See how AI works
for 76 companies
in entertainment

Context Windows brings together credible AI case studies from the open web, so you can pick and prioritise the use cases that are already working.

Real-world implementations from

Netflix logoN
NetflixContent production
PGA TOUR logoP
PGA TOURWebsite testing
Chess.com logoC
Chess.comWorkforce reporting
Aston Martin Aramco Formula One Team logoA
Aston Martin Aramco Formula One TeamRadio intelligence
Sony Group logoS
Sony GroupKnowledge management
Netflix logoN
NetflixContent production
PGA TOUR logoP
PGA TOURWebsite testing
Chess.com logoC
Chess.comWorkforce reporting
Aston Martin Aramco Formula One Team logoA
Aston Martin Aramco Formula One TeamRadio intelligence
Sony Group logoS
Sony GroupKnowledge management
Try:,,
Showing 9 of 76 case studies
PGA TOUR logoP

PGA TOUR

Entertainment|Mid-size

Shot commentary

AgenticL3

Most of the field played in silence — raw data, no story. Now AI narrates every shot with leaderboard position and player history.

30k+Shots with Commentary
via aws.amazon.com
Published 2 days ago
Aston Martin Aramco Formula One Team logoA

Aston Martin Aramco Formula One Team

Entertainment|Mid-size

Radio intelligence

AgenticL2

Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.

<5 secsRadio Processing Time
via wf.coreweave.com
Published Jul 21, 2026
Netflix logoN

Netflix

Entertainment|Enterprise

Content production

AgenticL1

VFX sequences ate budgets and capped output. AI in post-production now pays for itself—savings fund the next round of productions.

50%Cost Reduction
via nationalcioreview.com
Published Jul 17, 2026
World Rugby logoW

World Rugby

Entertainment|Mid-size

Match insights

AgenticL3

Rugby match data existed but never reached fans live. AI now turns it into 65+ on-screen insights per game, built and approved by analysts.

1,521AI Insights Generated
via capgemini.com
Published Jul 6, 2026
PGA TOUR logoP

PGA TOUR

Entertainment|Mid-size

Website testing

AgenticL4

Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.

<3 minsQA Time Reductionvs ~1 hour per tournament
via aws.amazon.com
Published Jun 25, 2026
New Zealand Rugby logoN

New Zealand Rugby

Entertainment|Mid-size

Player performance analysis

AgenticL2

Player data scattered across systems; every insight required manual work. Now coaches query 1,000+ data points per match in plain language.

via aws.amazon.com
Published Jun 20, 2026