Category: Artificial Intelligence

Introduction Water meters are present at almost every location that consumes water, such as residential houses or large-scale production plants. Avoiding water loss is increasingly important as water shortages are more frequent across all continents. Due to an aging infrastructure, 30% of water flowing through pipes is lost to leaks (AWS announces 6 new projects […]

Introduction The Internet of Things (IoT) devices have gained significant relevance in consumers’ lives. These include mobile phones, wearables, connected vehicles, smart homes, smart factories and other connected devices. Such devices, coupled with various sensing and networking mechanisms and now advanced computing capabilities, have opened up the potential to automate and make real-time decisions based […]

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 Building an IoT device for an edge Computer Vision and Machine Learning (CVML) solution can be a challenging undertaking. You need to compose your device software, ingest video and images, train your models, deploy them to the edge, and manage your device fleet remotely. This all needs to be performed at scale, and often […]

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 […]

Although mostly invisible, embedded systems are ubiquitous in our everyday lives, powering applications, such as smart home automation or industrial control systems. At the upcoming Embedded World 2024 trade fair, Amazon Web Services (AWS) will showcase its latest innovations and solutions in the field of Internet of Things (IoT), tailored towards the embedded industry. Join us […]

Over the last few years, the industrial and manufacturing sectors have witnessed an accelerated transformation fueled by the advancement of the Industrial Internet of Things (IIoT), artificial intelligence (AI), and machine learning (ML). At the heart of this transformation is data, which when harnessed effectively, can propel businesses to new heights of operational efficiency, innovation, […]

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 […]