Category: AWS Lambda

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 […]

Introduction The utilities sector provides essential services to our homes, businesses, and communities. As the world becomes increasingly digitized, electrified, and resource-constrained, the sector faces unprecedented challenges. Three key imperatives have emerged: Modernize and expand infrastructure: Utilities must invest in a sustainable infrastructure that meets growing demand while incorporating green energy sources, reducing waste, and […]

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 […]

Many Telco use cases use Equal Cost Multipath (ECMP) for traffic distribution, enhancing high availability (HA), resiliency, and fast failover. AWS Direct Connect and AWS Transit Gateways currently support ECMP (Equal-Cost Multi-Path routing) specifically for connections from on-premises environments to the AWS cloud. However, within an Amazon VPC (Virtual Private Cloud), only a single destination can […]

The credit card dispute management process in banks is often manual, time-consuming, and because of legacy systems. This inefficient process leads to slow dispute resolution times, poor customer experiences, potential revenue losses and challenges in complying with regulations. Banks and customers face consequences from this problem; banks face operational inefficiencies, high costs, and customer dissatisfaction, […]

Introduction Industrial Asset Performance Management (APM) has experienced a significant transformation over the past three decades. Organizations are shifting away from rigid, time-based maintenance schedules toward predictive maintenance, which enables them to optimize cost, enhance performance, and mitigate risk by anticipating equipment failures before they occur. Today, energy companies are leading the adoption of new […]

Iberdrola is a global leader in electricity generation, distribution, and commercialization, pioneering wind power and renewable energies. i-DE is Iberdrola’s entity responsible for the electric distribution grid in Spain and Portugal, accountable for millions of operational assets with a very heterogenous nature, which makes it challenging to have a live and consolidated view of each […]

In today’s data-driven world, healthcare payors have a unique opportunity to leverage the power of personalization to drive better health outcomes and member satisfaction. In our previous Digital Front Door blog for Healthcare Payors, we explored how AWS services can enable a comprehensive digital front door experience for members. As Payors begin prototyping these solutions, a […]

To plan wireless networks effectively, Communication Service Providers (CSPs) must analyze the viability of potential cell sites. This includes identifying potential facilities, obstructions, sources of interference, etc. Traditionally, capturing this information required a truck roll, which can be expensive, especially at scale. Harnessing the power of Machine Learning (ML) and computer vision to analyze site […]