How AI-Powered Industrial Agents are Transforming Manufacturing Efficiency
Manufacturing is entering a new era of precision and efficiency with the rise of AI-powered industrial agents. These specialized tools are revolutionizing how manufacturers approach problem-solving, decision-making, and operational improvements. By narrowing the scope of AI…
What does it take to work with Generative AI Models
The world of AI is evolving rapidly, and if you’re a machine learning engineer, you might already feel drawn towards generative AI. Generative models are more than just a trend—they represent a leap towards a more…
Enhancing Manufacturing Processes with AI and Low-Code: An Essential Guide for Modern Manufacturers
IIoT World’s latest booklet, “Enhancing Manufacturing Processes Through AI and Low-Code Integration,” is a must-read resource for manufacturers looking to leverage cutting-edge technologies to drive efficiency, innovation, and productivity. This guide delves into the synergy between AI and…
Five reasons why AI projects fail in manufacturing
IIoT World documented the five most common reasons AI projects fail in manufacturing, based on practitioner discussions at the AI-Driven Process Optimization session. Data quality, limited generalizability, neglecting human-centric tasks, unclear ROI targets, and internal buying…
Siemens Expands Industrial Copilot to Empower Manufacturing with Generative AI
In an era of heightened competitive pressure and skilled labor shortages, the manufacturing industry faces immense challenges in productivity and efficiency. Siemens is at the forefront of addressing these challenges by introducing powerful, generative AI-driven solutions…
Data Barriers and AI in Manufacturing: Overcoming the Challenges
IIoT World covers AI adoption challenges in manufacturing through practitioner sessions and expert articles, including Industrial AI 2026 Summit on September 9-10, 2026. One of the most significant hurdles in deploying AI in manufacturing is access…
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…