Data quality has always been an afterthought. Teams spend months instrumenting a feature, building pipelines, and standing up dashboards, and only when a stakeholder flags a suspicious number does ...
Having spent more than a decade working in various AI roles for Amazon Web Services and Google, Dan Romuald Mbanga is well acquainted with the old adage, “Bad data in, bad data out.” It’s a tired ...
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