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個工作天內

價格

簡介目錄

人工智慧供應商有機會透過產業專用的解決方案推動創新和成長

人工智慧正在從一項獨立技術轉變為推動全球業務成長的核心建構模組。對於國際公司保持競爭力而言，部署人工智慧變得越來越重要。提高效率、生產力並獲得競爭優勢正在推動企業擴大採用人工智慧。

了解人工智慧使用案例和採用案例對於技術供應商保持相關性和競爭力至關重要。透過識別特定產業的應用程式並了解如何將人工智慧整合到各種業務功能中，供應商可以客製化其產品以滿足客戶不斷變化的需求。這種分析使人工智慧供應商和服務/解決方案提供者能夠開發有針對性的創新解決方案，提供有價值的見解，並將自己定位為人工智慧領域值得信賴的合作夥伴。

內容如下：

2029年之前的促進生長和阻礙因素及其影響程度
按行業分類的案例研究（製造、BFSI、醫療保健、旅遊和酒店、零售）
按業務職能分類的使用案例（銷售和行銷、人力資源、供應鏈和物流、製造和生產、客戶服務和支援、法律、行政和支援服務）
著名參與公司簡介（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)