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
- Automotive
- 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
- DataRobot
- TIBCO
- Red Hat
- Advice for the Technology Buyer
- Learn More
- Related Research
- Synopsis
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