From Pilot to Plant-Wide: Ensuring Scalable AI Solutions in 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
Navigating the Intersection of AI, Cybersecurity, and Operational Technology
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
Generative AI: Bridging the Knowledge Gap for Manufacturing Personnel
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
Harnessing IoT and Time Series Data to Revolutionize Manufacturing
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 Age of Accuracy: How Smart Manufacturing Is Redefining Unbiased, Efficient, and Sustainable Factory Processes
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
Revolutionizing Precision Manufacturing: How Node-RED Transformed Abrasive Technology
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
What is a Unified Namespace and How Does it Work in Manufacturing?
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
Making Renewable Energy More Efficient with Time Series Data
Renewable energy is more important than ever, so integrating advanced technologies is pivotal for enhancing efficiency and reliability. Among these technologies, time series databases, particularly InfluxDB, are proving instrumental. This article delves into how the renewable energy sector uses time
Building Trust and Security in the Evolving IIoT Landscape
In the evolving landscape of the Industrial Internet of Things (IIoT), cybersecurity has become a critical concern for manufacturers. The increased connectivity of industrial environments exposes Operational Technology (OT) to significant threats, particularly from supply chain attacks. Ensuring the security
From Data to Decision: The Role of AI and ML in Modern 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 explore the main ideas
Three Essential Uses of Generative AI in Manufacturing
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
Artificial Intelligent Seasons
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 colleagues coined "artificial intelligence" there.