Securian Financial’s Technology Innovation Lab hosted an Amazon Web Services (AWS) DeepRacer event recently to help employees learn how to apply machine learning to business use cases.
Machine learning is a subset of artificial intelligence that enables computers to learn through experience.
Securian Financial already leverages machine learning in a variety of ways. For example, machine learning models may be embedded in the technology tools and platforms we purchase, while other models may be developed and trained by Securian. Ultimately, machine learning will enable higher levels of automation and increase our operational efficiencies.
“Artificial intelligence and machine learning will have many different applications at Securian Financial, including understanding handwritten text and fraud detection,” says Tammy Quant, senior director of the Technology Innovation Lab. “We also envision using machine learning to create predictive models to improve our customers’ experiences.”
The Technology Innovation Lab is where Securian Financial tests emerging technologies and builds new capabilities concepts for digital businesses. This includes technology like blockchain, artificial intelligence, machine learning and other cutting-edge technology. The Lab brought AWS DeepRacer to Securian to help prepare for future uses cases involving machine learning.
What’s AWS DeepRacer?
AWS DeepRacer is an autonomous model-sized race car. It takes machine learning one step further by testing reinforcement learning models (a machine learning technique) on a 26-foot race track.
Teams of developers and data scientists “train” the car in a cloud-based simulated environment by reinforcing desired behavior. Cameras on the car view the track, and a reinforcement model controls the throttle and steering.