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封面
市场调查报告书
商品编码
1586733

生成式人工智慧的成长机会

Growth Opportunities in Generative AI
出版日期: | 出版商: Frost & Sullivan | 英文 61 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

生成式人工智慧的进步带来变革性成长机会

由于生成式人工智慧 (GenAI)，资讯与通讯技术 (ICT) 生态系统正在经历重大变革。透过负责任地利用 GenAI，企业可以创造新的收益来源，开发创新解决方案，并为使用者和客户提供个人化体验。

公司主要希望实施 GenAI 来提高银行、金融服务、保险、製造和医疗保健等多个行业领域的业务效率和生产力。 Frost & Sullivan 认为，采用重复性、低价值的任务（例如客户服务和支援、IT 流程以及销售和行销）可以提高效率并改善客户体验。

但这波可能性也伴随着挑战。围绕人工智慧演算法的偏见以及人工智慧生成的内容被滥用的可能性的道德考虑需要製定道德框架。此外，对就业转移的担忧和模型输出缺乏可解释性可能会成为 GenAI 采用的障碍。

目录

战略问题

  • 为什么成长如此困难？
  • The Strategic Imperative 8（TM）
  • 产生人工智慧产业三大策略挑战的影响
  • 成长机会推动Growth Pipeline Engine（TM）

成长机会分析

  • 人工智慧技术的演变
  • GenAI：对企业至关重要的颠覆性技术
  • 公司更喜欢客製化的内部GenAI 解决方案
  • GenAI的破坏
  • 生长促进因子
  • 成长阻碍因素

GenAI生态系统

  • GenAI 生态系统：主要相关利益者
  • GenAI 生态系：系统整合商
  • GenAI 生态系统：服务供应商
  • GenAI 生态系统：基础模型/LLM 供应商
  • GenAI 生态系统：资料和实施平台
  • GenAI 生态系统：硬体供应商

GenAI趋势

  • 塑造 GenAI 格局的趋势
  • SLM 为 GenAI 民主化铺路
  • LLM的平行化正在兴起
  • 与企业应用程式的整合持续快速成长
  • 需要主动的可靠性和安全保护
  • 监理塑造AI生态系统
  • 按行业分類的 GenAI使用案例

一家采取行动的公司

  • Cloudera
  • Katonic AI
  • Adobe
  • ActiveFence
  • Databricks
  • Dataiku
  • 流行的 GenAI 模型：比较

成长机会宇宙

  • 成长机会1：生成式AI实施服务
  • 图表列表
  • 免责声明
简介目录
Product Code: PFNZ-69

Generative AI Advancements Driving Transformative Growth Opportunities

The information and communication technology (ICT) ecosystem is on the cusp of a major transformation thanks to Generative AI (GenAI), as this powerful technology opens new possibilities. Responsible use of GenAI can help companies generate new revenue streams, develop innovative solutions, and provide users and customers with personalized experiences.

Businesses are primarily looking to adopt GenAI to drive operational efficiency and improve productivity across several industry sectors, such as banking, financial services, and insurance; manufacturing; and healthcare. Frost & Sullivan has observed that adoption is high for repetitive, low-value tasks as well as to enhance efficiency and boost customer experiences, such as customer service and support, IT processes, and sales and marketing.

However, this wave of possibilities comes with challenges. Ethical considerations surrounding biases in AI algorithms and potential misuse of AI-generated content necessitate the development of ethical frameworks. Additionally, concerns around job displacement and lack of explainability for model outputs may represent obstacles to GenAI adoption.

Table of Contents

Strategic Imperatives

  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative 8™
  • The Impact of the Top 3 Strategic Imperatives on the Generative AI Industry
  • Growth Opportunities Fuel the Growth Pipeline Engine™

Growth Opportunity Analysis

  • The Evolution of AI Technologies
  • GenAI: A Key Disruptive Technology for Enterprises
  • Enterprises Favor Customized and In-house GenAI Solutions
  • The GenAI Disruption
  • Growth Drivers
  • Growth Restraints

The GenAI Ecosystem

  • The GenAI Ecosystem: Key Stakeholders
  • The GenAI Ecosystem: System Integrators
  • The GenAI Ecosystem: Service Providers
  • The GenAI Ecosystem: Foundational Model/LLM Providers
  • The GenAI Ecosystem: Data and Implementation Platforms
  • The GenAI Ecosystem: Hardware Providers

GenAI Trends

  • Trends Shaping the GenAI Landscape
  • SLMs Pave the Way for GenAI Democratization
  • LLM Parallelization Gains Ground
  • Integration with Enterprise Applications Evolves Quickly
  • Proactive Trust and Safety Safeguards are Now Necessary
  • Regulations Shape the AI Ecosystem
  • GenAI Use Cases by Industry Vertical

Companies to Action

  • Cloudera
  • Katonic AI
  • Adobe
  • ActiveFence
  • Databricks
  • Dataiku
  • Popular GenAI Models: A Comparison

Growth Opportunity Universe

  • Growth Opportunity 1: Generative AI Implementation Services
  • List of Exhibits
  • Legal Disclaimer