Case Study: Digital Reasoning

Learn more about how Pachyderm and Kubernetes aided a group of Digital Reasoning developers in building a scalable, repeatable, and explainable data science pipelines in a single day.

Digital Reasoning is a communication analytics company that uses machine learning and AI to help its customers address some of the world’s toughest challenges. With customers ranging from law enforcement and intelligence agencies to leading healthcare institutes and top financial firms, the company uses data and powerful machine learning models to uncover fraud, detect cancer, and combat human trafficking. As they set out to explore what a next-generation architecture might look like to address its clients’ complex, high-stakes needs, Digital Reasoning explored Pachyderm to see how version-controlled data and containerized data pipelines would help them achieve explainable, repeatable, scalable data science.