Financial Services Resources
Explore the Financial Services Resource Hub for the latest news, content, and events for Financial Services organizations.
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Read the latest news about how Financial Services organizations are working with AWS
eBooks & Whitepapers
Deep-dive our eBooks and whitepapers for industry insights and best practices from AWS experts
A cloud-native approach is becoming the baseline for a competitive bank. This paper considers the need for a digital-first approach to banking and why GFT has created BankLiteX. It explains how GFT has harnessed the power of Amazon Web Services (AWS) technologies and Thought Machine’s Vault to build a world-class banking platform for the digital age. BankLiteX offers a framework built on well-architected best practices validated by AWS to deliver functionality through modular ‘blocks’ that accelerate development, testing and deployment by 40%.
This whitepaper highlights how Oliver Wyman, an AWS Partner, is collaborating with Amazon Web Services (AWS) to combine strategy expertise, industry capabilities, and deep technical knowledge. Together, we have developed a robust methodology to help financial services institutions evaluate, prioritize, and communicate their technology investments. Our Net Technology Investment Value (NTIV) is a comprehensive approach for measuring the business value of technology investments, factoring in profitability, productivity, operational efficiency gains, and consumer value.
Based on feedback from customers running workloads in a highly regulated environment, AWS recently published a whitepaper that outlines security and model governance considerations for financial institutions using ML applications. It illustrates how financial institutions can create a secure machine learning environment on AWS and use best practices in model governance based on the firm’s risk tolerance, integration with existing governance, and regulatory expectations.
Leading financial services institutions are embracing cloud to both solve infrastructure needs in new ways and create new experiences customers love. In this eBook, industry leaders share how they are navigating the technology and the organizational changes required.
This whitepaper describes the Financial Services Industry Lens for the AWS Well-Architected Framework. It has been developed to help cloud architects build secure, high-performing, resilient, and efficient infrastructure for their applications. Based on five pillars — operational excellence, security, reliability, performance efficiency, and cost optimization — the framework provides a consistent approach for financial institutions to evaluate architectures and implement designs that will scale over time.
Learn how financial services customers can scale and innovate while maintaining a secure environment. This guide includes an overview of AWS’ security capabilities and services that can help you meet your security and regulatory requirements; the definition of the AWS Shared Responsibility Model; and a comprehensive list of our security and compliance resources and customer stories.
This whitepaper describes AWS physical and operational security processes for the network and server infrastructure under the management of AWS.
Ransomware is evolving, but so can your security awareness and preparedness. Using the AWS services and best practices shared in this eBook, you can take proactive measures to reduce the likelihood and impact of ransomware in your AWS environments.
Resilient applications provide continuous service despite disruption. This whitepaper discusses the fundamental design patterns to build highly resilient applications for financial institutions on AWS and to meet mission-critical application recovery requirements.
This whitepaper describes how financial services customers can achieve operational resilience using AWS services. The whitepaper describes the AWS global infrastructure and how we build to withstand failures.
Business continuity depends on the efficient, uninterrupted flow of data across an organization. This eBook shows how you can leverage AWS storage services. CloudEndure Disaster Recovery enables businesses to achieve rapid recovery objectives for critical IT systems without incurring the infrastructure expense of a secondary physical site.
This eBook provides business executives with a framework to leverage artificial intelligence and machine learning for a competitive edge alongside financial services success stories. It also includes the AWS portfolio of services to guide your developers – from the most to the least technical solutions – in implementing AI/ML to solve your business problems.
Read these customer stories to discover how financial institutions use machine learning to enforce compliance at scale and detect fraud in real time when using AWS cloud services.
Discover how Capital Markets firms are working with AWS to accelerate their speed to market, strengthen security, enrich customer experiences, and make better data-driven decisions.
Insurers are using AWS to quickly launch new digital customer experiences, modernize or put in place more agile core systems, leverage data to take new approaches to identifying risk, and respond to regulatory changes with the responsiveness of a nimble start up.
Columbia Insurance has built a cloud-based agent portal to support quoting, straight-through processing, and streamlined application submission for small businesses. The project resulted in 60% growth of average written premium per policy, reduced average quote time by 46%, and increased portal use 310%.
The Hartford migrated its Global Specialty unit’s business infrastructure to the cloud, including 90 applications, 16 services, and six databases. The project was completed in nine months and allowed three data centers to be retired, saving 10-15% in infrastructure costs.
Liberty Mutual rebuilt its large commercial property rating, modeling, and pricing processes, moving to a modern cloud environment. Completed in 18 months, the new platform grew gross written premium by 25%, with profit 60% above plan, and reduced premium calculation from 12 hours to ten minutes.
Nationwide built a tool to collect and analyze external annuity market data. Completed in nine months, the tool can analyze trends, access competitor product filings, and create dashboards and real-time product alerts, improving operational efficiency and saving 900 hours a year spent compiling data.
State Auto deployed a machine-learning-powered claims fraud detection solution. Deployed in four months, the solution enabled the company to process 83% more claims, detect fraud three days sooner in the claims cycle, and catch 20% of the claims that would have previously gone unflagged.