Achieving sustainable manufacturing with IoT technology
This article delves into how IoT solutions integrated into manufacturing processes can help achieve industrial sustainability.
How Automation-as-a-Service Combined with AI & AR/VR Is Benefitting Manufacturers
By integrating AR/VR (augmented reality and virtual reality), robotics, machine learning, and AI (artificial intelligence), AaaS solutions automate repetitive tasks, optimize processes, and facilitate data-driven decision-making.
Strengthening Cybersecurity in Manufacturing: The Path to a Defensible Architecture
Manufacturing is at the forefront of technological advancements, leveraging operational technology (OT) to streamline processes and improve productivity. However, this digital transformation comes with its fair share of cybersecurity challenges.
Transforming Logistics and Warehousing
The logistics industry, like many others, is focusing more and more on meeting sustainability goals. This is why we can expect companies to prioritize eco-friendly solutions to address their carbon footprint.
CLEANING UP AM'S DIRTY SECRET
The fact that post processing metal parts requires such intensive manual intervention throws up a series of follow-on problems. These include part-to-part quality inconsistencies, repetition fatigue, significant health & safety risks.
How Investments in Supply Chain Technology, Analytics and Visibility Strategies Can Improve Manufacturing Organizations
It's crucial to prioritize data management before jumping into implementing analytics. Because different departments and processes produce different data types, a common data language is a good place to start to help structure the data and break down silos.
Ultimate Customization - When Is It Justified for Enterprise Internet of Things?
To avoid choosing between the lesser of two evils, we offer to dive into cases where customization is fully justified and even more - when it's necessary for the EIoT solution to succeed.
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.
The Use of Gearboxes in Warehouse Automation
It's crucial to prioritize data management before jumping into implementing analytics. Because different departments and processes produce different data types, a common data language is a good place to start to help structure the data and break down silos.
Running on fumes? AI isn't possible without proper data management
Board members and C-suite executives are asking when AI pilot projects can begin, with a preference for a start date of yesterday. Meanwhile, the plant floor reality is nowhere near ready for AI.
Additive at Scale Uses Essentium Technology to Create an Asset Tracking Solution in 60 Days
Using the Essentium High Speed Extrusion (HSE™) 180 ST 3D Printing Platform and Essentium PCTG-Z, Additive at Scale partnered with Blues Wireless to design and manufacture 100 pilot units for an asset tracking solution for a multinational chemical company in just 60 days.
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.
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