AWS for Industries

Category: AWS Step Functions

InsurTech: Event-driven Insurance Policy Processing Approach

InsurTech: Event-driven Insurance Policy Processing Approach

Traditional monolithic policy processing systems are often burdened with complexity and inefficiency, leading to slow response times, errors, and customer dissatisfaction. However, the emergence of InsurTech has paved the way for innovative solutions that can revolutionize insurance policy processing. In this blog, you’ll learn how to build a modern, scalable insurance policy administration system on […]

Enhance price capture in energy and commodity trading with AWS machine learning

Enhance price capture in energy and commodity trading with AWS machine learning

In the energy and commodity trading industry, traders negotiate transactions with brokers and counterparties directly. These negotiated transactions are called over-the-counter (OTC) deals. Price discovery for OTC deals is unlike price discovery for common equity, options, and other financial instruments, where pricing information is generally market-efficient and available in near real time. In OTC trades, […]

Fidelity International improves customer experience using Amazon SageMaker

Fidelity International improves customer experience using Amazon SageMaker

Many companies want to actively use advance analytics to bring operational efficiencies and improve the customer experience. Automating and migrating to the cloud machine learning operations (MLOps) techniques can provide streamlined machine learning (ML), improved data processing, and enhance operational efficiency—leading to substantial cost reductions compared to on-premises deployment. The challenge There has been a […]

Remote Vehicle Diagnostics with AWS IoT FleetWise and Amazon Connect

Remote vehicle diagnostics is the ability to remotely detect and diagnose vehicle malfunctions. Connected mobility and improvements in On-Board Diagnostics (OBD) have made it possible to remotely diagnose vehicle malfunctions. Prior to connected vehicles the repair process was reactive. Service centers had little insight into vehicle malfunctions until they were brought in and inspected. Service […]

Retail_Top 5 Way AI and ML are Changing Retail Feature Card

Top 5 ways artificial intelligence and machine learning are changing retail

The retail industry is facing numerous challenges in today’s dynamic landscape that are forcing them to rethink their strategies. Retailers must keep up with technological advancements, such as generative AI, artificial intelligence and machine learning (AI/ML) and ecommerce platforms, to remain competitive to retain customers and market share. Retailers face intense competition from both traditional […]

Using events for secure, near-real-time integration of measurement and related data from the EnergySys platform feature card

Using events for secure, near-real-time integration of measurement and related data from the EnergySys platform

Energy companies operate sophisticated technical infrastructure with complex requirements, and they need to share data securely across application and company boundaries. These companies are increasingly focused on achieving agile operations, responding rapidly to change, and developing new solutions in an evolving business context, including energy transition. However, conventional approaches to data sharing are often cumbersome, […]

Winning Back Customers and Growing Revenue with Abandoned Cart Recovery feature card

Winning Back Customers and Growing Revenue with Abandoned Cart Recovery

One of the biggest challenges faced by online retailers is shopping cart abandonment, where customers add items to their shopping carts but ultimately leave the website without making a purchase. To overcome this hurdle and optimize sales opportunities, businesses must prioritize the implementation of efficient customer notification and insight strategies. These strategies play a vital […]

Simulating Automotive E/E Architectures in AWS Part 2: Solution in Action

This is the second blog post in our 2-part series that provides guidance on how to simulate automotive Electrical/Electronic (E/E) architectures in AWS. In part 1, we discussed the trends in automotive E/E architectures and the general concepts and challenges facing automakers around simulation of Electronic Control Unit (ECU) software utilizing the cloud. In this […]

Figure 1 Solution Overview for data processing and data management

Scaling Automated Driving data processing and data management with BMW Group on AWS

Autonomous driving (AD) and highly automated driving are key technologies in the automotive industry. Fully realized, they have the potential to fundamentally transform the automotive and mobility industries through improved comfort and safety and new business models for automobile manufacturers. The BMW Group is one of the leading OEMs in the automotive industry. This year, […]

Figure 1 Architectural diagram

Connecting Google Analytics data in AWS Clean Rooms

Businesses across industries increasingly want to complement their first-party data with partners in order to generate more insights for use cases such as creating a more complete view of their customers, optimizing marketing and advertising campaigns, and improving reporting and measurement. At the same time, these companies want to protect their underlying data and are […]