Artificial Intelligence & ML
The Untapped Potential of AI: Moving Beyond Automation to Empower Humans in Manufacturing
The current AI discourse in manufacturing often revolves around automation and the potential displacement of human workers. While these are valid concerns, focusing solely on them overshadows a significant, yet often overlooked, opportunity: leveraging AI to enhance…
Six Ways AI is Transforming Enterprise Asset Management
Artificial intelligence (AI) is transforming enterprise asset management (EAM) by enhancing efficiency, accuracy, and predictive capabilities across various processes. This article outlines six key ways AI can improve EAM, particularly through data collection, management, and asset…
Artificial General Intelligence and Large Language Models
As I described in the first article of the "Artificial Intelligence Seasons" series, the technological singularity storm is on the horizon, with Artificial General Intelligence (AGI) being one of the most hyped concepts. Let’s take a…
What are the risks of using AI in manufacturing?
Artificial intelligence promises transformative gains for manufacturers, but deploying AI on the shop floor introduces risks that many organizations underestimate. IIoT World examines the most critical challenges facing industrial AI adoption: poor data quality that produces…
Generative AI: Bridging the Knowledge Gap for Manufacturing Personnel
Generative AI can make AI insights more accessible to shop floor operators, allowing them to make better decisions without having to understand complex data or algorithms. For example, generative AI could help operators understand what the next…
Three Essential Uses of Generative AI in Manufacturing
Generative AI is transforming the manufacturing industry by offering innovative solutions to enhance efficiency, improve product design, and optimize processes. Let's explore three specific ways generative AI can be applied to jobs in manufacturing, providing concrete…
Artificial Intelligent Seasons
Birth of AI. Winter The terms "artificial intelligence" and "machine learning" began shaping the technological landscape in the mid-20th century, with the official birth of AI at the Dartmouth Conference in 1956. John McCarthy and his…
An Introduction to AI Anomaly Detection
In the evolving landscape of industrial IoT, the ability to identify anomalies is not just a luxury but a necessity. This blog post shows how AI-driven anomaly detection is transforming how industries operate and setting new…
6 AI Trends That Will Impact the IoT Industry in 2024
While most of the attention around AI in recent years has gone to consumer-focused applications like text generation and image creation tools, businesses are also adopting AI for more practical uses in the physical world. In…
Real-Time Anomaly Detection at the Edge using EmbeddedAI and IoT
The world is surrounded of problems to solve at the same time companies need to use innovation to offer new products and new services for their customers. There are several technologies already available to be combined…
The Benefits of Artificial Intelligence of Things (AIoT) in Modern Oil and Gas Leak Detection
The oil and gas industry is undergoing a profound transformation, driven by a realization among plant managers and engineers of the imperative to reassess business processes related to fugitive emissions. There's a compelling need to modernize…
Revolutionizing Tire Monitoring
As tire manufacturers strive to provide real-time information to vehicle control systems, the integration of data and the power requirements remain significant challenges. Companies like Goodyear Tire & Rubber and Bridgestone are working on equipping tires…