What Machine Learning Can Learn from DevOps

The fact that machine learning development focuses on hyperparameter tuning and data pipelines does not mean that we need to reinvent the wheel or look for a completely new way. According to Thiago de Faria, DevOps lays a strong foundation: culture change to support experimentation, continuous evaluation, sharing, abstraction layers, observability, and working in products and services. Thiago de Faria, DataOps and AI lead at LINKIT, spoke about AI with a DevOps mindset at Codemotion Berlin 2018. InfoQ is covering this conference with Q&A, summaries, and articles. Developing apps with if/elses, loops and deterministic functions encapsulate the vast majority of cases in the industry.