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…
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…
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,…
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…
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…
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…
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,…
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,…
Manufacturing is on the cusp of a technological revolution, driven by advancements in artificial intelligence (AI) and machine learning (ML). These technologies promise to transform how manufacturers operate, making processes more efficient, productive, and innovative. Let's…
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…
The Indy Autonomous Challenge (IAC) stands at the forefront of autonomous vehicle technology, serving as a pivotal competition that not only pushes the boundaries of high-speed AI-driven cars but also shapes the future of this technology.…
At Automate 2024, the conversation with Yushiro Kato, Founder & CEO of CADDi Inc. focuses on innovative solutions in the manufacturing industry that address persistent challenges such as process redundancy and data management inefficiencies. A shining…