Category: Financial Services

In the financial services industry, detecting fraud is a complex process. For any given transaction or activity, the system needs to decide whether it’s fraudulent or not and take action within seconds. With Redis Enterprise Cloud‘s sub-millisecond latency speeds, up to five 9’s of availability, linear scalability, and multiple data model support coupled with the global cloud infrastructure support of AWS, organizations can benefit from building a real-time fraud detection system to manage and control fraud.

AWS Partners represent a variety of geographies, backgrounds, and interests. With a network so widespread, AWS collaborates with businesses that excel in providing value-added services to customers from varied industries, including healthcare and life sciences, travel and hospitality, financial services, energy and utilities, media and entertainment, automotive, education, and more. Our industry-focused approach leverages specialized expertise and purpose-built solutions to help partners transform with AWS and solve the challenges facing various markets.

As BJSS demonstrates in this post, hosting a trading platform for a major market in the cloud has long been technically feasible, and the last four years have only solidified the argument for migration of trading systems to cloud infrastructure. The study BJSS performed should be used as confirmation of cloud capabilities by those weighing the cost and opportunity of a transition. Early adopters of cloud services have benefited from the advantages of improved resiliency, scalability, security, and flexibility.

Usage-based insurance (UBI) programs are supported by telematics and collect data about vehicle usage and driving behaviors, including speeding, harsh braking, and acceleration. Learn about a vehicle telematics solution from Globe Cascadeo and how it can be leveraged by insurers and drivers for usage-based insurance. This post also covers the benefits and tradeoffs of UBI and touch upon other potential use cases for this solution.

As with most industry segments, financial services are experiencing a shift towards the software-as-a-service business and delivery model. Explore how partnering with the AWS SaaS Factory team, Prometeia created a new platform as a SaaS solution on AWS. Prometeia is a leading provider of advisory services, tech solutions, and research insights. A unique combination of skills has made Prometeia a leading European company for risk and wealth management solutions, as well as services for institutional investors.

FinConecta is an AWS Partner which knows that in the new financial landscape, connectivity and interoperability of systems raise great challenges for those who want to remain relevant. Therefore, its API cloud-based platform, Open Finance Sandbox, is designed to streamline the adoption of new technologies for different players across industries. Dive deep on the platform’s main characteristics and learn how it can accelerate digital transformation in the financial industry.

As the adoption of Amazon EKS for running Kubernetes clusters grows, customers are seeking ways to better understand and control their costs. To address these customer needs and shed more light on EKS costs, AWS has collaborated with Anodot, an AWS Partner that uses machine learning to autonomously monitor and alert on costs in near real time, and provides recommendations to help customers quickly resolve cost anomalies.

Learn how Amazon FinSpace, a data management and analytics service purpose-built to help solve these challenges for the financial services industry, and our AWS Partners have developed business-ready platforms that map to the needs of industry analysts, data scientists, quants, and asset managers. These validated AWS Partners accelerate deployment with ready-made frameworks for specific sub-sectoral business cases using Amazon FinSpace.

Platea Banking is a digital banking solution developed by NTT DATA to be used by clients as an accelerator in their modernization journeys, especially when creating a new banking platform. It’s positioned as a modernization vehicle that provides a ready-to-go digital infrastructure and architecture over both internal and external components as core. Platea includes pre-built functional modules and integrations with a third-party ecosystem, with Mambu at its heart as a core engine.

Infusing machine learning into core business processes such as credit scoring creates a competitive edge for banks and financial services institutions. It does not require a data science team, expertise, or platform rollout. Explore an ML-based credit-decisioning model built by ElectrifAi in collaboration with AWS whose model rapidly determines the creditworthiness of a SME, and data-driven, actionable insights reduce the overall processing cost and are consistent and free from any potential human biases.