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,…
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…
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.…
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…
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. This IIoT World guide, based…
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…
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…
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…
At first glance, data modeling projects in an industrial ecosystem can seem daunting. There are many factors that manufacturers must consider to ensure their data modeling project is successful. The following guidelines address commonly encountered challenges…
At the Realize Live 2024 event in Las Vegas, IIoT World's Greg Orlof sat down with Raymond Kok, the newly appointed CEO of Mendix Corporation, to discuss the company's role in facilitating digital transformation in manufacturing.…
In the words of Maurice Switzer in Mrs. Goose, Her Book: “It is better to remain silent at the risk of being thought a fool, than to talk and remove all doubt of it.” Sometimes less…