ALL PHOTOS FROM SESSION:

SUMMARY

This discussion at TVOT NYC 2024 focused on practical AI applications in the media and entertainment industry. Key points included using AI to enhance video content creation, such as increasing video production speed by 10 times and automating closed captioning, which boosted efficiency. AI was also leveraged for content discovery, personalizing user experiences, and improving metadata to enhance ad performance and user engagement. The panelists highlighted AI's role in reducing reporting time from 10-20 hours to seconds and in generating real-time audience insights. They emphasized the potential of AI in multimodal experiences and the need for cost-effective solutions like small language models to unlock new use cases. Much more was discussed (see Topics below).

DESCRIPTION OF SESSION

This session will explore advanced AI applications that are making money or saving money in video streaming services right now. Panelists include:

• Anjali Midha, CEO, Diesel Labs
• Colin Dixon, Principal Analyst, nScreenMedia (Moderator)
• Deepna Devkar, SVP of Machine Learning and AI—Global Streaming, Warner Bros Discovery
• Philippe Petitpont, CEO, Moments Lab
• Zack Rosenberg, CEO, Qortex
  

TOPICS

The key topics discussed in the conversation include: video understanding, metadata enrichment, content discovery and personalization, cost efficiency through automated reporting, content-based advertising targeting, the potential of AI to enhance creativity and engineering outcomes, AI-powered video captioning and transcription, leveraging user signals and data to personalize content recommendations, using AI to optimize content placement and ad monetization, the importance of consistent metadata and data architecture for AI applications, the challenges of cost and compute efficiency for conversational AI and voice search, and the potential for AI to enable new forms of multimodal and immersive content experiences.