Category: AWS Lambda

Introduction Building production-ready agentic AI solutions can present significant challenges—from navigating complex architectures to establishing clear development patterns. The life sciences industry adds further complexity: strict regulations, diverse data modalities, and the variety of diseases all require additional time and specialized approaches. At AWS, we believe there’s a better path forward. AWS continues to invest […]

Ericsson rApp as a Service – Redefining Network Optimization with Agentic AI The future of telecom networks is autonomous, intelligent, and cloud driven. Ericsson and AWS are taking a significant leap forward by introducing Ericsson rApp as a Service (rApp aaS), a pioneering solution designed to accelerate the journey towards autonomous networks for Communication Service […]

Introduction Frontier Communications is the largest pure-play fiber provider in the United States with 3.2 million broadband subscribers across 25 states and over 12,000 employees. The Retention & Loyalty group ensure our customers remain delighted by optimizing the customer journey, reducing churn, and improving Lifetime Value (LTV). As data scientists, we use the Amazon Web […]

Modernizing legacy financial systems for regulatory compliance requires careful architectural planning and proven cloud solutions. This post shows you how Angel One transformed a fragile, stored-procedure-driven back office into a cloud-native, auditable system on AWS. You’ll learn the architecture, challenges, and results of building a post-trade reporting platform that processes 30 million records daily while […]

Introduction Financial institutions face a critical challenge: protecting sensitive data at scale while enabling innovation. This post provides guidance for detecting and processing sensitive data within your financial data lake on AWS, helping you maintain compliance without sacrificing agility. Data lakes have grown exponentially in the financial services industry, fueled by cloud computing. Cloud offers […]

The BMW Group, headquartered in Munich, Germany, employs 159,000 people across more than 30 production and assembly facilities in 15 countries. As an automotive innovation leader, BMW Group has been working to stay at the forefront of digital transformation by using data and artificial intelligence (AI). In 2020, BMW Group launched the Cloud Data Hub […]

In this blog post, we will learn about how AUMOVIO used the services and expertise of Amazon Web Services (AWS) to develop an innovative automotive coding assistant on the domain of software-defined vehicles (SDV). AUMOVIO’s solution makes use of multiple AI models to accelerate different development lifecycle steps while helping to ensure alignment with automotive […]

Introduction to Modern Payment landscape The rapid evolution of digital payments has fundamentally transformed how businesses handle financial transactions, with payment processors becoming essential partners in this transformation. Modern payment processors provide the foundational infrastructure that handles the complexities of payment processing, compliance, and global payment methods. When this infrastructure integrates with AWS cloud services, […]

Treating complex patients can be difficult. The ability to see how other patients with similar symptoms or conditions were treated and what their outcomes were can help clinicians better understand how to approach their own patients. Traditional search, however, falls short for nuanced clinical care scenarios (for example, post-Norwood arrhythmias responsive to alternative pacing). Clinicians […]

As the energy landscape evolves toward a more distributed model, distributed energy resources (DERs) bring not only challenges, but also opportunities to different players in the energy market (utilities, legislators, aggregators, consumers, and service providers). We have planned a series of blogs discussing how different stakeholders can use Amazon Web Services (AWS) to make the […]