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  "documentTitle": "Now decides next: Getting real about Generative AI",
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      "text": "Build trust through transparency, familiarity, technology and guardrails. To scale up, you need to skill up.",
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      "text": "In today's extremely competitive market for AI talent, organizations are not only aggressively pursuing new talent, but also training their broader workforces on Generative AI. When Generative AI is deployed at scale, different technical and human-focused skills will become more important. To succeed, organizations will likely need to move beyond simple fluency and create new roles, new work processes, and a new organizational culture—with an active focus on developing junior talent into senior talent that can use Generative AI to its full advantage. Organizations might also need to realign their existing internal resources around projects, which could include centralizing Generative AI talent to simultaneously support multiple initiatives across the enterprise.",
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      "text": "Trust is the foundation for increased adoption. Without it, widespread use of Generative AI won't happen. Improving AI fluency and providing broader access to Generative AI tools can help people get more comfortable with the technology and gain a more realistic perspective on what it can and cannot do. Having the right data management, technology infrastructure and governance in place to help ensure high-quality inputs as well as verified and explainable outputs will also help build trust. As a leader, you can also actively instill trust in Generative AI throughout your organization by (1) clearly and regularly communicating your strategic objectives for Generative AI, (2) fostering a culture of curiosity that encourages employees to experiment with the new tools, and (3) frequently measuring worker trust to uncover potential frustrations and barriers to adoption.",
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