Enterprise data scientists are frustrated by the Sisyphean struggle to get the technology assets they require to build data models. But that’s hardly the only hurdle: Because these projects slow-cook in siloes, data science teams often duplicate efforts. It’s a maddening combination of requisitioning hell and redundancies.
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