25What are the components of an ML platform, and why build one?▼hardUberNetflixDatabricks2 replies◆ premiumAn ML platform is the internal system that lets many teams build and ship models reliably. The signal is naming the components (data, features, training, registry, serving, monitoring) and arguing why standardizing beats per-team reinvention, plus when not to build.Open full answer →
46When does an ML platform make sense to build, and how do you design the paved path?▼hardDatabricksAWSUber1 replies◆ premiumA platform that no one uses is wasted headcount; a platform built too early is premature. The signal is justifying the investment by leverage and designing a paved path teams adopt willingly. Here is the framing.Open full answer →