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  "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
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      "text": "Example: Industrial manufacturer MNC. To facilitate collaborative, cross-functional approach, the company operates an AI lab that pulls people out of their daily jobs for 1-2 weeks to work with data scientists on prototype solutions.",
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      "text": "Of cases where business leaders pioneer AI projects see value added (vs. only 17% where tech solely leads similar projects).",
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      "text": "Create an environment in which tech can co-develop and implement AI solutions with business team. Critical to design for consumption: Business teams whose work is affected must be engaged to provide feedback and test prototypes.",
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      "text": "Upon new AI investments, it is important to build in cost lines for both producing and consuming AI (e.g., developing expertise among business users, building processes and metrics to support adoption)",
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      "text": "37% Of cases where business leaders pioneer AI projects see value added (vs. only 17% where tech solely leads similar projects)",
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      "text": "88% Of companies that generate value from AI tightly link their AI initiatives to company-wide digital transformations",
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      "text": "Sources: BCG-MIT Sloan Research report Winning with AI Pioneers Combine Strategy, Organizational Behavior, and Technology, Oct 2019; BCG, How to Win with Artificial Intelligence; BCG analyses and experience",
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