INTERVIEW
summary
Company history of iterative bets: early pivot from analytics to machine learning first, a five‑year bet on Spark then a later full shift to deep learning, now exploring reinforcement learning. Team spends 30–40% of staff time on reading papers, replicating experiments and prototyping; about 3–5 corporate customers get 3–5 day corporate trainings to upskill staff. Builds small client projects and training products; admits some failed bets but keeps focusing on cutting‑edge research and enablement.
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