The bank offers its data scientists and engineers an extensive and continuous training ecosystem, both in-house and in partnershipwith top international universities and educational institutions,so that they may apply the latest advances in artificialintelligence, machine learning and advanced analytics in thedevelopment of cutting-edge financial products. In addition, italso offers training to other professional profiles so that they canuse data analytics to solve business challenges in their areas.In just 5 years, the BBVA Campus has trained more than50,000 employees, including 900 data scientists, through theData University.

BBVA uses AWS to deliver advanced analytics and data services in the cloud, taking a decisive step in its data and artificial intelligence (AI) transformation process. As part of its transformation into a data- and AI-driven organization, BBVA will use AWS to harness analytics and machine learning to transform its internal processes, improve risk management, drive growth, and provide innovative solutions for its customers.

The Mercury library stores the code that BBVA's data scientists reuse to develop analytical models embedded in a range of financial products. In line with the open source philosophy, the bank has published Mercury on Github, a code hosting platform for version control and collaboration. This means other programmers will be able to use Mercury code in their work, which will help drive fintech innovation and further evolve the library with contributions from the community.