Category: AWS IoT Greengrass

Industrial data, a valuable resource, offers insights into machine performance, processes, and products. By collecting and analyzing this data, companies can enhance product quality, optimize efficiency, manage supply chains, and effectively schedule preventive maintenance. However, collecting data from industrial devices can be a complex process. Typically, these devices are manufactured by different vendors, each using […]

To remain competitive, an industrial company in the process manufacturing space needs real-time visibility on how their plants are operating and performing. This blog describes how an industrial company created a dashboard solution to optimize their manufacturing process by ingesting and analyzing equipment data from a distillery plant to AWS securely. The need for data-driven […]

Amazon Web Services (AWS) and Safran Passenger Innovations (SPI) – a global leader for In-Flight Entertainment and Connectivity Systems, built an aircraft data connectivity platform called SmartPipe. This scalable, cloud-connected platform provides aircraft operators with the ability to establish connections between an aircraft and the cloud, and communicate with each other to exchange data. Aircraft […]

End-to-end scientific data management on the cloud is an area of increasing interest, as life sciences companies aim to increase the utility of their data. Research, development, and manufacturing teams need a holistic set of controls for the scientific data lifecycle. These controls include data integrity, metadata tracking, lineage, permissions, and security, while simultaneously allowing […]

In metal-to-metal welding applications, automating inspections to detect weld defects early and often can help avoid costly product recalls, excessive scrap, rework, and other expenses associated with poor quality. Companies have found it challenging to implement such automation. IBM Smart Edge for Welding (SE4W) with AWS aggregates quality inspection capabilities based on artificial intelligence (AI), […]

Pfizer, one of the world’s premier biopharmaceutical companies, uses machine learning (ML) and artificial intelligence (AI) for near-real-time monitoring of mammalian cell culture bioreactors to boost batch yield and reduce the risk of contamination. Using Amazon Web Services (AWS), the company developed Manufacturing Intelligence Edge (MI Edge), a platform that uses AI and ML for […]

Communication Service Providers (CSPs) manage millions of CPE (Customer Premises Equipment) like broadband routers, Wi-Fi gateways, and more. Traditionally, most of these devices have been managed by standards such as TR-069 (CPE WAN Management Protocol or CWMP) from Broadband Forum. However, although TR-069 has been effective for basic management and configuration, it presents drawbacks in […]

The medical imaging industry is used to diagnose and treat various medical conditions. The medical imaging industry has experienced significant growth [1] over the past decade and is expected to continue growing in the upcoming years. This is due to the demand for diagnostic imaging services increasing with the aging population, an increase in the […]

Controllable distributed energy resources (DERs) are key to the successful transition to a zero-carbon grid. Industry context Distributed energy resources (DERs) are controllable energy assets that can generate, store, or consume energy. Examples of DERs are thermostats, heat pumps, batteries, boilers, electric vehicles (EVs), smart inverters, and so on. The ability to control DERs plays […]

Guidance for RFID Store Inventory Management on AWS The need for RFID (Radio Frequency Identification) is growing. Retailers face many challenges in managing their inventory, including out-of-stock situations, misplaced items, and shrinkage. These challenges can impact the bottom line and hurt the customer experience. To address these issues, retailers are increasingly turning to RFID technologies. […]