AWS for Industries

Category: AWS Identity and Access Management (IAM)

Enable Intelligent Insights for Telecom Networks Using AWS BI Capabilities

Enable Analytics and Insights for Telecom Networks

Telecom networks generate voluminous fault, configuration, accounting, performance, and security (FCAPS) data. Communication Service Providers (CSPs) are looking at ways to use this data efficiently to improve the network health, as well as reduce Mean Time to Detect (MTTD), and Mean Time to Resolve (MTTR). They want to increase the service uptime, reduce spectrum interference, […]

Recommended Patterns for onboarding SaaS applications - Part 1

Recommended Patterns for onboarding SaaS applications – Part 1

Connecting all the right software as a service (SaaS) providers using well-established private, secure and resilient integration patterns can seem overwhelming. The SaaS model of deployment can help organizations reduce undifferentiated heavy lifting to manage the vendor’s application, software tools and hardware infrastructure—resulting in an improvement in operational efficiency and business agility. We, at Amazon […]

Photo of mobile phone in use

Implementing a GSMA Compliant Remote SIM Provisioning Workload on AWS

A technology shift is underway in telecom as devices evolve beyond removable physical Subscriber Identity Module (SIM) cards in favor of embedded Universal Electronic Circuit Cards (eUICCs) and electronic SIMs (eSIMs). This shift is largely necessitated and driven by the rise of the Internet of Things (IoT), where devices are deployed and managed at scale. […]

Secure Your Genomic Workflows and Data with AWS HealthOmics

AWS HealthOmics is a HIPAA-eligible AWS service and provides fully-managed compute that helps customers process genomic, proteomic, and other varieties of -omic data securely and at scale in AWS. It supports common workflow definition languages—including WDL, Nextflow, and CWL—and secure access to data stored in Amazon S3 and AWS HealthOmics Storage. In this blog post, we cover […]

Figure 1 Kalki.io Data Hub architecture on AWS

Secure data acquisition and control of DERs and grid devices using ASE/Kalkitech Data Hub on AWS

Industry Context In the utility industry, there is a wide range of devices and supervisory control and data acquisition (SCADA) systems that operate in an on-premises environment. With the growth of renewables and distributed energy resources (DERs), electric utilities need to change their energy planning models and operations to maintain reliability and stability of the […]

Figure 1 Lyve Mobile solution for subsurface imaging data acquisition and processing

Using Seagate Lyve Mobile Cloud Import to accelerate mass geophysical data transfer into Amazon S3

Overview Energy transition and digitalization sparked a dramatic growth in the volume and complexity of data in the energy industry. The importance of data has increased dramatically over the last decade as companies rethink their strategies and embrace new ways of storing and processing data to drive actionable business insights. As enterprises continue to generate […]

Event-Driven Architecture for ISO 20022 Messaging Workflows on AWS

Event-Driven Architecture for ISO 20022 Messaging Workflows on AWS

For decades, Financial Services Industry (FSI) organizations have been relying on various messaging standards to send and receive payments. For example, credit card payments leverage ISO 8583, cross-border payments have been relying on ISO 15022, while various depository institutions or market payments operators have developed their own proprietary messaging standards. FSI organizations are adopting an industry-standard […]

Figure 1 The AWS shared responsibility model and MachineMetrics

Manufacturing analytics in regulated industries with MachineMetrics on AWS

MachineMetrics on AWS supports automated production monitoring and analytics, while maintaining strong security and compliance. Users achieve strong security and compliance at scale, by using underlying MachineMetrics and AWS frameworks. There’s a myth in the life sciences industry that cloud-based solutions threaten compliance due to a lack of security and stability. This level of caution can […]

Implement FAIR scientific data principles when building HCLS data lakes

The FAIR data principles were first proposed in a seminal paper published in 2016 in the Journal Scientific Data. It was written by a group of international experts in data management and curation. To address the challenges that the research community is facing, they proposed FAIR Principles as a framework for making data more discoverable, […]

Telco Workload Placement and Configuration Updates feature card

Telco Workload Placement and Configuration Updates with Lambda and inotify

With users and applications demanding high bandwidth along with low latencies, mobile service providers and application developers are working hard to meet demanding performance requirements. To deliver high bandwidth with low latencies, operators often need to deploy mobile Container Network Functions (CNFs) to deliver network connectivity services closer to the traffic location. Since a CNF […]