Practices and Infrastructures for Machine Learning Systems: An Interview Study in Finnish Organizations

Abstract

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.