Architecture
A comprehensive guide on integrating custom machine learning models into complex enterprise environments.
Damilola Manuel
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Don?t rip out the machine. Teach it.
Most enterprises do not need a new platform. They need a way to place custom models inside the systems they already trust ? the ledgers, the CRMs, the factory software that actually runs the business.
The work is architectural, not theatrical. It is about interfaces, permissions, latency budgets, and the unglamorous path from a notebook to a production endpoint.
Legacy as a constraint, not a curse
A comprehensive integration starts with the grain of the existing stack. When models respect those constraints, they scale. When they ignore them, they become another unused dashboard.
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