By the end of 2020, Singapore’s DBS Bank is to equip at least 3,000 employees with skills in artificial intelligence and machine learning by teaming up with Amazon Web Services (AWS). Even senior leadership also needs to take up the skills of AI and ML.
The participants in DBS x AWS DeepRacer League will pick up ML coding skills. This will help the participants to program their own AWS DeepRacer autonomous vehicles. Employees can experiment and fine-tune their models when the ML models will be uploaded onto a virtual racing environment as they engage each other in friendly competition.
AWS DeepRacer vehicles are built using Amazon Sagemaker and they are cloud-based, fully autonomous 1/18th scale race cars. AWS DeepRacer vehicles are powered by reinforcement learning which is an advanced ML technique that is ideally suited to autonomous driving.
As part of DBS’s drive to ingrain digital learning behaviors among employees, the DBS x AWS DeepRacer League will be run completely online. Even when the employees are not physically in the office, it is essential to upgrade their skills and pick up new knowledge. To scale up digital learning tools and platforms, this comes on the back of DBS’s efforts.
As per Paul Cobban, chief data and transformation officer at DBS, there is a need to stay ahead of the technology curve to continue exceeding customers’ expectations is necessary as a technology company that provides banking services. The company does not believe in limiting digital expertise to a small team. Employees can run alongside together with the company when they advance on digital transformation and that is possible by democratizing technology skillsets among all employees.
By being in line with the ethos of keeping work and learning fun, the company decided to adopt a different approach from previous digital and data skills revolutions. The AWS DeepRacer League platform presented the perfect opportunity to introduce gamification elements to better engage the employees. There were other AWS DeepRacer Leagues that have been organized before.
DBS digitalized and simplified end-to-end credit processing using data analytics and ML in 2019. To provide accurate self-service digital options to its retail customers, the company deployed an AI-powered engine.
