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多模式人工智慧在企业应用中的成长机会
市场调查报告书
商品编码
1351244

多模式人工智慧在企业应用中的成长机会

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个工作天内

价格
简介目录

不同行业使用案例的增加将使相关人员能够更好地利用资料收益

在不断发展的数位环境中，人工智慧 (AI) 正在成为重塑传统工作、业务流程和商业模式的卓越力量。各行业的公司正在采用创新的多模式人工智慧工具、解决方案和平台来发展业务、最佳化业务、创造策略差异化、改善客户体验并个性化他们的服务组合。我就是。语音、视讯和文字人工智慧功能的进步正在支持多模式人工智慧的发展。

此外，最近生成人工智慧技术领域的颠覆也将多模式方法从认知搜寻和推荐转向生成能力。企业正在寻求有潜力改变业务模式、流程和企业职能的多模式人工智慧应用程式。这为整个生成式人工智慧堆迭（从资料格式和工具到平台和新的人工智慧应用）创造了成长机会。

本报告重点介绍了跨行业垂直和水平业务功能的新兴多模式人工智慧的关键使用案例，以及影响人工智慧市场的促进因素和抑制因素。它还为技术供应商和服务提供者提供开拓特定产业多模式解决方案和资料领域的机会。

目录

战略问题

  • 为什么成长如此困难？
  • The Strategic Imperative 8（TM）
  • 人工智慧 (AI) 三大策略问题的影响
  • 为Growth Pipeline Engine（TM）提供动力的成长机会

背景-人工智慧

  • 人工智慧是全球企业的首要技术优先事项
  • 企业在人工智慧之旅上不断取得进展
  • 成长促进因素
  • 成长阻碍因素
  • 语音、视讯和文字人工智慧能力的成熟将支援多模态人工智慧的发展
  • 语音、视讯和文字人工智慧的成熟支援多模态人工智慧的发展 - 语音人工智慧
  • 支援多模式 AI 发展的音讯、影像和文字 AI 的成熟度 - 电脑视觉
  • 音讯、影片和文字 AI 的成熟支持多模态 AI 的发展 - 文字 AI

成长环境

  • 释放资料的潜力需要分析影片、影像和文字形式的非结构化资料。
  • 越来越依赖整合资料格式的产业和功能的使用案例
  • 处理影片、影像和文字格式的对话式人工智慧正在兴起。
  • 单模态、跨模态和多模态人工智慧的区分要素
  • 多模态人工智慧比传统的单模态人工智慧模型更全面，能够处理复杂的任务。
  • 多模式方法从认知搜寻和推荐功能转向创造性和生成人工智慧
  • 生成式人工智慧加速多模式生态系统的发展
  • 多模态为生成式人工智慧堆迭创造成长机会
  • 多模式资料的可用性
  • 大规模机器学习模型支援多模态
  • 不断发展的资料管理工具和平台
  • 转变AI应用能力

前景

  • 需要一个集中式人工智慧管理平台

成长机会宇宙

  • 成长机会 1 -特定产业的多式联运应用
  • 成长机会 2 - 多模态生成式 AI 基础模型
  • 成长机会 3 -资料管理服务
  • 图表列表
  • 免责声明
简介目录
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