人工智慧使用案例

AI Use Cases

出版日期: 2024年11月21日 | 出版商:

Frost & Sullivan | 英文 51 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录

人工智慧供应商有机会透过产业专用的解决方案推动创新和成长

人工智慧正在从一项独立技术转变为推动全球业务成长的核心建构模组。对于国际公司保持竞争力而言，部署人工智慧变得越来越重要。提高效率、生产力并获得竞争优势正在推动企业越来越多地采用人工智慧。

了解人工智慧使用案例和采用案例对于技术供应商保持相关性和竞争力至关重要。透过识别特定产业的应用程式并了解如何将人工智慧整合到各种业务功能中，供应商可以客製化其产品以满足客户不断变化的需求。这种分析使人工智慧供应商和服务/解决方案提供者能够开发有针对性的创新解决方案，提供有价值的见解，并将自己定位为人工智慧领域值得信赖的合作伙伴。

内容如下：

2029年之前的促进生长和阻碍因素及其影响程度
按行业分类的案例研究（製造、BFSI、医疗保健、旅游和酒店、零售）
按业务职能分類的使用案例（销售和行销、人力资源、供应链和物流、製造和生产、客户服务和支援、法律、行政和支援服务）
着名参与公司简介（Microsoft、 Oracle、SAP、Infor、Zoho）

AI has moved from a standalone technology to a core building block that drives global business growth. AI adoption is increasingly critical for international businesses to stay competitive. Improved efficiency and productivity and the need to gain a competitive edge drive the rising adoption of AI among businesses.

Understanding AI use cases and adoption is crucial for technology vendors to stay relevant and competitive. By identifying industry-specific applications and understanding how AI can integrate into various business functions, vendors can tailor their offerings to meet the evolving needs of customers. This analysis will enable AI vendors and service/solution providers to develop focused, innovative solutions; provide valuable insights; and establish themselves as trusted partners in the AI landscape.

Contents include:

Growth drivers and restraints and their degree of impact until 2029
Deployments by industry (manufacturing, BFSI, healthcare, travel & hospitality, and retail)
Use cases by business function (sales & marketing, human resource, supply chain & logistics, manufacturing & production, customer service & support, legal, and administrative & support services)
Brief profiles of notable participants (Microsoft, Oracle, SAP, Infor, and Zoho)