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  "documentTitle": "The art of AI maturity Advancing from practice to performance",
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      "text": "R_i represents the level and evolution of a company's AI-influenced revenues (sustaining at >10%, reaching >30%) With i = company, t = 2021 and t-1 = 2018, X_it includes controls for industry, firm size and company location (country). The model is a linear probability Lasso model, a K-fold cross-validation with 10 folds performed.",
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      "text": "Design thinking: We ran a MURAL session with more than 15 senior data scientists to validate our AI maturity model.",
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      "text": "Survey: From August to September 2021, Accenture surveyed 1,615 C-suite executives at 1,176 of the world's largest companies—present in 16 industries and headquartered in 15 countries.",
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      "text": "2. Defined \"foundational\" and \"differentiation\" capabilities: In our models, we classified Capabilities_it-1 and ΔCapabilities_it as AI foundational capabilities; Capabilities Interactions_it,t-1 are—as the name suggests—capabilities with interaction, with strong senior sponsorship and a well-defined AI strategy.",
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      "text": "Economic modeling and data science: To assess companies' AI maturity, as well as other measures of performance, we took the following steps: 1. Identified key capabilities of AI maturity...",
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