 Leveraging Generative AI: Strategies, Implementation, and ImpactRohan Sharma Chapter Chapter 24 in AI and the Boardroom, 2024, pp 297-313 from Springer Abstract: 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? Date: 2024 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:979-8-8688-0796-1_24 Ordering information: This item can be ordered from DOI: 10.1007/979-8-8688-0796-1_24 Access Statistics for this chapter More chapters in Springer Books from Springer |
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