AWS for Industries

Harnessing the power of pLTE and AWS Cloud to optimize AMI 2.0 outcomes

AMI 2.0 has gained traction since the early 2020s, promising real-time insights, enhanced grid management, and demand response. By 2029, U.S. smart meter installations will reach 182.9 million, covering 94% of customers. However, AMI 2.0 isn’t just about meters, it demands high-bandwidth communication and scalable storage. A single meter now generates 1,440 data points daily, […]

Generative AI powered Virtual Data Rooms for Energy

Introduction National Oil Companies and Country Regulators can use Virtual Data Rooms (VDRs) to create multiple dedicated spaces for each participant in licensing and bidding rounds, offering robust tools for visualization, interpretation, and collaboration. Enhancing these VDRs with generative AI technology can transform how information is handled and analyzed throughout the process. The incorporation of […]

Maximizing seismic insights: how Petrobras uses S-Cube’s cloud native XWI solution built on AWS Graviton

Maximizing seismic insights: how Petrobras uses S-Cube’s cloud native XWI solution built on AWS Graviton

Introduction Seismic processing is a high-performance computing workflow to enhance, image, and understand subsurface structure. Modern high density 3D seismic data acquisition methods need 10-100 times more compute power for processing and imaging as compared to previous generation seismic acquisition methods. In return, geologists get improved geological resolution details such as thin beds, subtle faults, […]

Audi & Reply: Scaling a GenAI multi-agent devbot from Pilot to Production-Ready

In today’s fast-paced digital world, AUDI AG faces immense pressure to innovate rapidly. In 2023, the Audi Cloud Foundation Services (ACS) team, supported by Storm Reply, launched the first version of their generative AI chatbot solution. This solution was designed to reduce internal knowledge base retrieval time and improve employee productivity. For more details, see […]

Databricks modernizes healthcare data on AWS

This post is co-written with Rebecca Nissan, Sr. Delivery Solutions Engineer, Healthcare and Life Sciences, Field Engineering, Databricks. In today’s healthcare data-centric landscape, organizations face challenges (such as disparate data silos) across their electronic health records (EHRs), medical imaging, and other on-premises data warehouses. Healthcare data is growing at such a rapid rate that one […]

Transform Invoice Processing and Drive Innovation with Amazon Bedrock: A Holcim Success Story

Organizations across industries face the challenge of processing a substantial volume of invoices while maintaining accuracy and compliance. Holcim, a global leader in innovative and sustainable building solutions, tackled this challenge by developing an innovative solution using Amazon Bedrock that transformed their invoice processing operations.  The Challenge Holcim’s operations in one European country managed a […]

Building an AI Stack for Banking on AWS

Building an AI Stack for Banking on AWS

The banks who are delivering value from generative AI (gen AI) and machine learning (ML) investments are building AI stacks that are scalable and well governed. These stacks accelerate proofs-of-concept/proofs-of-value into production reliably so that business needs are met. Introduction There is a lot going on in banks related to both gen AI and more […]

AWS blog header NRF Asia Pacific 2025

Preview of AWS at National Retail Federation (NRF) 2025 Asia Pacific

We are thrilled to be joining the National Retail Federation (NRF) Big Show: Asia Pacific for its second year from June 3-5, 2025 in Singapore. This year’s theme, ‘Retail Unlimited,’ explores how technology can transform industries and elevate shopping experiences at every touchpoint. Together with Amazon Web Services (AWS), Amazon teams, and AWS Industry Partners, […]

Empowering ML Teams with Amazon Q Automotive Knowledge

A common challenge in implementing industry-specific predictive use cases is the disparity between data scientists’ expertise in technology and domain knowledge. Conversely, individuals with extensive business experience in a specific domain might lack proficiency in AI tools and technologies. This disparity hinders organizations’ ability to envision and develop machine learning (ML) models that can help […]

Battery Digital Twin: The Future of Battery Intelligence

As electric vehicle (EV) adoption continues to rise, battery analytics become crucial. The battery serves as the new engine, directly influencing the vehicle’s performance, reliability, and safety. Advanced battery analytics enable predictive maintenance, optimize battery lifespan, and predict unexpected failures by continuously monitoring key electrical, thermal, and performance parameters. Real-time data analysis enhances safety by […]