Video generation uses generative AI to produce short video content from prompts and other user-specified inputs. It supports personalized customer experiences, creative production, and enterprise content workflows. section 5.4 section 1.3.7
Common applications include:
- Marketing videos and personalized advertisements targeted to audience interests or customer behavior. section 5.4
- Entertainment content that enhances films, television programs, stories, or games. section 5.4
- Educational videos that combine animation and narration while adapting to student difficulty levels. section 5.4
- Virtual customer-support agents, multilingual receptionists, and real-time sports commentators. section 5.4
- Synthetic video or other generated data used as input for machine-learning model creation. section 5.4
Prompt-driven video production
A user describes an artistic style, imaginary scene, or real-world situation in a prompt. Sora generates a short clip that follows the description while maintaining visual quality and coherent characters and movements. Similar prompt-based options include Runway Gen-2, Pika, Hotshot, and Stable Video Diffusion. section 1.3.7
Video generation remains an early and rapidly developing capability. Available systems can support enterprise experimentation and production use cases, but their capabilities vary by tool, with some focused on short clips. section 5.4 section 5.6
Figure 5.15 Wochit AI video generation
View an example of Wochit’s AI video-generation workflow. section 5.4
