Production Data Science

Aqueduct: Taking Data Science to Production

As ML has become widely adopted, the next critical challenge for data teams is in generating value from data science & machine learning. Production data science infrastructure is the missing link that will enable data science and machine learning to succeed, by abstracting away low-level cloud infrastructure. Aqueduct is the world's first production data science platform; it enables data scientists to run models anywhere, publish predictions everywhere, and ensure prediction quality.

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MLOps: Right Problem, Wrong Solution

The fundamental problem with MLOps is that it mixes together tools for two very different concerns — (1) ensuring high-quality predictions and (2) deploying & managing cloud infrastructure. As a consequence, this requires data teams to have expertise in both data science and also in low-level cloud infrastructure.

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