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AI in Entertainment

Real-world AI deployments tracked across organizations, countries/regions, and use cases.

Entertainment has 4 tracked AI use cases across 4 countries/regions and 4 organizations. Activity is led by China and Czech Republic, with frequent examples from Dimension Studio and iQIYI.

4
Use Cases
4
Organizations
4
Countries/Regions
10 Oct 2026
Latest Update

Top Countries/Regions

1China
1 cases
2Czech Republic
1 cases
3Sweden
1 cases
4United Kingdom
1 cases

Top Organizations

1Dimension Studio
1 cases
2iQIYI
1 cases
3O2 arena Prague
1 cases
4Spotify
1 cases

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O2 arena PragueCzech Republic10 Oct 2026

O2 arena Prague: Citymind website chatbot correctly handles 49,400+ visitor queries and saves over 2,345 hours

O2 arena, the multi-purpose arena in Prague, uses a Citymind AI chatbot on its website to answer visitors' questions about tickets, entrances and event start times, parking and transport. During the period reviewed in a July 2026 Citymind case study, it correctly handled more than 49,400 queries, over 93% of relevant inquiries, saving more than 2,345 hours of manual processing, with more than half of conversations outside working hours.

iQIYIChina23 Jun 2026

iQIYI Launches Nadou Pro, China's First AI Agent for Professional Film and TV Production

On March 30, 2026 iQIYI launched Nadou Pro in pre-commercial release, an AI agent for professional film and TV production that orchestrates its QiZhi models and third-party video models through specialised agents for screenwriting, art direction, storyboarding and VFX. All 16 upcoming works in the Peter Pau × iQIYI AI Theater were made with it.

Dimension StudioUnited Kingdom23 Jun 2026

Dimension Studio Cuts Animated Film Production from Months to Weeks with AI Pipeline

Dimension Studio developed an end-to-end AI content production pipeline using an agentic script breakdown framework, ComfyUI with Stable Diffusion and Flux models, reducing animated content production from months to weeks — their film Mara & Milo was delivered in one-third the time of traditional processes.

SpotifySweden24 Mar 2026

Large-Scale Music Recommendation and Content Discovery Using Deep Learning

Spotify, headquartered in Stockholm, operates one of the world's largest AI-powered music recommendation systems serving over 600 million users globally. The recommendation engine combines collaborative filtering, natural language processing, and audio feature analysis through deep neural networks to personalize playlists such as Discover Weekly and Daily Mixes for each user. Spotify's ML infrastructure processes billions of user interactions and listening histories to generate real-time recommendations updated every 24 hours. Audio analysis models use convolutional neural networks to extract features directly from raw audio waveforms, enabling the system to recommend new songs with similar acoustic characteristics even before they accumulate listening history.

All Entertainment use cases

Every Entertainment deployment tracked in the catalog, A-Z.