AWS for Industries
Category: Amazon Simple Storage Service (S3)
Enhance predictive maintenance with generative AI agents on AWS
In today’s complex industrial environments, predictive maintenance remains a key challenge for Energy, Utilities, and Manufacturing sectors. Traditional anomaly detection methods are labor-intensive and time-consuming, often leaving critical equipment vulnerabilities unaddressed for hours or days—leading to significant unplanned downtime and financial impact. McKinsey estimates mid-size refineries lose $20–50 million annually due to reliability issues. Typical […]
GenAI in Factor Modeling Data Pipelines: A Hedge Fund Workflow on AWS
Introduction Factor modeling in hedge funds is a quantitative approach that identifies and analyzes key drivers of asset returns. It lets fund managers to optimize portfolios, manage risk, and generate alpha by leveraging vast amounts of market data. This technique facilitates the development of sophisticated trading strategies, enhancing investment performance and providing a competitive edge […]
Modernizing Telecom Mainframes: How AWS and Astadia Are Powering the Digital Network of the Future
Building on our previous exploration of AWS Mainframe Modernization for the telecommunications industry, we now turn our focus to a powerful partnership that’s revolutionizing the modernization journey for telcos. In this blog post, we delve into how AWS and Astadia, an Amdocs Company, are joining forces to provide a comprehensive, automated solution for mainframe modernization […]
Smarter operations and faster decisions in Energy: enabled by a cloud-based historian
Introduction: data modernization challenges and on-premises solutions in the power industry In the power industry, modernizing data infrastructure is especially challenging due to strict cybersecurity mandates, data residency rules, and the need for real-time reliability. Furthermore, energy systems are inherently hybrid. They rely on a distributed patchwork of OEMs, protocols, and on-premises infrastructure, often in […]
How Mastercard Achieved Near-Zero Downtime Deployments for Fraud Detection
Introduction Mastercard’s AI-powered real-time fraud prevention platform, Brighterion, has been delivering advanced fraud detection and risk management solutions to enterprise customers for over 20 years. Trusted by more than 2,000 clients worldwide, including 74 of the top 100 U.S. banks, Mastercard’s Brighterion AI platform scores over 150 billion transactions annually, helping organizations prevent fraud while […]
Genentech reimagines insights from unstructured data using generative Artificial Intelligence
The Commercial, Medical, and Government Affairs (CMG) team of Genentech, a member of the Roche Group, partners across the healthcare system to deliver better health outcomes and equitable access for patients. This team was looking to leverage rich unstructured data at scale, across various formats/modalities such as text, PDFs, PowerPoint slides, images, videos, and audio […]
Cost Optimization for Healthcare on AWS
The healthcare industry is increasingly migrating to the cloud to enhance service delivery, ensure compliance, and improve patient outcomes. However, managing cloud costs effectively is crucial to maximize the value of these investments. Healthcare applications often have unique requirements that make them challenging to refactor into serverless or containerized architectures. These applications may have dependencies […]
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
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, […]
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 […]