Author: Paul Viorel

Curious about how generative AI can enhance your manufacturing operations? Our latest digital booklet, "From Imagination to Implementation: Generative AI's Revolutionary Role in Manufacturing," offers a practical guide to understanding and applying this innovative technology. Generative AI holds transformative potential for

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

In the rapidly evolving world of IoT, efficient data communication and management are paramount. The white paper "Working with MQTT and InfluxDB" provides a comprehensive overview of how MQTT, a lightweight messaging protocol, pairs with InfluxDB to create powerful solutions for data-intensive

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

Toyota's investment in the Industrial Internet of Things (IIoT) is characterized by a strategic, two-pronged approach that balances long-term digital transformation initiatives with smaller, immediate-impact projects. This method not only drives substantial technological advancements but also empowers employees and maximizes

The Industrial Internet of Things (IIoT) has revolutionized manufacturing, offering unprecedented connectivity and efficiency. However, this connectivity brings significant cybersecurity challenges. As manufacturers integrate IIoT into their operations, understanding and navigating regulatory and technological shifts becomes essential for maintaining robust

In the dynamic world of manufacturing, complexity, and rapid changes present significant challenges. Innovative solutions such as low-code tools and open-source software are transforming the industry, making it more efficient and adaptable. This article explores how these technologies reduce complexity,

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