According to Gartner, by 2027, 40% of generative AI (GenAI) solutions will feature multimodal capabilities—encompassing text, images, audio, and video—up from just 1% in 2023. This transition from single-modal to multimodal models promises to improve human-AI interactions and create unique opportunities for differentiated GenAI-powered products and services.
The Rise of Multimodal GenAI
Multimodal Generative AI is set to revolutionize enterprise applications by introducing innovative features and capabilities previously unattainable. Its influence spans across various industries and applications, enhancing interactions at every point where AI meets human engagement. Currently, many multimodal models incorporate only two or three modalities, but this is expected to expand significantly in the coming years.
Open-Source LLMs
Open-source large language models (LLMs) are transforming enterprise value by democratizing access to advanced generative AI. They enable businesses to tailor models for specific tasks and use cases while fostering collaboration within developer communities across enterprises, academia, and research. This collective effort drives innovation and enhances the models' overall effectiveness and value.
Domain-Specific GenAI Models
Domain-specific generative AI models are designed to meet the unique needs of particular industries, business functions, or tasks. They enhance use-case alignment within enterprises by offering improved accuracy, security, and privacy, along with more contextually relevant responses. These models minimize the need for complex prompt engineering compared to general-purpose models and reduce the risk of inaccuracies through focused training.
Autonomous Agents
Autonomous agents are integrated systems designed to achieve specific goals independently of human input. By leveraging various AI techniques, these agents can detect patterns, make decisions, execute a series of actions, and produce results. Their ability to learn from their surroundings and refine their performance over time allows them to tackle increasingly complex tasks effectively.
You can read more in the report “Hype Cycle for Generative AI, 2024.” Learn more in the Gartner webinar “What Mature Organizations Do Differently for AI Success.”
How do you think expanding multimodal capabilities in AI will impact your industry in the next few years? 