Artificial Intelligence: Mitigating Inflation in the Manufacturing Industry
In this blog article, we delve into how AI can counteract inflation, offering robust solutions to the complex challenges of today's manufacturing industry.
Why training with few good images is fake news
As recently as five years ago, the only way to teach a machine vision system what a good product looked like was to laboriously show it every possible fault, mark and annotate the errors and catalogue them.
Three Key Takeaways for OT Leaders from the National Cybersecurity Strategy
The National Cybersecurity Strategy released earlier this year takes a deeper dive into the comprehensive efforts that the administration is making in order to bolster cybersecurity. And it emphasizes the need for public and private collaboration.
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.
The Manufacturing Skills Gap: How to Prepare for the Future of Work
In this article, Bjoern explores how performance marketing can help the manufacturing industry address the skills gap and prepare for the future of work. It emphasizes attracting skilled professionals through culture and project showcases.
Precision Tools Hot Off the Press at Paul Horn
Tübingen-based precision tools manufacturer Paul Horn GmbH is testing the boundaries of additive manufacturing. Behind this venture is a push to gain the competitive edge and offer customers the best possible solutions.
BEYOND THE SURFACE: THE POWER OF DENSITY DETERMINATION IN ADDITIVE MANUFACTURING
In this article, we will delve deep into the significance of density determination in AM, exploring how it assesses the quality of metal 3D printed parts and the impact it has on various industries.
HARDWARE AS A SERVICE: A NEW PARADIGM FOR SERVICE CONTRACTS
A flexible revenue approach is a defining feature of HaaS, offering organisations a 'pay-as-you-go' model instead of the traditional CapEx hardware purchasing model. This offers manufacturing organisations, regardless of their size, several advantages.
Glass Manufacturer Modernizes Plants to Extract Value from OT Data from Edge to Cloud
They aimed to adopt a "hub and spoke" architecture to collect OT data, analyze it locally to make improvements, and share it with centralized enterprise and cloud systems for advanced analytics, machine learning, and AI across the business.
SCARA Robot Sorts Recyclables Using a Simple Conveyor Speed Feedback System
As Everest Labs was developing their system to be sold to recycling centers worldwide, they found that their robot needed speed feedback in order to track the recyclables on the conveyor, and therefore needed a simple way to install conveyor speed feedback on a gear motor.
The Future of Injection Molding Relies on Automation
While demand for injection molding products grows, manufacturers are grappling with persistent challenges, particularly staffing and output.
Unleashing the Potential: Quality Validation in Additive Manufacturing
As the adoption of AM grows across sectors ranging from aerospace to medical devices, one critical challenge remains: ensuring the quality and reliability of 3D printed components.
The Hidden Risks of Industrial Control System Manufacturers: Why ICS Environments are Vulnerable
Threat actors are increasingly resorting to supply chain attacks to break into critical industrial sectors such as manufacturing, defense, energy, transportation, healthcare, food and agriculture
ABB survey reveals unplanned downtime costs $103,000 per hour
It emphasizes the importance of effective maintenance strategies and service partnerships. 92% of respondents are interested in how outcome-based maintenance agreements can boost business success
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.
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