AWS for Industries

Category: Compute

Transforming renewable asset development using Agentic AI

Transforming renewable asset development using Agentic AI

The renewable energy sector stands at a critical inflection point. After almost two decades of relatively flat electricity demand in the USA is set to increase by 25% until 2030, Meanwhile, over 90% of that demand will be covered by renewable additions. With global renewable power capacity projected to increase almost 4,600 GW between 2025 […]

DR Strategies for Connected Mobility Workloads, Part 1: Backup and Restore

DR Strategies for Connected Mobility Workloads, Part 1: Backup and Restore

Introduction Connected Mobility (CM) integrates vehicles, infrastructure, and data analytics to enhance user experience, safety, and reduce emissions. System resilience is critical as disruptions can cause: 1/direct customer impact on vehicle remote functions 2/brand reputation damage through negative publicity 3/manufacturing disruptions 4/revenue loss and legal consequences. Disaster Recovery (DR) is essential to prepare for natural […]

Nissan Collaborates with AWS to Accelerate SDV Development

Nissan Collaborates with AWS to Accelerate SDV Development

At AWS re:Invent 2025, Nissan Motor Co., Ltd. (Nissan) announced the Nissan Scalable Open Software Platform, built on AWS, that accelerates Software-Defined Vehicle (SDV) development. Nissan began collaborating with AWS in 2023 to modernize its global engineering environment, reduce development bottlenecks and support next-generation vehicle innovation. By migrating testing pipelines to AWS and standardizing development […]

From spec to production: a three-week drug discovery agent using Kiro

From spec to production: a three-week drug discovery agent using Kiro

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 […]

Accelerating Autonomous Network Optimization Agentic rApp as a Service Powered by AWS and Ericsson Intelligent Automation Platform

Accelerating Autonomous Network Optimization : Agentic rApp as a Service Powered by AWS and Ericsson Intelligent Automation Platform

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 […]

How Frontier Communications uses Amazon Bedrock to transform customer insights from call transcripts

How Frontier Communications uses Amazon Bedrock to transform customer insights from call transcripts

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 […]

How Angel One Built Post-Trade Reporting Platform on AWS

How Angel One Built Post-Trade Reporting Platform on AWS

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 […]

Architecting the Semantic MCP Server: Edge Deployment of Fine-Tuned SLMs to Solve the Data Ingestion Problem for Telco Operations

Architecting the Semantic MCP Server: Edge Deployment of Fine-Tuned SLMs to Solve the Data Ingestion Problem for Telco Operations

This post introduces the “Semantic MCP Server” pattern—a hybrid edge architecture designed to solve the “Data Gravity” problem in Telecommunications. It demonstrates how to reduce Cloud inference costs and ensure Data Sovereignty using Fine-Tuned Small Language Models (SLMs) deployed on AWS Outposts or AWS AI Factories. The Target Audience are Telecommunications Network Architects, MLOps Engineers, […]

Protecting Sensitive Data at Scale: Automated detection and remediation in a financial data lake

Protecting Sensitive Data at Scale: Automated detection and remediation in a financial data lake

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 […]

BMW Group unlocks insights from petabytes of data with agentic search on AWS

BMW Group unlocks insights from petabytes of data with agentic search on AWS

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 […]