Practices and Infrastructures for ML Systems -- An Interview Study in
Using interviews, we investigated the practices and toolchains for
machine learning (ML)-enabled systems from 16 organizations across
various domains in Finland. We observed some well- established
artificial intelligence engineering approaches, but practices and tools
are still needed for the testing and monitoring of ML-enabled systems.