Category: Analytics

Machine learning (ML) models operate directly in the critical path of ad delivery, influencing bidding, pricing, and campaign optimization under strict latency, reliability, and correctness requirements. These models are trained frequently on large volumes of historical auction data and produce deterministic artifacts that downstream serving systems rely on for consistent behavior in production. Historically, Kargo, […]

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 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 […]

Modernizing legacy financial systems for regulatory compliance requires careful architectural planning and proven cloud solutions. This post shows you how Angel One transformed a fragile, stored-procedure-driven back office into a cloud-native, auditable system on AWS. You’ll learn the architecture, challenges, and results of building a post-trade reporting platform that processes 30 million records daily while […]

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 […]

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 […]

re:Invent 2025 addressed a wide range of financial services challenges, from mission-critical infrastructure to customer experience transformation. Agentic AI took center stage with over 30 dedicated sessions, reflecting the industry’s adoption of AI agents in production environments. From Matt Garman’s (CEO, AWS) keynote featuring Nasdaq, Visa, and National Australia Bank (NAB’s) work with Amazon Bedrock […]

Introduction In working with insurance providers, we have observed a consistent challenge: making complex policy information accessible and understandable to customers across their preferred channels. When customers seek coverage details, they often encounter dense policy documents, generic chatbot interactions, or lengthy call wait times. These friction points create customer frustration, drive up operational costs, and […]