Unlocking the Power of Generative AI in Dow Jones with Ingrid Verschuren
Release Date: 11/19/2024
Analyse Asia
"I quote a study that looked at 84 countries in terms of internal migration and India was dead last. That's not a knock against the culture. It's just not part of the culture that young women in particular leave home at 17, go to the other side of the country and work in a factory. You don't have that. So what's the phrase: Culture eats strategy for breakfast. Apple might have a plan, but like good luck upending 5,000 years of Indian culture to make it happen." - Patrick McGee, author of "Apple in China" Fresh out of the studio, Patrick McGee, San Francisco correspondent for the...
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"At IBM, we really work on two emerging technologies: hybrid cloud and AI for enterprise. These two are deeply connected. Hybrid cloud for us means that regardless of where the data sits whether the compute is on-premise, off-premise, or across multiple clouds. We believe the client should have the control and flexibility to choose where to run and place their data. If you look at the facts, a very high percentage of client data is still on-premise. It hasn't moved to the cloud for obvious reasons. So, how can you scale AI if you don’t have proper access to that data? AI is all about the...
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"If you take a step back and ask, how has the last 10-15 years panned out? The truth of the matter is that Southeast Asia has not done as well as it should have based on the reports and projections that existed earlier. There have been fundamental flaws from a culture standpoint with respect to how the ecosystem has been shaped. I think there has been too much of a mirror of what's happening in Silicon Valley and figuring out how to replicate those concepts in Southeast Asia, whereas there should have been a better, more localized, customized, regional model to suit the culture and concepts in...
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"I think the why is so important, but it's always not really being asked. Most people want to know, 'What's your growth look like?' or 'How is this offering different from another offering?' Those are the questions we get most of the time. But going back to the real why we actually do this in the first place is the most critical question if you ask me. For myself personally, it is all about having a positive impact in society. We have chosen to go down the route of wellness, fitness, and longevity to have that positive impact, which we believe is extremely important and a strong one whereby...
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"Now, some people are only ever going to want to use WhatsApp to message the people in their life, and they should be able to carry on doing that and have an incredibly simple experience in doing so. But we're increasingly seeing that users want to use WhatsApp for more than messaging close friends and family. It's why we're doing things like business messaging. It's why we built new features like channels and status and updates tab separate from your personal chats. We think that if we carry on getting the core of private messaging right, it also gives us the opportunity to build more of...
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" We did a survey with The Economist globally which obviously included Europe and APAC as well. And we asked the question, 'Does my organization's current architecture supports the unique demands of AI workloads.' Basically 85% said, 'No. We don't have the architecture to support it.' Some partially does, but it needs lots of modifications. So we can still feel a lot of people are still in the early stages and that data point ties back to: 85% of GenAI [proof of concepts] has not gone into production. I think that another interesting point is, 'Does your architecture connect AI application?...
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"The thing that's most fascinating, we talk a lot about how complex North Korea is here but when you compare it to some of the other illicit groups, particularly those that are sanctioned, say your terrorist organization that's soliciting donations on Telegram or some other social media outlet understanding what that difference in the level of complexity is, I think is really fascinating to actually know about. When we're talking about DPRK, we're talking about laundering of funds through tens of thousands. By the time we're done, it'll be hundreds of thousands of wallets. And then on the...
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"When I discuss with senior leaders, interview them, or assess them for senior roles, they often come to me, and I ask them: 'What makes you unique? How do you see yourself?' Eighty percent of them tell me what they can't do. They talk about their development needs, and I say, 'Is that how you pitch yourself? Is that what you really bring to the table? You sit with a headhunter and tell me what you can’t do—why not tell me what you’re really good at?' Your exceptional value-add, your competitive advantage—that’s what makes an impact, not what you cannot do. Development needs require...
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"They will judge Masa to have been an extraordinarily consequential investor and historic figure in world investing and tech investing because he has made not just spectacular bets—but he's made so many people rich. I mean, with other people's money. All these founders, he's given them money, he's been an enormous disruptor, and he's built global businesses. He's built a huge business in Japan on the mobile operator. So for all these reasons, I know he sometimes feels dissatisfied with his legacy, and he's now trying to build his greatest legacy in the march to artificial general...
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"We're all vulnerable. And I hadn't thought about that previously. I thought, oh, it's only a small group of people who might fall for this. What I've learned is actually [that] these scammers are so sophisticated. They have so much money. Based on my reporting, this industry, you know, is maybe more lucrative than the illicit drug trade, and these criminal syndicates might be making over 500 billion US dollars a year. So that means they have access to the latest technology, whether it's voice cloning or face changing software. They can buy the latest in AI tools. they can stay several...
info_outline"So, we are very conscious of the fact that we license the content from other publications. And as I mentioned previously, we do that through licensing agreements. We are transparent with the publishers about what happens with their content. We ensure that they are being fairly compensated for the content that we use. But, as a result, when we started talking about how we wanted to use Gen AI, we actually felt that we had an obligation to go back to publishers and ask for additional licensing rights. Part of that, I think, is driven by the fact that Dow Jones is a publisher. We are a publisher ourselves. We are very protective of our content. We want to make sure that we understand what's happening with our content: Where is it going? Who is using it? And we want to be fairly compensated for it. So, if that's one of our core principles, then we also want to make sure that we treat all the other publishers exactly the same. One of the challenges has been that we had to go back to all publishers and ask for additional Gen AI licensing rights. The positive of that is that the content now available through Gen AI is actually fully licensed content. All publishers have given us permission to use their content for this specific use case." - Ingrid Vershuren
Fresh out of the studio, Ingrid Verschuren, Executive Vice President of Data and AI and General Manager, EMEA, at Dow Jones, shares her journey from manually indexing news articles at Reuters to leading Factiva’s transition into the era of generative AI. She explains the mental models and frameworks behind how Dow Jones uses AI to empower businesses with reliable data and insights and discusses the recent partnership with Google’s Gemini model and explains how Dow Jones works with the other content publications, navigating the complexities of trust and business model innovation. Last but not least, Ingrid explains what great would look like for Factiva in the age of AI.
Audio Episode Highlights:
[0:46] Quote of the Day #QOTD by Ingrid Verschuren
[2:19] Introduction to Ingrid Verschuren and Factiva
[4:29] Career Lessons from Ingrid
[5:58] Overview of Factiva
[8:30] The Evolution of Factiva and AI
[10:41] Applications of Generative AI for Factiva
[13:37] Challenges and Opportunities with Generative AI
[15:27] Safeguarding Against Misinformation
[19:25] Partnership with Google and Gemini Model
[21:29] Transparency and Auditability
[24:24] Staying Agile with Generative AI
[26:32] The Future of AI in Business Intelligence
[27:48] The Role of Human Judgment in AI
[28:59] What Great Looks Like for Factiva in the Age of Generative AI
[29:43] Closing
You can find Ingrid Verschuren, Executive Vice President, Data and AI and General Manager, EMEA at Dow Jones: https://www.linkedin.com/in/ingrid-verschuren-61a7684/
Podcast Information: Bernard Leong hosts and produces the show. Proper credits for the intro and end music: "Energetic Sports Drive" and the episode is mixed & edited in both video and audio format by G. Thomas Craig
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