OTT and Streaming in India
Data, Algorithms and What You Watch
Streaming services track viewing habits to recommend shows and decide what to commission, shaping what gets made.
Data drives decisions.
Recommendations
Algorithms suggest content based on past viewing.
Commissioning
Data on audience tastes influence which shows get funding.
Privacy
Viewing history is personal data protected under privacy laws.
Limits
Data cannot fully predict a breakout hit.
A suggested show
A viewer of crime thrillers gets more of the same in her recommendations.
Assuming data replaces creative judgement
Both are used.
Key takeaways
- Algorithms recommend.
- Data influences funding.
- Viewing history is personal data.
- Hits are hard to predict.
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