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  "documentTitle": "The front-runners’ guide to scaling AI Lessons from industry leaders",
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      "text": "Front-runners are more likely to have strong CEO and board sponsorship for their AI investments than fast-followers (19% vs. 5%, respectively, of surveyed companies).",
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      "text": "When it comes to leveraging diverse data sources, front-runners hold a clear edge as well. For instance, they’re more likely than fast-followers to heavily use zero-party data (44% vs. 4%), second-party data (30% vs. 7%), third-party data (25% vs. 8%) and synthetic data (35% vs. 6%). Fast-followers, in contrast, are only slightly more likely than front-runners to heavily use first-party data (60% vs. 67%) and tacit knowledge (72% vs. 68%).",
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      "text": "Fast followers are nevertheless held back in this area, our research also revealed, because they mostly lack a centralized operating model—such as a “center of excellence” that serves as the focal point for a company’s AI strategy, development and deployment. For example, only 16% of fast-followers have a centralized operating model, while 57% of front-runners do.",
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      "text": "But in many other data-related practices, fast-followers lag far behind. For example, 17% of front-runners use “retrieval-augmented generation” to enhance their LLMs, while only 1% of fast-followers do. Similarly, front-runners are much more likely than fast-followers to do things like use “knowledge graphs” to structure and contextualize data (26% v. 3%) and manage data effectively over the entire data lifecycle (22% vs. 6%).",
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      "text": "Front-runners prioritize people-centered change, too: They’re four times more likely than fast-followers to focus on cultural issues that impede change; three times more likely to emphasize talent alignment and transparent communication; three times more likely to use insights from behavioral science to continuously monitor the impact of AI-driven change; and two times more likely to offer structured training programs for employees.",
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      "text": "When it comes to data, fast-followers do possess certain advantages. For example, 96% are very strong in data governance, compared to 83% of front-runners. Ditto for data platforms (98% vs. 90%, respectively).",
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      "text": "To be sure, front-runners don’t have an edge at everything AI-related. Fast-followers, for example, are particularly strong at talent development; 96% of fast-followers focus on cultivating specialized AI talent (such as AI engineers), compared to 88% of front-runners.",
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      "text": "Consider other distinguishing traits of front-runners. These companies are more likely to have strong CEO and board sponsorship for their AI investments than fast-followers (19% vs. 5%, respectively, of surveyed companies). Front-runners are also more likely than fast-followers (59% vs. 36%) to have fully integrated their core AI strategy, critical processes and technology capabilities into a cohesive framework. More broadly, front-runners are three times more likely than other companies to have achieved a high level of maturity with their AI platforms.",
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      "text": "Another important differentiator for front-runners is that they’re more likely to be skilled at using and continuously improving autonomous AI agents that are tailored to industry needs. For instance, 65% of front-runners are skilled in this area, compared to 50% of fast-followers. Front-runners, likewise, are more adept than fast-followers at defining the business value from their AI use cases.",
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      "text": "Before going all in on strategic bets, Telstra, Australia's leading telecommunications company, wisely set about simplifying and modernizing its data ecosystem. This involves consolidating over 40 platforms into a small, integrated, data foundation. Once the rearchitecting is completed, Telstra will be far better placed to rapidly scale its gen AI capabilities.",
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