Deutsche Bank is one of the world’s largest financial institutions with operations in 58 countries. It’s a universal bank with a rich heritage and operations across private and commercial banking, corporate and investment banking (CIB), and asset management (DWS). As an early adopter of data science, machine learning, and AI, the group-wide analytics function is trailblazing new ways to drive revenues, lower costs, and reduce risk across all areas of the group. John Allen shares how his team combines commercial offerings from vendors, such as Cloudera and Red Hat, with open source technologies, like Python and Kafka to revolutionize legacy processes and transform the way the bank uses technology to drive innovation. Discover how they have industrialized data science and advanced analytics across the group, embracing both experts and “citizen data scientists,” and helped Deutsche Bank become a leading data technology pioneer.