Category: Amazon Machine Learning

Introduction The automotive industry continues to face challenges from the mounting complexity of software systems, with requirements encompassing functional needs such as electrification and autonomous driving alongside non-functional criteria such as performance and security. In our previous blog post, we explored how the framework of the Virtual Engineering Workbench (VEW), powered by AWS services and […]

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 […]

Introduction The advertising industry is experiencing an exciting transformation thanks to generative AI (GenAI) tools that are revolutionizing campaign creation, digital ad generation, and marketing asset localization. While these innovations present incredible opportunities to streamline workflows and boost creativity, many organizations are navigating questions about which tools to implement, how to effectively integrate them into […]

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 […]

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, […]

Introduction Several industries started to explore quantum computing on use cases such as: risk assessment for insurance companies, molecule behavior simulation for chemistry, and financial asset management in the finance industry. In general, physics, chemistry, cryptography, material science and optimization problems are the core application areas of quantum computing. Furthermore the telco landscape, which is […]

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 […]