Boosting global competitiveness through digitalization and standardization
European industries are under pressure. High labor costs and a growing shortage of skilled workers make it challenging to compete globally. The solution? Digitalization and standardization.
The Rise of AI in Manufacturing to Collect and Use Data
While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards.
From Simple Fixes to Advanced AI: A Small Manufacturer's Guide to Industry 4.0
You might be aware that Industry 5.0 is aspirational for even the manufacturing who's who and while the jury is still out on what exactly the goal of 5.0 is, many experts observe that Industry 4.0 is far from complete
Why Cloud-Based EDI Is Imperative for Manufacturing
An effective EDI in manufacturing must be as agile, accurate and secure as leading manufacturers themselves. The only way to achieve that is to use a cloud-based alternative to conventional solutions.
How Remote Industrial Operators Will Dominate the AI Race
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Companies that secure data ownership today are the ones who will lead tomorrow or, in Olympic terms, will earn gold in the AI race.
What is "Platform as a Service" and How Does it Improve Efficiencies in IIoT Ecosystems?
With each new IIoT device brought to market, manufacturers spent untold amounts of time and money making it live up to its potential. Time and again, they were building and rebuilding the same technology to enable data-based decision making, miles away from the device itself
7 Reasons Cloud Data is Driving the Future of Auto Manufacturing
Storing and analyzing auto manufacturing data in the cloud has several advantages automakers can't afford to miss. Here's a closer look at these benefits and why cloud data will drive the future of auto manufacturing.
The Data Revolution Is Transforming Manufacturing-Don't Fall Behind
Getting a robust, firing-on-all-cylinders data operation is a far less labor-intensive process than many seem to suspect, and the dividends it yields invariably outpace whatever effort is expended on getting it off the ground.
Why Data Contextualization is Critical During the Digital Transformation Era
Data is the critical driver of change, but even the highest quality data can't drive change in a vacuum. Simply gathering and accessing data is not enough-manufacturers must leverage it in context to make decisions that enhance value in times of digital transformation.
Data Guys Versus Production Pros - Who is the Best Person to Train AI Programs for Defect Detection?
Artificial intelligence has the potential to deliver game-changing results for quality inspection and defect detection. However, until now the process of training the model has proven problematic.
Giving Second Life to Legacy Systems Through the Industrial Internet of Things
Due to the fact that manufacturing and IT systems have historically developed in parallel, they cannot communicate by default, which forces companies to struggle with compatibility issues when performing digital transformation.
Industrial Analytics: A Catalyst for Sustainability in Manufacturing
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There was a time when the average manufacturing facility was a kind of black box: you could measure inputs and outputs, and roughly gauge other metrics, but precision was a pipe dream. That's changed drastically in recent decades, with the advent of the IIoT
Why Manufacturing Leaders Should Embrace Data-Driven Manufacturing
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In order to continue to stay relevant and competitive, manufacturing must embrace technologies like Big Data, AI, AR, and more to help improve processes, increase productivity, and make informed, data-driven decisions. But are manufacturing companies doing so?
The Importance of Data Ops & Context in Batch Manufacturing
Context in batch manufacturing provides the "where" and "when" for a given recipe. Analytics can then be run within the context of a particular piece of equipment or unit and across all levels of a batch, providing the ability to perform batch-to-batch comparisons.
What is Data Analytics?
Data analytics is a powerful tool for manufacturers, which involves applying mathematical techniques to extract valuable insights from data. This can help to improve systems, understand trends, and increase efficiency across various industries.
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Featured Product
T.J. Davies' Retention Knobs
Our retention knobs are manufactured above international standards or to machine builder specifications. Retention knobs are manufactured utilizing AMS-6274/AISI-8620 alloy steel drawn in the United States. Threads are single-pointed on our lathes while manufacturing all other retention knob features to ensure high concentricity. Our process ensures that our threads are balanced (lead in/lead out at 180 degrees.) Each retention knob is carburized (hardened) to 58-62HRC, and case depth is .020-.030. Core hardness 40HRC. Each retention knob is coated utilizing a hot black oxide coating to military specifications. Our retention knobs are 100% covered in black oxide to prevent rust. All retention knob surfaces (not just mating surfaces) have a precision finish of 32 RMA micro or better: ISO grade 6N. Each retention knob is magnetic particle tested and tested at 2.5 times the pulling force of the drawbar. Certifications are maintained for each step in the manufacturing process for traceability.
