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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.
Mortgage Advice Bureau (MAB) is an established, multi-award winning, UK mortgage intermediary that provides advice, both through its own branded brokers and through other brokers. It processes about 12,000 mortgages a month and receives around 400 complaints per year. Those complaints, however, are a serious matter, because MAB is regulated by the UK’s Financial Conduct Authority (FCA), whose Financial Ombudsman is the last resort for disputes. MAB wanted to ensure that it could resolve complaints in a timely manner and before they were escalated to the Financial Ombudsman. It engaged AWS Partner BJSS to help build a solution using AI on Amazon Web Services (AWS) to speed up the processing of complaints, reducing initial response times by 75 percent.
Bolsa de Productos de Chile had to manually review up to 2,000 invoices per day, proving to be too much to handle which could also cause errors. They partnered up with AWS Partner Morris & Opazo and Amazon Web Services (AWS) to help implement an generative AI-powered solution called Puerto X Monitor to automate invoice validation and reduce operational risk. The results featured a reduced need for large teams of industry experts as well as improved risk management and help to validate over 1 million invoices to date.
Q2, Inc., a financial experience company, partnered with AWS Partner Presidio to migrate its largest revenue-generating digital banking product to AWS, avoiding a costly on-premises hardware investment. Q2 set an ambitious goal to decrease costs by 25% to better serve each customer. The AWS migration would prove integral to achieving this goal. To satisfy a tight timeline and rigid uptime requirements, Presidio developed an automated, parallel migration platform called “Q2 Migration Manager” (Q2MM) to accelerate the project.
One of the big four banks in Australia, National Australia Bank (NAB) provides retail banking services to more than 10 million customers and is the largest business lender in the country.
Organizations of all sizes across all industries are transforming their businesses and delivering on their missions every day using AWS. Contact our experts and start your own AWS journey today.
