Category: AWS IoT Greengrass

Organizations have been looking to modernize their legacy Building Management System (BMS) with data analytics and artificial intelligence/machine learning (AI/ML). Although they can help organizations achieve their sustainability goals, improve energy management, and other smart building capabilities, they can also turn into a substantial setback if the systems aren’t set up properly to use the […]

The telecommunications (telecom) industry is undergoing a transformative shift driven by advancements in artificial intelligence (AI) and machine learning (ML). Small Language Models (SLMs), which can run efficiently on Internet of Things (IoT) and edge devices, are at the forefront of this revolution. SLMs are scaled-down versions of large language models (LLMs) that deliver comparable […]

Across the Life Sciences, companies are integrating cloud technology into laboratory operations to create digitally connected labs. This innovation is bringing our industry one step closer to the Lab of the Future enabling seamless data integration, remote access, collaboration, flexibility, scalability, and cost-effectiveness. Waters Corporation has had success in this area. Their customers benefit from […]

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 the high-stakes arena of manufacturing, where product quality can make or break market reputation, using visual intelligence effectively remains the linchpin of excellence. Visual intelligence, in this context, refers to the application of artificial intelligence (AI) precision to enhance visual quality inspection (VQI), seamlessly integrating visual data with operational metrics like overall equipment effectiveness […]

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), […]