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市場調查報告書
商品編碼
1586733

生成式AI的成長機會

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個工作天內

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簡介目錄

生成式AI的進步帶來變革性成長機會

由於生成式AI（GenAI），資訊與通訊技術（ICT）生態系統經歷重大變革。透過負責任地利用 GenAI，企業可以創造新的收益來源，開發創新解決方案，並為使用者和客戶提供個人化體驗。

公司主要希望實施 GenAI 來提高銀行、金融服務、保險、製造和醫療保健等多個行業領域的業務效率和生產力。 Frost & Sullivan 認為，採用重複性、低價值的任務（例如客戶服務和支援、IT 流程以及銷售和行銷）可以提高效率並改善客戶體驗。

但這波可能性也伴隨著挑戰。圍繞AI演算法的偏見以及AI生成的內容被濫用的可能性的道德考慮需要製定道德框架。此外，對就業轉移的擔憂和模型輸出缺乏可解釋性可能會成為 GenAI 採用的障礙。

目錄

戰略問題

  • 為什麼成長越來越困難？
  • The Strategic Imperative 8（TM）
  • 產生AI產業三大策略挑戰的影響
  • 成長機會推動Growth Pipeline Engine（TM）

成長機會分析

  • AI技術的演變
  • GenAI：對企業非常重要的顛覆性技術
  • 公司更喜歡客製化的內部GenAI 解決方案
  • GenAI的破壞
  • 生長促進因子
  • 成長阻礙因素

GenAI生態系統

  • GenAI 生態系統：主要相關利益者
  • GenAI 生態系統：系統整合商
  • GenAI 生態系統：服務供應商
  • GenAI 生態系統：基礎模型/LLM 供應商
  • GenAI 生態系統：資料和實施平台
  • GenAI 生態系統：硬體供應商

GenAI趨勢

  • 塑造 GenAI 格局的趨勢
  • SLM 為 GenAI 民主化鋪路
  • LLM的平行化興起
  • 與企業應用程式的整合持續快速成長
  • 需要主動的可靠性和安全保護
  • 監理塑造AI生態系統
  • 依行業分類的GenAI使用案例

一家採取行動的公司

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

成長機會宇宙

  • 成長機會1：生成式AI實施服務
  • 圖表列表
  • 免責聲明
簡介目錄
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