AI Tag

Join us ONLINE on September 10, 2024, for a deep dive into the intersection of sustainability and artificial intelligence at IIoT World’s Sustainability and Artificial Intelligence Day. This virtual event will feature live sessions that explore how AI is revolutionizing industrial

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

AI-driven cybersecurity tools can help manufacturers by enabling use cases like anomaly detection, spotting potential insider threats and access anomalies, and finding malicious patterns in network traffic. These tools can analyze data much faster than humans and produce actionable reports for

Data integration is a critical component for realizing the full potential of the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) in industrial settings. By enabling the aggregation and analysis of data from various sources, data integration leads to

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

As artificial intelligence (AI) continues to revolutionize industries, leaders must prepare their organizations to harness AI's potential for value generation. This involves not only adopting new technologies but also fostering a culture of innovation and continuous improvement. By focusing on

In the rapidly evolving manufacturing sector, digital transformation is not just a trend but a necessity. Leveraging technologies such as AI and machine learning (ML) can lead to significant improvements in efficiency, quality, and decision-making. However, the success of these

Artificial intelligence (AI) and machine learning (ML) have been used interchangeably since the 1950s. Although they experienced a resurgence in the late 1990s and early 2000s, generative AI, specifically ChatGPT, didn’t become popular until 2022. In manufacturing, AI/ML has been used