AWS for Industries
Category: AWS Step Functions
How Volkswagen and AWS built end-to-end MLOps for Digital Production Platform
Background In 2019, Volkswagen AG (VW) and Amazon Web Services (AWS) formed a strategic collaboration to develop the Digital Production Platform (DPP), designed to enhance VW production and logistics efficiency by up to 30 percent while reducing production costs by the same margin. The DPP streamlines data access from VW shop-floor devices and manufacturing systems, […]
Accelerating generator interconnection study with serverless workflow and elastic HPC
The rapid growth of clean energy, propelled by cost reduction and decarbonization efforts, has placed significant strain on the existing power grid infrastructure. As more solar, wind, and other distributed energy resources seek to interconnect to the grid, the process of generator interconnection has become increasingly complex and challenging. Outdated grid planning processes, lengthy interconnection […]
Automated networking with shared VPCs at Swisscom
How do enterprises efficiently manage networking across hundreds of cloud accounts while maintaining security, reducing costs, and minimizing operational overhead? As organizations such as Swisscom adopt Amazon Web Services (AWS), they face the complex challenge of implementing scalable, automated networking solutions that break away from traditional high-touch, manual approaches. When Swisscom, Switzerland’s leading telecom provider, […]
Weather-based photovoltaic monitoring: how BDPV scales on AWS
ASSO BDPV, a French non-profit organization, has developed an AWS-powered platform that monitors over 3,000 solar installations in near real-time, combining advanced weather data and sophisticated algorithms to optimize solar energy production for small-scale producers.
Simplify Monte Carlo Simulations with AWS Serverless services
Learn how to execute Monte Carlo Simulations and Machine Learning data processing at any scale with AWS Step Functions Distributed Map and AWS Lambda. Organizations across the financial services industry including those providing insurance products rely on Monte Carlo simulations and machine learning feature engineering processes for product development and risk analysis. These processes often […]
Your telecom cloud journey on AWS: Part 3 – Optimizing cloud operations on AWS for telecom excellence
Introduction In “Your Telecom Cloud Journey on AWS: Part 1 – Establishing a Foundation” and “Accelerating Your Telecom Cloud Journey: A Technical Roadmap with AWS” we covered the transformation journey that many Telcos are embarking on when running complex and critical Telco workloads on AWS. Once a cloud foundation is established and workloads are running […]
Gentrack helps utilities cut meter data processing time by 25% on AWS
The global utilities industry is undergoing a major transformation today. According to Gentrack, which provides software and services for the global utilities sector, utilities are facing growing pressure to reduce costs, become more profitable, and offer a better customer experience. At the same time, smart meters are rolling out worldwide, frequently recording and sending electricity […]
Underwriting at the speed of cloud – How life insurers can optimize underwriting using AWS
Life insurance underwriting is poised for significant transformation, driven by increasing customer expectations and enabled by the growing sophistication of technologies like data analytics, wearables, artificial intelligence (AI), and Generative AI. Modern insurers are leveraging these technologies to optimize their end-to-end underwriting processes. This article discusses the opportunity space and how AWS services facilitate substantial […]
Orchestrating Clinical Generative AI Workflows Using AWS Step Functions
In the rapidly evolving field of healthcare, leveraging generative AI has the potential to revolutionize patient care and streamline clinical processes. However, orchestrating these complex workflows while ensuring data security and compliance with regulations, such as HIPAA, can be challenging. A common pattern involves starting with the source data, choosing a generative AI model, and […]
Serverless self-service portal for running engineering applications with on-premises software licensing
Background: Energy companies are seeking methods to run engineering software in the cloud, especially those that need a significant amount of computing and storage resources in short periods of time to bring about simulation capacity instantaneously and reduce project turnaround (for example, Florida-based utility runs PROMOD, Siemens Simcenter customers run CFD, Ansys LS-DYNA customers run […]