How Can AI Be Used to Simplify the Creation of Video Presentations?

Artificial Intelligence in Video Production: From Theory to Practice

Creating high-quality video content for training, briefings, and presentations traditionally requires significant resources: time for filming, studio preparation, camera work, and lighting. Given the regular updates to regulatory frameworks and the need to adapt materials for different audiences, the traditional approach becomes a bottleneck. In his presentation, Vasily Ryazanov, Head of the Data Science team at Twinby, PhD in Physics and Mathematics, and AI expert, explains how AI avatar technology is transforming the video creation process, making it fast, scalable, and cost-effective.

What is an AI Avatar and How Does It Work?

An AI avatar is a digital video copy of a person created from a short source video. The speaker demonstrates how this technology works using the HeyGen platform. To create an avatar, you simply need to record a two- to five-minute video following basic rules (do not cover your face, speak with pauses). After processing, the system generates a digital copy capable of reproducing the speaker's voice, facial expressions, and gestures.

The process of creating new videos featuring the avatar is similar to working in a simple text editor: the user enters text, selects the language and intonation, and the system generates a finished video. This completely eliminates the need for reshoots when creating new content.

Practical Scenarios for Using AI Avatars

The presentation details four key areas where the use of AI avatars provides the greatest impact:

• Creating video presentations for products and services. Avatars allow you to quickly generate content in a unified corporate style. This is especially relevant when scaling a product line and needing to rapidly create dozens of similar presentations.
• Adapting content for international markets. The platform supports over 40 languages and multiple accents. The same avatar can fluently "speak" English, Spanish, or Chinese, maintaining a recognizable image of the company representative for different audiences.
• Developing training materials and briefings. This is a critically important area for HSE. When rules change (for example, regarding first aid), there is no longer a need to reshoot the entire course. It is enough to change the text in the editor, and the avatar will voice the updated information, seamlessly integrating it into the existing video sequence.
• Managing social media. The technology allows for the regular release of news digests, Q&A sessions, or educational videos, minimizing the speaker's time commitment.

Advantages and Limitations of the Technology

The speaker emphasizes that the main advantage of AI avatars is the ability to delegate routine work. A person only needs to participate in filming once, after which scriptwriting and video generation can be handed over to assistants. This solves force majeure issues (speaker illness, lack of a studio) and significantly reduces production costs.

However, the technology has its limitations. Vasily Ryazanov notes potential artifacts in the intonation of the generated voice (especially in Russian) and the avatar's gesture dependency on the source video. Furthermore, when implementing such solutions in a corporate environment, information security and ethical issues must be considered — the viewer should not be misled about the nature of the video content.

What You Will Learn from This Webinar:

• How to create your own digital video copy (AI avatar) using modern services?
• Which video content creation tasks can be fully automated and delegated?
• How to quickly update video briefings without additional filming when regulatory requirements change?
• How to adapt training materials for foreign employees without hiring translators and voice actors?
• What ethical and technical risks need to be considered when using AI avatars in corporate training?