Category: Artificial Intelligence

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 […]

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 […]

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 […]

In part 1- Healthcare Industry lens, we shared an overview of the impact of the European Union (EU) Data Act on Healthcare IoT, Act core requirements, and demonstrated how Amazon Web Services (AWS) services can be used to create data workflows to support efforts to meet requirements. Technical implementation guide Now that you’ve learned about […]

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 […]

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 […]

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 […]

Overview In the second half of 2025, Financial Market Infrastructure Providers (FMIs) continued to accelerate the migration of critical workloads across the trade lifecycle to AWS. Exchanges, Central Counterparty, Clearing Houses (CCPs), and Central Security Depositories (CSDs) have been leveraging cloud services to drive efficiency and unlock innovation. Generative AI (GenAI) and agentic AI played […]

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 […]

The BMW Group, headquartered in Munich, Germany, employs 159,000 people across more than 30 production and assembly facilities in 15 countries. As an automotive innovation leader, BMW Group has been working to stay at the forefront of digital transformation by using data and artificial intelligence (AI). In 2020, BMW Group launched the Cloud Data Hub […]