DBTB INT Nemanja Spasojevic
summary
Data science leadership at Elysium Technologies reports that modern stacks let teams prototype analytics with low effort, focusing on slicing and dicing data rather than building infrastructure. The talk claims the real scaling challenge is multi‑dimensional — not just volume but scaling across languages and other axes — and calls these open problems. It recommends finding a concrete problem, learning from peers in the devreal.ai network, and starting with hands‑on experiments.
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