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高知特(Cognizant):生成式AI在商业运营中的应用研究报告(中译版)(18页).pdf

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1、Gen AI in business operations2 Gen AI in business operationsTable of contentsGen AI in business operations1AI to gen AI and BPO adoption3Evolution of AI in the workplace3Gen AI:Applications,challenges and the future4Business expectations in the gen AI era5Expert voices weigh in on gen AIs impact at

2、workplace6McKinseys view on gen AI and workforce transformation 7BCGs perspective on gen AI and job satisfaction8Cognizants gen AI positioning9Our case studies of gen AI applications11Gen AIs impact on business process outsourcing sector12Stay relevant and capture maximum market share14Invest in gen

3、 AI today for tomorrows edge17About the authors 182 Gen AI in business operations3 Gen AI in business operationsAI to gen AI and BPO adoption The formal foundation of AI as a scientific discipline was established in the mid-20th century.The Dartmouth Conference in 1956 marked the birth of AI as a fi

4、eld of study,where pioneers like John McCarthy,Marvin Minsky and Allen Newell explored the potential of creating machines that could simulate human intelligence.Since then,AI has undergone significant transformations,leading to the current state of generative AI(gen AI).This evolution has had a prof

5、ound impact across various industries.In this white paper,we delve into the historical context and evolution of AI to gen AI and examine its impact on the business process outsourcing(BPO)sector,which is yet to fully leverage this latest technological advancement.Evolution of AI in the workplaceThe

6、initial applications of AI in the workplace were limited due to technological constraints.In the 1970s and 1980s,expert systems were designed to mimic human decision-making,and robots began automating repetitive tasks in manufacturing,improving efficiency and precision.Significant advancements in ma

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本文主要探讨了生成式人工智能(Gen AI)在商业运营中的应用、挑战和未来趋势。文章首先回顾了人工智能的发展历程,从专家系统到机器学习,再到深度学习和神经网络,最终发展到今天的生成式人工智能。生成式人工智能能够通过学习现有数据来创造新的内容,如文本、图像和音乐,其应用领域广泛,包括内容创作、医疗保健、艺术设计和游戏等。然而,生成式人工智能也面临着质量控制、知识产权和伦理使用等挑战。 文章还分析了生成式人工智能在客户服务中的应用,包括个性化、24/7可用性、简化决策、可扩展性、成本效率、增强产品发现和一致性等关键优势。同时,文章还引用了麦肯锡和波士顿咨询集团的研究,探讨了生成式人工智能对劳动力转型和员工满意度的潜在影响。 此外,文章还分享了几个生成式人工智能应用的案例研究,包括增强生产力的GitHub Copilot、为财富100强公司提供生成式AI驱动的洞察、为全球保险领导者优化回归测试等。最后,文章探讨了生成式人工智能对商业流程外包(BPO)行业的影响,并提出了如何利用生成式人工智能来保持相关性和获取最大市场份额的建议。
什么是生成式人工智能(Gen AI)? Gen AI在客户服务中的应用有哪些? Gen AI对BPO行业有哪些影响?
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