Category: AWS IoT Greengrass

Introduction Artificial Intelligence (AI) applications are evolving into distributed inference pipelines, where models run across multiple tiers, from device edge to AWS, to optimize latency, bandwidth, and privacy. Instead of sending all raw data to AWS, collaborative AI inference can occur at the device, far edge, near edge (often a 5G Multi-access Edge Computing site […]

The convergence of Software-defined Vehicle (SDV), Generative Artificial Intelligence (GenAI), and the Internet of Things (IoT) can pave the way for AI-defined vehicles as the future of mobility. Imagine a car that doesn’t just drive itself – it evolves with every update. In the next decade, your vehicle could be smarter, safer, and more personalized […]

Introduction: In today’s manufacturing landscape, organizations are integrating artificial intelligence (AI), machine learning (ML), data analytics, Internet of Things (IoT), and cloud computing. These technologies help improve efficiency, quality control, and innovation across various manufacturing processes. By using real-time data, predictive analytics, and automation, manufacturers can increase productivity and competitiveness in the global market. However, […]

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 […]