Multimodal AI Growth Opportunities in Enterprise Applications

Multimodal AI Growth Opportunities in Enterprise Applications

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

RELEASE DATE
15-Sep-2023
REGION
Global
Deliverable Type
Market Research
Research Code: PF20-01-00-00-00
SKU: MX_2023_143
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$2,450.00
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Description

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

Table of Contents

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

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
More Information
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
Podcast No
WIP Number PF20-01-00-00-00