Posts in category "ai"

Software development succeeds 4 out of 5 times. Data science succeeds 1 out of 5. That difference is not a quality problem — it is a fundamental difference in the nature of the work. DS follows the academic research model: hypothesis, experiment, documented failure, iterate.

The standard SDLC model breaks for data science because model training requires production data. Here is a five-stage promotion framework that resolves the conflict between data scientist flexibility and production security controls.