MetLife is transforming data science and analytics with open source technologies. This transition involves balancing the disciplines of software engineering with the experimental nature of data science. Adoption of best practices and developing sound solutions requires architectural, technical, and cultural changes.
In this session, Alex Chien and Anu Miller will talk about the opportunities and challenges of leveraging open source technologies to support an enterprise data science practice. They will share how MetLife is establishing best practices for model development, maintenance, and deployment and explain what is needed organizationally to support this effort.