DBTB INT Kanu Gulati
summary
Argues that combining large volumes of data with learning algorithms, distributed cloud infrastructure and modern hardware ushers an intelligence computing era where businesses get actionable insights. Calls out industrial IoT opportunities: aggregating real‑time streams with legacy data and solving streaming analytics over hybrid schemas. Promotes decentralized decision‑making via edge computing and mobile processing to cut latency and avoid central bottlenecks. Recommends entrepreneurs and data scientists focus on vertical domain expertise rather than horizontal tools.
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chapters (5)
- 0:00Introduction
- 0:26What were your expectations
- 1:01What were your takeaways
- 1:54What are the opportunities
- 3:45How do you become a data scientist
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