AWS for Industries
Category: Uncategorized
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 […]
Automate Procurement Workflows with AI Agents using Amazon Bedrock AgentCore
Procurement teams increasing struggle with managing vendor selection and Request for Quotation (RFQ) processes effectively. Buyers spend significant time navigating multiple Enterprise Resource Planning systems and external data sources. They must consolidate supplier information, validate compliance requirements, and compare costs across vendors to identify the optimal option. This fragmentation causes delays, manual errors, and missed […]
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 […]
AWS empowers energy companies to accelerate sustainable biofuel supply chains
Cloud technology enables sustainable energy pioneers to accelerate their transition to sustainable fuels, while maintaining operational excellence and their competitive advantage in an evolving energy landscape. We will explore how energy companies are leveraging Amazon Web Services (AWS) to revolutionize their supply chain for sustainable fuel and in particular hydrotreated vegetable oil (HVO). Energy companies […]
Aeron on AWS: 2025 Performance Benchmark Results
Advances in cloud performance continue to accelerate the shift of capital markets to the cloud. This shift demands that core market infrastructure be re-engineered for cloud-based resilience and performance. Aeron’s high-performance messaging and clustering technology is purpose-built to support this move, enabling front-office trading and risk workflows, liquidity provision, trade execution, and market data to […]
Visualizing Distributed and Edge Applications Performance Using Amazon Quick Suite Sankey Diagram
Introduction In today’s mission-critical networks, distributed and edge computing plays a vital role in telecommunications, gaming, Edge AI processing, and autonomous vehicles. As distributed applications are deployed across multiple AWS Regions, Availability Zones (AZs), and Local Zones (LZs) to meet customer demands for ultra-low latency services, understanding each node’s performance becomes increasingly complex. Traditional monitoring […]
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 […]
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
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 […]
Operational risk management and AI for banks and financial services customers
Introduction In 2022 we published a blog entitled “Is your Enterprise Risk Management Framework ready for the Cloud?” that set out how and why Enterprise Risk Management Frameworks (ERMFs) needed to change to accommodate the adoption of Cloud technology. In the intervening three years, we have observed that those customers who are making the most […]








