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Multimodal AI Growth Opportunities in Enterprise Applications
Increasing Use Cases in Diverse Industries Enable Stakeholders to Better Monetize Data
15-Sep-2023
Global
Market Research
PF20-01-00-00-00
MX_2023_143
$2,450.00
Special Price $1,837.50 save 25 %
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.
Author: Hemangi Sunil Patel
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™
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
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
Generative AI Accelerates Multimodal Ecosystem Development (continued)
Generative AI Accelerates Multimodal Ecosystem Development (continued)
Multimodality Creates Growth Opportunities Across the Generative AI Stack
Availability of Multimodal Datasets
Large-scale ML Models Support Multimodality
Large-scale ML Models Support Multimodality (continued)
Evolving Data Management Tools and Platforms
Transforming AI Application Capabilities
The Need for a Centralized AI Management Platform
The Need for a Centralized AI Management Platform (continued)
Growth Opportunity 1—Industry-specific Multimodal Applications
Growth Opportunity 1—Industry-specific Multimodal Applications (continued)
Growth Opportunity 2—Multimodal Generative AI Foundation Models
Growth Opportunity 2—Multimodal Generative AI Foundation Models (continued)
Growth Opportunity 3—Data Management Services
Growth Opportunity 3—Data Management Services (continued)
List of Exhibits
Legal Disclaimer
List of Figures
- Current State of AI Deployment, Global, 2022
- AI: Growth Drivers, Global, 2023–2029
- AI: Growth Restraints, Global, 2023–2029
- Structured, Semi, and Unstructured Data Share in Organizations, Global, 2022, 2023, and 2025
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| Deliverable Type | Market Research |
|---|---|
| Author | Hemangi Patel |
| Industries | Cross Industries |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Multimodal Ai Solutions |
| Keyword 2 | Enterprise Ai Applications |
| Keyword 3 | Growth Opportunities In Ai |
| List of Charts and Figures | Current State of AI Deployment, Global, 2022~ AI: Growth Drivers, Global, 2023–2029~ AI: Growth Restraints, Global, 2023–2029~ Structured, Semi, and Unstructured Data Share in Organizations, Global, 2022, 2023, and 2025~ |
| Podcast | No |
| WIP Number | PF20-01-00-00-00 |