Category: Amazon Machine Learning

In the rapidly evolving landscape of the Internet of Things (IoT), security is paramount. One critical example that underscores this challenge is the prevalence of insecure network devices with open SSH ports, a top security threat as per the non-profit foundation Open Worldwide Application Security Project (OWASP). Such vulnerabilities can allow unauthorized control over IoT […]

Average worldwide household electricity use is expected to rise about 75% between 2021 and 2050 (ExxonMobil Report, 2024) . Electric Vehicles (EV) adoption is expected to drive 38% of the domestic electricity demand increase by 2035 (Ross Pomeroy – RealClear Science). In addition, Distributed Resources (DER) deployments, such as solar PhotoVoltaic (PV) systems, will increase […]

Introduction Smart buildings and factories have hundreds or thousands of sensors continuously collecting operational data and system health information. These buildings increase efficiency and lower operating costs because the monitoring and data collected allow operations to shift from an “unplanned failures” to predictive maintenance approach. Operations managers and technicians in industrial environments (such as manufacturing […]

Introduction Generative AI-powered chatbots are driving productivity gains across industries by providing instant access to information from diverse data sources, accelerating decision-making, and reducing response times. In fast-paced industrial environments, process engineers, reliability experts, and maintenance personnel require quick access to accurate, real-time operational data to make informed decisions and maintain optimal performance. However, querying […]

Introduction McKinsey research shows that a remarkable 70% of top tech executives are investing in digital twins, highlighting the growing momentum for this technology. Their goal is to achieve more agile and resilient operations, as digital twins offer a wide range of applications, from remote control and monitoring to complex system simulations, enabling a new […]

Introduction Building a resilient path to post-pandemic recovery requires adaptability to dynamic trends. Therefore, many logistics leaders use predictive analytics to drive supply chain decisions, improve internal operational processes, meet regulatory compliance, and reduce transportation maintenance costs. Use cases for advanced predictive analytics in logistics include transportation management, fleet management, last-mile delivery, and visibility into […]

Introduction Customers in manufacturing, logistics, and energy sectors often have stringent requirements for needing to run machine learning (ML) models at the edge. Some of these requirements include low-latency processing, poor or no connectivity to the internet, and data security. For these customers, running ML processes at the edge offers many advantages over running them […]

In this post we discuss how AWS IoT for Defense and National Security (IoT4D) increases readiness by driving operational excellence for manufacturing and supply chains, improving sustainability for buildings and bases, improving equipment maintenance and uptime, and providing situational awareness at the tactical edge. IoT workloads securely collect, aggregate, and store data from fleets of […]

Introduction Our homes contain everything from dust, cooking fumes, and chemicals released from paint, furniture, and cleaning agents. Add to that polluted outdoor air making its way into our homes through ventilation, and you’ve got a cocktail of toxins floating around between your four walls. Clean air has proven positive health benefits. It can provide […]