Artificial Intelligence

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 creative AI future. But

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 low-code platforms, offering actionable

Implementing AI in manufacturing holds great promise, but the path to success is often littered with obstacles. Despite the hype, many AI projects fail to deliver on their potential. Here are some common reasons why AI projects fail in manufacturing: Data

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 with its Industrial Copilot. At

One of the most significant hurdles in deploying AI in manufacturing is access to the right data. While AI has the potential to transform industrial operations, its effectiveness is often limited by the availability of high-quality data. The data required

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 human capabilities and optimize

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 monitoring. Data Collection and Management

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 closer look at what

In the ever-evolving landscape of manufacturing, Artificial Intelligence (AI) presents both significant opportunities and substantial risks. While AI can drive efficiency, innovation, and enhanced cybersecurity, it also introduces challenges that must be carefully managed to ensure safety and trust. This