AWS for Industries
Category: Analytics
Solution for Responding to DCA Complaints for Motor Finance Using AWS Services
The UK motor finance industry faces Complex challenges following the Financial Conduct Authority’s (FCA) review of Discretionary Commission Arrangements (DCA). Financial institutions must now analyze historical lending data, calculate accurate redress amounts, and manage customer communications effectively, all while working with fragmented data sets and tight regulatory deadlines. In this post, we’ll explore how AWS […]
Revolutionizing telecom revenue assurance: the AWS AI-driven framework for next-generation solutions
Revenue assurance (RA) is critical in the telecom industry, traditionally monitoring financial transactions such as CDR validation, billing verification, and settlement reconciliation to make sure of accurate revenue streams. Despite these practices, telecom operators face significant operational inefficiencies, with traditional RA processes limited to sampling small portions of transactions and achieving partial recovery rates due […]
Enhance predictive maintenance with generative AI agents on AWS
In today’s complex industrial environments, predictive maintenance remains a key challenge for Energy, Utilities, and Manufacturing sectors. Traditional anomaly detection methods are labor-intensive and time-consuming, often leaving critical equipment vulnerabilities unaddressed for hours or days—leading to significant unplanned downtime and financial impact. McKinsey estimates mid-size refineries lose $20–50 million annually due to reliability issues. Typical […]
GenAI in Factor Modeling Data Pipelines: A Hedge Fund Workflow on AWS
Introduction Factor modeling in hedge funds is a quantitative approach that identifies and analyzes key drivers of asset returns. It lets fund managers to optimize portfolios, manage risk, and generate alpha by leveraging vast amounts of market data. This technique facilitates the development of sophisticated trading strategies, enhancing investment performance and providing a competitive edge […]
Smarter operations and faster decisions in Energy: enabled by a cloud-based historian
Introduction: data modernization challenges and on-premises solutions in the power industry In the power industry, modernizing data infrastructure is especially challenging due to strict cybersecurity mandates, data residency rules, and the need for real-time reliability. Furthermore, energy systems are inherently hybrid. They rely on a distributed patchwork of OEMs, protocols, and on-premises infrastructure, often in […]
How Mastercard Achieved Near-Zero Downtime Deployments for Fraud Detection
Introduction Mastercard’s AI-powered real-time fraud prevention platform, Brighterion, has been delivering advanced fraud detection and risk management solutions to enterprise customers for over 20 years. Trusted by more than 2,000 clients worldwide, including 74 of the top 100 U.S. banks, Mastercard’s Brighterion AI platform scores over 150 billion transactions annually, helping organizations prevent fraud while […]
Building a multi-tenant FHIR server with AWS HealthLake
In today’s rapidly evolving healthcare technology landscape, managing patient data securely and efficiently is crucial. We’ll explore the implementation of multi-tenant FHIR (Fast Healthcare Interoperability Resources) solutions using Amazon Web Services (AWS) HealthLake, a robust service for healthcare organizations seeking to scale their data management capabilities. Defining key terms We will be diving into technical […]
Genentech reimagines insights from unstructured data using generative Artificial Intelligence
The Commercial, Medical, and Government Affairs (CMG) team of Genentech, a member of the Roche Group, partners across the healthcare system to deliver better health outcomes and equitable access for patients. This team was looking to leverage rich unstructured data at scale, across various formats/modalities such as text, PDFs, PowerPoint slides, images, videos, and audio […]
Harnessing the power of pLTE and AWS Cloud to optimize AMI 2.0 outcomes
AMI 2.0 has gained traction since the early 2020s, promising real-time insights, enhanced grid management, and demand response. By 2029, U.S. smart meter installations will reach 182.9 million, covering 94% of customers. However, AMI 2.0 isn’t just about meters, it demands high-bandwidth communication and scalable storage. A single meter now generates 1,440 data points daily, […]
Audi & Reply: Scaling a GenAI multi-agent devbot from Pilot to Production-Ready
In today’s fast-paced digital world, AUDI AG faces immense pressure to innovate rapidly. In 2023, the Audi Cloud Foundation Services (ACS) team, supported by Storm Reply, launched the first version of their generative AI chatbot solution. This solution was designed to reduce internal knowledge base retrieval time and improve employee productivity. For more details, see […]