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INTERVIEW

Interviewat Machine Learning Developers Summit 2019 · 2019-01-30..01-31· [machine-learning]
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slides:none on file

Voot describes running data-driven product decisions on a streaming app that handles a daily quantum of data that feels almost uncomputable, and ships concrete features like download, pause and rewind plus adaptive quality and casting. The stack relies on on‑prem warehousing, SDK-driven event collection, native Android/Objective‑C clients and Python for modeling. Claims: competitors copy major UX moves within six months; open‑source Google/Facebook tooling and friendlier AWS make it plausible that a layperson can run an ML model and see results in 5–10 minutes within five years.

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