AWS for Industries
Category: Analytics
Sonrai reduced research timelines by 70% with AWS HealthOmics
Bioinformatics workflows, spanning from RNAseq to metabolomics, have become increasingly complex and data-intensive. For researchers in biotech and pharmaceutical industries, extracting meaningful insights from vast amounts of biological data is a daily challenge. Recognizing this, Sonrai, a frontrunner in precision medicine cloud technologies, set out to transform the landscape of large-scale bioinformatics analysis. We’ll discuss […]
Optimizing Fixed Income Consolidated Tape Performance: Latency Testing for Bond Market Data
In the fast-paced world of financial markets, every millisecond counts. For the (soon to be selected) Fixed Income Consolidated Tape Providers (CTP) that will begin operations in early 2026, it’s crucial to maintain low latency and high throughput to deliver timely and accurate pricing information. Bondtape Bondtape is a partnership between FINBOURNE Technology and Propellant.digital. […]
Generative AI Adoption in Automotive and Manufacturing: Key Technology Considerations
The automotive and manufacturing industries are undergoing another digital transformation, this time powered by artificial intelligence. From engineering workbenches to smart factories, Generative AI (Gen AI) is transforming how vehicles are designed, manufactured, and maintained. However, implementing production-grade AI applications requires more than just selecting the right models – it demands robust architecture, enterprise-grade security, […]
Equinox Builds a Scalable, Repeatable Architecture Using AWS IoT Services
With over 100 clubs globally, premium fitness company Equinox requires scalable, repeatable infrastructure that can support its integrated digital and physical experiences. Its connected experiences, which include competitive cycling classes, are a key offering that motivates its members to track and meet their fitness goals in a mobile app. However, delivering fitness insights in near […]
How to Implement MLOps for Industry 4.0
As automotive manufacturers look to optimize efficiency while maintaining product quality, we increasingly see companies turning to solutions based in artificial intelligence (AI) for process automation and optimization. The ultimate objective of such endeavors is to replace current labor-intensive and error-prone activities that require skilled operators—such as quality control, asset maintenance, and process optimization, among […]
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 […]
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 […]









