This article reviews the challenges and opportunities when incorporating generative AI and Large Language Models in industrial applications. It also examines how a Norwegian fishing and biotech company improved operational productivity and efficiency using generative AI.
November 06, 2023 by Moe Tanabian, Cognite
Learn to develop an actual IoT solution end to end, from the initial data collection to web-based visualization and analytics. This first article in the series will explore the setup of the edge device.
October 11, 2023 by Michael Levanduski
PygWalker is a useful tool to visualize data, with advanced features to make the data more constructive. This tutorial continues using the milling machine predictive maintenance dataset.
September 12, 2023 by Michael Levanduski
An introduction to the various tag types used within one of the leading supervisory control and data acquisition (SCADA) software powering IIoT, HMI, and I4.0 applications: Ignition by Inductive Automation.
June 14, 2023 by Michael Levanduski
Learn how to build a machine learning model to predict failure classification based on machine parameters using a synthetic dataset modeled after a milling machine, the same process used in real-world systems.
June 08, 2023 by Michael Levanduski
No more IIoT buzzwords! This article aims to walk through an implementation of MQTT using the paho-mqtt library using nothing more than your local machine and some simple Python programming.
April 04, 2023 by Michael Levanduski
Analytics from data algorithms can predict machine failures and provide diagnostics—but what should we measure? Then, once the information has been collected, what trends might point to problems?
April 03, 2023 by Muhammad Asim Niazi
IIoT is a daunting topic due to ambiguous interactions of hardware and software. This article outlines the basic steps to use an MQTT broker to collect the number of cycles from a pneumatic cylinder for PM software.
January 24, 2023 by Shawn Dietrich
To know if predictive maintenance is the right strategy, it might help to first recognize if it isn’t. Here are some indicators that your organization should improve before implementing predictive maintenance.
January 19, 2023 by Bryan Christiansen, Limble CMMS
Machine learning is a subset of AI that allows a machine to learn using past data. Learn about the two categories of machine learning as well as four major machine learning models often used in industrial applications.
January 11, 2023 by Anthony King Ho
Memory for data is among the most pressing challenges to Industry 4.0. Given the evolving nature of Industry 4.0 and associated memory solutions, however, some memory-based trends are becoming apparent.
January 10, 2023 by Girija Chougala and Karthik Rangarajan, Infineon Technologies