Customer Stories / Financial Services
Nomura Improves Developer Efficiency Building on AWS
Learn how Nomura improved developer efficiency using AWS DeepRacer and artificial intelligence and machine learning on AWS.
Nomura is a global investment bank that has been on a cloud adoption journey on Amazon Web Services (AWS) since 2019. In this video, Murali Kaundinya, managing director and head of Software Engineering, shares how Nomura used AWS DeepRacer events—a hands-on machine learning experience through a cloud-based 3D racing simulator—to help developers innovate by applying artificial intelligence (AI) and machine learning (ML) in an engaging way. By using a cloud-first strategy, Nomura is able to better manage risks and vulnerabilities associated with legacy applications. Nomura is also exploring generative AI use cases on AWS and collaborating with AWS Partners to understand how these capabilities can assist in creating a seamless customer experience.
AWS Services Used
AWS DeepRacer
AWS DeepRacer gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique that takes a very different approach to training models than other machine learning methods. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.
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North America
Modernizing Clearing Infrastructure Using AWS Countdown with M1 Finance
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Speeding Up Security Forensics by 97.5% Using AWS Step Functions with OneMain Financial
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Deriv Boosts Productivity and Reduces Onboarding Time by 45% with Amazon Q Business
Deriv, one of the world’s largest online brokers, faced challenges accessing vast amounts of data spread across various platforms. It turned to AWS for help and adopted Amazon Q Business, a generative artificial intelligence (AI) tool, to retrieve and process data from multiple sources. By setting up connections to Slack, Google Docs, Google Drive, Web Crawler, and GitHub, Amazon Q Business quickly became integral across departments, including customer support, marketing, content creation, and recruiting. By leveraging Amazon Q Business, Deriv reduced the time spent onboarding new hires by 45 percent, minimized recruiting task times by 50 percent, and dramatically streamlined campaign management for marketing teams.
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