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Edge device

Coordinating IoT Workloads: Edge Orchestration

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge. In this article, we will delve into the concept of orchestration in IoT edge computing, exploring how coordination and…

Empowering Inclusivity: Utilizing Edge ML to Support Individuals With Special Needs

Technological advancement has brought new solutions for people with special needs. Edge Machine Learning (Edge ML) is a pioneering technology that positions machine learning algorithms closer to the data source, which reduces latency and improves real-time processing capabilities.  This article discusses the potential of Edge ML in addressing the unique challenges faced by individuals with special needs. It sheds light on how Edge ML can foster a more supportive and inclusive environment. The article examines various…

CI/CD for AI-Enabled IoT Systems

In today's fast-evolving technology landscape, the integration of Artificial Intelligence (AI) into Internet of Things (IoT) systems has become increasingly prevalent. AI-enhanced IoT systems have the potential to revolutionize industries such as healthcare, manufacturing, and smart cities. However, deploying and maintaining these systems can be challenging due to the complexity of the AI models and the need for seamless updates and deployments. This article is tailored for software engineers and explores best practices…

Beyond SCADA: Consolidating Your OT With an IIoT Platform

Industrial enterprises use SCADA as a process control system to monitor data acquisition processes and oversee various related workflows. The data coming from OT devices is taken in by SCADA systems and integrated into the SCADA ecosystem as applications covering a range of use cases for the shop floor. So why does an industrial IoT platform still make sense here?  One downside of SCADA is that these systems are not made for rapid scaling. They do not accommodate change so easily. Most of the time, the processes are slow…