Vionlabs’ Founder Arash Pendari explains how AI-enhanced metadata boosts the value of video assets, fits into business workflows, and improves viewer engagement.
This week, we interview Vionlabs’ Founder and Creative Director, Arash Pendari, about how the company’s LLMs are improving its business for its customers.
Arash explains how his company uses AI to analyze the story arc of a movie or show. He explains how this processing allows Vionlabs to enhance the metadata about the content.
The company has created several specialized LLMs that allow deep analysis of the video content. For example, one specializes in evaluating valence, arousal, and dominance, the model for measuring human arousal. Arash provides examples of how his LLMs analyze content using this model.
Arash explains how one company is using AI-driven data from Vionlabs to create clips from its content to share on social media. The approach lowered the company’s costs per ad by 20%.
It is hard to identify appropriate clips from movies and shows that would be helpful in campaigns timed with cultural events, such as Black History Month. Arash explains how metadata enhancement, coupled with specific LLM technology, can help sift through all video assets to find the best clips.
The products of Vionlabs AI tools have been available to its customers long enough to see exactly how much improvement they deliver to the business. Arash gets specific about some of the improvements in business metrics.
Change management is one of the biggest challenges when introducing new enabling technologies. Arash explains how Vionlabs helps companies adapt to leverage LLM-enhanced data and systems.
If people don’t know they can have a more general conversation with search engines in video services, then the enhanced metadata loses much of its value. Arish explains how he thinks people will adapt to the technology.
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