Smart Manufacturing

  /  Smart Manufacturing

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

Generative AI can make AI insights more accessible to shop floor operators, allowing them to make better decisions without having to understand complex data or algorithms. For example, generative AI could help operators understand what the next best action is to

The recent “Navigating the Data Tsunami: The Rise of IIoT Sensors in Industry 4.0” session at IIoT World Manufacturing Days highlighted insights into the transformative power of time series data and advanced data analytics in manufacturing. This follow-up interview delves

The advent of smart manufacturing promised higher visibility into factory operations and fast data analysis. Today, it’s safe to say what the industry has achieved has gone way beyond these expectations. The market is showing immense progress and a positive

Discover how Abrasive Technology, a leader in super-abrasive tooling and coatings, revolutionized its manufacturing processes with Node-RED. This case study delves into the challenges, solutions, and impressive results achieved by integrating this versatile low-code tool. Download the full case study

A unified namespace (UNS) provides a single point of access for all manufacturing data within an organization. It aggregates data from various sources like orders, historical records, telemetry, and execution information. Instead of functioning as a single version of the truth, a UNS

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 explore the main ideas

Generative AI is transforming the manufacturing industry by offering innovative solutions to enhance efficiency, improve product design, and optimize processes. Let's explore three specific ways generative AI can be applied to jobs in manufacturing, providing concrete examples for each. 1. Enhancing

In today's fast-paced industrial landscape, manufacturers are constantly seeking ways to stay ahead by optimizing processes and embracing new technologies. For a successful IIoT transformation, it's essential to bridge the gap between IT (business data) and OT (factory equipment data). This