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What do you think about data teams as bottlenecks? As in, the processes humans are following to do data engineering and AI/ML work

I’ve seen some practices by keepers of the medical data you mention (data vendors and providers), and trust me, there’s some serious work to do with DataOps in that space - which will serve to reduce bottlenecks in systems, and unlock more data to train on, responsibly

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