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Leveraging Generative AI: Strategies, Implementation, and Impact

In: AI and the Boardroom

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  • Rohan Sharma

Abstract

Generative AI offers incredible potential to drive business innovation—but are you leveraging it strategically? This chapter explores how organizations can implement Generative AI effectively by identifying high-impact use cases, optimizing tools, and ensuring long-term sustainability. Creating a clear value hypothesis is the first step: understanding where Generative AI can make a significant difference. Prioritize use cases with high potential, refine models with proprietary data, and leverage reusable patterns for scalability. Don’t overlook the costs—financial, environmental, and reputational—of deploying AI, and focus on developing ethical, responsible applications. Ready to take action? Establish foundational AI models tailored to your business needs, integrate data thoughtfully, and continuously iterate through learning cycles to improve capabilities. By balancing visionary thinking with practical execution, your organization can harness the transformative power of Generative AI, driving lasting innovation and competitive edge. Will your strategy propel you to market leadership, or leave you trailing in a rapidly advancing digital world?

Suggested Citation

  • Rohan Sharma, 2024. "Leveraging Generative AI: Strategies, Implementation, and Impact," Springer Books, in: AI and the Boardroom, chapter 0, pages 297-313, Springer.
    • Handle: RePEc:spr:sprchp:979-8-8688-0796-1_24
    DOI: 10.1007/979-8-8688-0796-1_24
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