
01:06in the skills that they need for their jobs.
01:09The other way that we've been doing this is as it relates to AI,
01:13we've been running these Watson X challenges inside the company
01:16where we get everybody, they get the opportunity to take two or three weeks
01:21to create things using Watson X, our large language, our AI product.
01:26And they develop teams across the company and around the world.
01:31And the best products, we celebrate those.
01:33Some of those we've brought to market.
01:36So that has brought people more closely to the tool and to the product,
01:41but it's also given them a lot of comfort in what they are trying to do and experimentation.
01:45And that's especially important because the average life of a technology skill today
01:51is just under three years.
01:53So there's a lot of skilling that needs to constantly happen.
01:56I think there are a lot of people who understand what IBM is as a brand.
02:01There's an old saying that you don't get fired for hiring IBM
02:04and people recognize the logo, the eight bars and the name.
02:09But does everybody understand what IBM truly does?
02:12And that's something we're really focused on at IBM today.
02:16So one of those things was as we spun out the company now known as Kindrel.
02:21That was about 90,000 people.
02:24It was about $19 billion in revenue.
02:27A big change where people questioned, is that the right thing to do?
02:32When we sold the weather company, when we got out of Watson Health,
02:35those were all things that we did because they weren't not going to get us to the point
02:39of being the leading hybrid cloud and AI platform company.
02:42The conversations that came in and the tone of conversations
02:45has really been interesting and engaging and exciting.
02:50You know, I think that we're in a different space when it comes to AI.
02:53I think more people are using AI in their organizations,
02:57but I think people are still hesitant to take the full dive in.
03:01But the conversation about how you do it is at a different place than it was just a year ago.
03:09And that's candidly not super surprising because when you look at enterprise data usage today,
03:16only 1% of enterprise data is in a large language model today.
03:22So that's been interesting.
03:24People are starting to look ahead to the future.
03:26And the conversation that I've been in a lot has been around search engine optimization or SEO for AI.
03:34What do we need to do as marketers to think about how we show up differently?
03:39What does this mean now that people are turning to other options besides just
03:43a traditional search engine to get their results?
03:46How do we show up differently?
03:48What kind of content do we need to create?
03:51Where does it need to be?
03:52How is it tagged?
03:53That's been a conversation that I've had a lot here.
03:56And I think it's going to be very interesting to see where that goes.

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