金融サービスでの導入事例

Goldman Sachs builds on Amazon Web Services (AWS) to help advance its business and accelerate innovation for its customers. Using the cloud, Goldman Sachs has transformed the way it operates internally—from automated digital forensics to digital supply chain and procurement—and externally by serving customers through innovations such as the Goldman Sachs Financial Cloud for Data, which is a suite of cloud-based data and analytics solutions for financial institutions that integrates with AWS Data Exchange. It helps financial institutions securely integrate data alongside Goldman Sachs’s curated financial markets data to improve decision making.

With ML on AWS, Perfios analyzes bank statements in more than 200 formats and processes loan applications in just 35 minutes. Perfios enables lenders to automate customer onboarding, decisioning, risk pricing, and fulfillment using its Data Analytics and Aggregation platform. The FinTech is using Amazon Textract to extract and categorize data from bank statements and Amazon SageMaker to score applications.

Financial advisor Betterment was searching for a reliable record retention solution to replace its existing third-party solution, while helping it meet regulatory requirements. AWS provided them with a cost-effective solution.

Regional property and casualty insurer State Auto built a cloud-native application on AWS that fosters a culture of innovation and improves the user experience for insurance agents and insureds.

Moneytree KK integrated third-party billing and reduced costs through AWS Marketplace private offers. Now, it can focus on engineering and product design.

Fintech company Banco Inter S.A. needed to identify consumer demands. By adapting software on AWS Marketplace in 2020, it improved its Net Promoter Score and is now serving 13 million customers.

When global trading platform provider Trading Point was looking for a way to improve scalability, security, and efficiency—as well as find the best way to expand its operations to the US—it turned to Amazon Web Services (AWS).

Better use of data is changing how health systems are operated and how healthcare is delivered. During the pandemic, EMIS Group created real-time COVID-19 dashboards to provide doctors and policy makers with insights into symptoms and infection numbers. Its systems mean doctors and researchers can run analytics from anywhere with a web connection on a massive health database of 1.3 trillion entries—and can do so with the highest levels of security and regulatory compliance.

With more than 1.4 million customers in Australia and New Zealand, nib Group (nib) is shaking up the health insurance sector by leveraging machine learning innovations to respond to members faster and with greater efficiency. As a result of Amazon Textract, nib has shaved 20 seconds off each claim processed – with data extraction accuracy as high as 95%. Meanwhile, thanks to Amazon Lex and Amazon Kendra, the company’s chatbot nibby is achieving self-service rates of 65%, deflecting just 35% of chat-based enquiries to the company’s contact centres.