Multimodal AI Applications Are Fast Becoming a Reality

Multimodal AI Applications Are Fast Becoming a Reality

This IDC Perspective covers the current state of innovation for multimodal AI, real-world applications, promising use cases, fusion strategies for data coming from different modalities, customer success scenarios/offerings, technical challenges, best practices, and the future promise. It also provides guidance to the technology buyer on how to embrace multimodal AI applications and maximize ROI."Multimodal AI is a new frontier in cognitive AI and has multiple applications across business functions and industries," says Ritu Jyoti, group vice president, AI and Automation research at IDC. "Many of the problems surrounding AI's inability to understand context could be overcome with the development of strong multimodal AI algorithms and applications."

Please Note: Extended description available upon request.

Executive Snapshot
Situation Overview
Real-World Applications
Promising Use Cases
Healthcare and Pharmaceutical
Media and Entertainment
Manufacturing/Product Design
Smart Energy
Creating Multimodal AI Solutions
Multimodal Challenges
Future of Multimodal AI
Example Technology Offerings and Customer Success Scenarios
Red Hat
Advice for the Technology Buyer
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