Summary
The aim of this study is to examine the impact of the arrival of AI in the media and entertainment sector.
It seeks to answer the following questions:
– What disruptions can be expected as a result of the arrival of AI in the media sector?
– Which parts of the value chain are most likely to be affected?
– What are the concrete use cases for AI in the sector?
– What developments are expected from these initial applications?
– What are the main benefits and barriers to the use of AI in the media sector?
Table of contents
Executive summary
1. Context of AI in media and entertainment
▪ Introduction ▪ Definition ▪ Key features ▪ Disruption
2. AI in production
▪ Key features ▪ Use cases
3. AI in Post-Production
▪ Key features ▪ Visual effects ▪ Translation and dubbing
4. Content and asset management
▪ Key features ▪ Use cases
5. Content monetisation
▪ Key features ▪ Use cases
6. User experience and personalisation
▪ Key features ▪ Use cases
7. Conclusion: Benefits and barriers
Geographic area
Players
- A+E Networks
- Act.tv
- AI Screenwriter
- AI-Media
- Amagi
- Amazon
- American Film Institute
- British Board of Film Classification
- Brut
- CBS Broadcasting Inc.
- Cuebric
- Deepdub
- Disney Research Studios
- Disney+
- Electronic Arts
- Eventage
- EVS
- FOX Sports
- French Rugby League
- Genario
- Kerv
- Lola Visual Effects
- Mirriad
- NBCUniversal
- Netflix
- Newsbridge
- OrangeLogic
- Peacock
- Pixar Animation Studios
- Portland Trail Blazers
- Respeecher
- Runway
- Ryff
- SEED
- Tastemade
- TikTok
- UGCScripts
- University of California
- YouTube
Other details
- Reference: M00114MRA
- Delivery: on the DigiWorld Interactive platform
- Languages available: French, English
- Tags: AI in Media, media, entertainment, content, TV, streaming
