查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
多模式人工智慧在企業應用中的成長機會
市場調查報告書
商品編碼
1351244

多模式人工智慧在企業應用中的成長機會

Multimodal AI Growth Opportunities in Enterprise Applications
出版日期: | 出版商: Frost & Sullivan | 英文 46 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

不同行業使用案例的增加將使相關人員能夠更好地利用資料收益

在不斷發展的數位環境中，人工智慧 (AI) 正在成為重塑傳統工作、業務流程和商業模式的卓越力量。各行業的公司正在採用創新的多模式人工智慧工具、解決方案和平台來發展業務、最佳化業務、創造策略差異化、改善客戶體驗並個性化他們的服務組合。我就是。語音、視訊和文字人工智慧功能的進步正在支持多模式人工智慧的發展。

此外，最近生成人工智慧技術領域的顛覆也將多模式方法從認知搜尋和推薦轉向生成能力。企業正在尋求有潛力改變業務模式、流程和企業職能的多模式人工智慧應用程式。這為整個生成式人工智慧堆疊（從資料格式和工具到平台和新的人工智慧應用）創造了成長機會。

本報告重點介紹了跨行業垂直和水平業務功能的新興多模式人工智慧的關鍵使用案例，以及影響人工智慧市場的促進因素和抑制因素。它還為技術供應商和服務提供者提供開拓特定產業多模式解決方案和資料領域的機會。

目錄

戰略問題

  • 為什麼成長如此困難？
  • The Strategic Imperative 8（TM）
  • 人工智慧 (AI) 三大策略問題的影響
  • 為Growth Pipeline Engine（TM）提供動力的成長機會

背景-人工智慧

  • 人工智慧是全球企業的首要技術優先事項
  • 企業在人工智慧之旅上不斷取得進展
  • 成長促進因素
  • 成長阻礙因素
  • 語音、視訊和文字人工智慧能力的成熟將支援多模態人工智慧的發展
  • 語音、視訊和文字人工智慧的成熟支援多模態人工智慧的發展 - 語音人工智慧
  • 支援多模式 AI 發展的音訊、影像和文字 AI 的成熟度 - 電腦視覺
  • 音訊、影片和文字 AI 的成熟支持多模態 AI 的發展 - 文字 AI

成長環境

  • 釋放資料的潛力需要分析影片、影像和文字形式的非結構化資料。
  • 越來越依賴整合資料格式的產業和功能的使用案例
  • 處理影片、影像和文字格式的對話式人工智慧正在興起。
  • 單模態、跨模態和多模態人工智慧的區分要素
  • 多模態人工智慧比傳統的單模態人工智慧模型更全面，能夠處理複雜的任務。
  • 多模式方法從認知搜尋和推薦功能轉向創造性和生成人工智慧
  • 生成式人工智慧加速多模式生態系統的發展
  • 多模態為生成式人工智慧堆疊創造成長機會
  • 多模式資料的可用性
  • 大規模機器學習模型支援多模態
  • 不斷發展的資料管理工具和平台
  • 轉變AI應用能力

前景

  • 需要一個集中式人工智慧管理平台

成長機會宇宙

  • 成長機會 1 -特定產業的多式聯運應用
  • 成長機會 2 - 多模態生成式 AI 基礎模型
  • 成長機會 3 -資料管理服務
  • 圖表列表
  • 免責聲明
簡介目錄
Product Code: PF20-69

Increasing Use Cases in Diverse Industries Enable Stakeholders to Better Monetize Data

In an evolving digital landscape, artificial intelligence (AI) is emerging as a preeminent force poised to reshape traditional job functions, operational processes, and business models. Cross-industry enterprises embrace innovative multimodal AI tools, solutions, and platforms to augment business growth, optimize operations, create strategic differentiation, enhance customer experience, and personalize service portfolios. Advancements in voice, video, and text AI capabilities have supported the growth of multimodal AI.

In addition, with the recent disruption in the generative AI technology space, the multimodal approach is also shifting from cognitive search and recommendation to generation capabilities. Enterprises are looking for multimodal AI applications with the potential to transform business models, processes, and company functions. This creates growth opportunities across the generative AI stack, from data formats and tools to platforms and emerging AI applications.

This report highlights key emerging multimodal AI use cases across industry verticals and horizontal business functions and drivers and restraints that impact the AI market. It also offers technology vendors and service providers opportunities they can explore in industry-specific multimodal solutions and the data management space.

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 Artificial Intelligence (AI)
  • Growth Opportunities Fuel the Growth Pipeline Engine™

Background-Artificial Intelligence

  • AI is a Technology Priority for Global Enterprises
  • Enterprises are Advancing in Their AI Adoption Journeys
  • Growth Drivers
  • Growth Restraints
  • Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth
  • Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth-Voice AI
  • Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth-Computer Vision
  • Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth-Text AI

Growth Environment

  • Unlocking Data Potential Requires Analyzing Unstructured Data in Video, Image, and Text Formats
  • Industry and Functional Use Cases Increasingly Dependent on Integrated Data Formats
  • Conversational AI Formats Increasingly Operating on Video, Image, and Text Formats
  • Differentiating Factors of Unimodal, Cross-modal, and Multimodal AI
  • Multimodal AI to be More Holistic and Tackle Complex Tasks than Traditional Single-mode AI Models
  • Multimodal Approach Shifting from Cognitive Search and Recommendation Capabilities to Creative and Generative AI
  • Generative AI Accelerates Multimodal Ecosystem Development
  • Multimodality Creates Growth Opportunities Across the Generative AI Stack
  • Availability of Multimodal Datasets
  • Large-scale ML Models Support Multimodality
  • Evolving Data Management Tools and Platforms
  • Transforming AI Application Capabilities

The Way Forward

  • The Need for a Centralized AI Management Platform

Growth Opportunity Universe

  • Growth Opportunity 1-Industry-specific Multimodal Applications
  • Growth Opportunity 2-Multimodal Generative AI Foundation Models
  • Growth Opportunity 3-Data Management Services
  • List of Exhibits
  • Legal Disclaimer