This talk will provide a practical overview of the state of production machine learning frameworks, tools and techniques that seem to have become a trend for the coming year. I will be mainly covering the open source tools and frameworks available in 2019 to help you expand your DataOps and MLOps infrastructure. This talk will cover the technologies available to support specifically around reproducibility, monitoring, compliance and orchestration of data and computations. I will present these technologies through the 8 principles of machine learning. Talk Name The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation and beyond About me Alejandro Saucedo is a technology leader with over 10 years of software development experience, he is currently the Chief Scientist at The Institute for Ethical AI & Machine Learning. Throughout his career, Alejandro has held technical leadership positins across hyper-growth scale-ups and tech giants including Eigen Technologies, Bloomberg LP and Hack Partners. Alejandro has a strong track record building multiple departments of machine learning engineers from scrath, and leading the delivery of numerous large-scale machine learnig systems across the financial, insurance, legal, transport, manufcturing and construcion sectors (in Europe, US and Latin America).