Category: AWS Lambda

Introduction The luxury e-commerce landscape demands meticulous attention to detail in product presentation. That expectation is likely to intensify as the sector continues to grow over the next decade. According to FortuneBusinessInsights.com, the global luxury goods market size is anticipated to grow to USD 392.40 billion by 2030. Every pattern, from subtle pinstripes to elaborate […]

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, […]

In an era of increasing digital transformation, electric utility providers are facing unprecedented challenges in meeting customer expectations for quick, efficient, and accessible service. Utility contact centers in particular face unique challenges in delivering effective customer service. Traditional Interactive Voice Response (IVR) systems can effectively handle direct, well-defined requests through touch-tone or basic voice commands, […]

Medical coding is a vital, yet intricate, process in the healthcare industry—it ensures accurate reimbursement for services rendered and is necessary for compliance with regulatory guidelines. However, traditional manual coding methods can be time-consuming, error-prone, and resource-intensive, leading to inefficiencies, bad outcomes, and potential revenue losses. With healthcare organizations processing thousands of patient encounters daily, […]

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 […]

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 […]

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 […]

Opportunities for telecoms with small language models (SLMs) explored how telecom operators can use SLMs deployed on Customer Premises Equipment (CPE) and Internet of Things (IoT) devices to enable autonomous environments and handle routine information requests. Subsequently, in Distributed inference with collaborative AI agents for telco-powered smart-X, we further explored the spectrum of distributed computing locations […]

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 […]

The healthcare industry faces mounting challenges—workforce shortages, clinical burnout, and a rise in chronic conditions. Additionally, monitoring patients post-discharge (ensuring treatment plan adherence and preventing readmissions) are resource-intensive tasks that drive up costs and can be prone to error. New remote patient monitoring technologies can play a crucial role in addressing these challenges. With 90 […]