AWS for Industries

Category: AWS Identity and Access Management (IAM)

The Smart Stylist: How A Luxury Retailer Mastered Automated Product Style Attribution Using Generative AI

The Smart Stylist: How A Luxury Retailer Mastered Automated Product Style Attribution Using Generative AI

Introduction The luxury e-commerce landscape demands meticulous attention to detail in product presentation. That expectation is likely to intensify as the sector continues to grow over the next decade. According to FortuneBusinessInsights.com, the global luxury goods market size is anticipated to grow to USD 392.40 billion by 2030. Every pattern, from subtle pinstripes to elaborate […]

Generative AI Adoption in Automotive and Manufacturing: Key Technology Considerations

Generative AI Adoption in Automotive and Manufacturing: Key Technology Considerations

The automotive and manufacturing industries are undergoing another digital transformation, this time powered by artificial intelligence. From engineering workbenches to smart factories, Generative AI (Gen AI) is transforming how vehicles are designed, manufactured, and maintained. However, implementing production-grade AI applications requires more than just selecting the right models – it demands robust architecture, enterprise-grade security, […]

Solution for Responding to DCA Complaints for Motor Finance Using AWS Services

Solution for Responding to DCA Complaints for Motor Finance Using AWS Services

The UK motor finance industry faces Complex challenges following the Financial Conduct Authority’s (FCA) review of Discretionary Commission Arrangements (DCA). Financial institutions must now analyze historical lending data, calculate accurate redress amounts, and manage customer communications effectively, all while working with fragmented data sets and tight regulatory deadlines. In this post, we’ll explore how AWS […]

Enhance predictive maintenance with generative AI agents on AWS

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 […]

Modernizing Telecom Mainframes: How AWS and Astadia Are Powering the Digital Network of the Future

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

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 […]

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, […]

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 […]

Aligning Amazon Bedrock with NAIC AI Principles and Model Bulletin

Aligning Amazon Bedrock with NAIC AI Principles and Model Bulletin

The rapid advancement of generative AI promises new strategies for innovation in the insurance industry, and insurance carriers should implement it in compliance with regulatory requirements. The National Association of Insurance Commissioners (NAIC) has adopted Principles on Artificial Intelligence and released a Model Bulletin on the use of artificial intelligence systems by insurers to provide […]