Category: Amazon DynamoDB

Introduction Oil and Gas companies operate in a complex global environment that requires them to balance energy demand with a lower carbon footprint. The United States’ Environment Protection Agency (EPA) requires all Oil and Gas companies to report greenhouse gas (GHG) emissions annually to track high GHG-emitting facilities and develop climate policies accordingly. GHG reporting […]

Automotive companies such as OEMs, Tier 1 suppliers, and fleet owners encounter unique challenges in their connected software development and distribution. These challenges include the time-consuming nature of hardware-dependent testing, the high complexity and cost associated with over-the-air (OTA) solutions, and difficulties in sourcing a skilled workforce due to the industry-specific niche of in-vehicle software […]

Communication Service Providers (CSPs) are evolving into providers of a “network of networks” to enable new revenue streams through industry-specific private network solutions. This plurality of networks needs the adoption of automation to achieve operational excellence. CSPs are seeking opportunities to automate the lifecycle management (LCM) operations of private networks. By using automation, CSPs can […]

The global utilities industry is undergoing a major transformation today. According to Gentrack, which provides software and services for the global utilities sector, utilities are facing growing pressure to reduce costs, become more profitable, and offer a better customer experience. At the same time, smart meters are rolling out worldwide, frequently recording and sending electricity […]

Modern trucks come with a variety of equipment for the buyer to choose from. The truck configurator helps the seller to configure the truck with the right capabilities according to the customer’s needs. The configuration is a critical part of the sales process. In this blog, we explain how MAN Truck & Bus SE (MAN) […]

In the rapidly evolving field of healthcare, leveraging generative AI has the potential to revolutionize patient care and streamline clinical processes. However, orchestrating these complex workflows while ensuring data security and compliance with regulations, such as HIPAA, can be challenging. A common pattern involves starting with the source data, choosing a generative AI model, and […]

Protecting sensitive (personal data such as payment and health data) is one of Amazon’s highest priorities. In support of this goal, Amazon developed Lumos, a highly secure and scalable internal service that provides low-latency APIs to tokenize sensitive data. Lumos is a cloud-native application built on Amazon Web Services (AWS) serverless and security offerings; processing […]

Background: Energy companies are seeking methods to run engineering software in the cloud, especially those that need a significant amount of computing and storage resources in short periods of time to bring about simulation capacity instantaneously and reduce project turnaround (for example, Florida-based utility runs PROMOD, Siemens Simcenter customers run CFD, Ansys LS-DYNA customers run […]

In the rapidly evolving life sciences industry, sales teams are facing growing challenges in engaging effectively with healthcare professionals (HCPs). With the complexity of drug portfolios, innovative go-to-market models, and intense competition, sales teams require quick access to critical data, intelligent guidance on HCP interactions, and the ability to automate administrative tasks. By addressing these […]

Today, many organizations face challenges in transforming raw data into actionable insights due to the specialized skills or programming expertise required for data analysis. Recognizing this barrier, BMW Group embarked on an innovative project using Amazon Web Services (AWS) to empower its workforce and unlock the full potential of its data through generative artificial intelligence […]