Digital transformation and Industry 4.0 are changing the way manufacturers operate. Do your customers understand what you have to offer during this exciting time? Kelly builds stories that help your targeted audience understand the value of your product or service.
“In the digital age, microelectronics foundries are not unusual, but the one at Northrop Grumman’s Space Park site is unique: it’s focused exclusively on developing microchips that can withstand the harsh conditions of outer space.”
Read the story in Manufacturing and Engineering Magazine.
“With XR, any gaps between manufacturing and design can be worked out in a simulation far in advance of the actual assembly of the product.”
Read the story: Now by Northrop Grumman.
In the 1960s, a tractor manufacturer teamed up with IBM to create a system for tracking inventory and production. The idea caught on, and today, many industries use ERP systems — even those that don’t deal with physical products.
Read the article on Quickbase’s website.
“Like many previous generations of disruption, the cost of digital tools for industrial operations declined as technology matured and adoption increased.”
Read Korn Ferry’s white paper.
“Today there is more access to data and the ability to analyze and visualize that data in a meaningful way.”
Read the story on Northrop Grumman’s website.
As the saying goes, it's best to measure twice and cut once. By creating a culture of continuous improvement, you put quality and efficiency at the core of the business.
Read it on Quickbase’s blog.
“Together, carbon nanotubes and additive manufacturing — also known as 3D printing — can help to solve two of the biggest challenges in aerospace engineering: electrostatic discharge (ESD) and radiation.”
Read the story at northropgrumman.com.
While many other industries rely on digital tools to communicate and run their businesses, small construction businesses face a distinctive challenge because job sites may lack the necessary infrastructure to enable AI integration. How do you stay connected to colleagues and cutting-edge tools like AI when building from the ground up?
Read the article on Verizon’s B2B website.
“The XR team is creating narratives, sketching maps, selecting 3D assets, and developing game mechanics to complement existing course material and to match training objectives.”
Read the whole story: Charles River Analytics.
“You carefully wash your hands, get dressed in head-to-toe sterilized garments, and then cautiously enter the cleanroom. Despite your best efforts, the simple fact that you are human means your presence contaminates the cleanroom.”
Read the blog post: Berkshire.
“Despite the inherent manufacturing complexities, researchers and investors are hopeful that the clinical benefits of novel biologics and C> will outweigh the challenges of producing them, which will eventually lead to more commercially-available advanced biologics.”
Read it on the life science investor’s website.
“The real magic happens when technologies combine, and machines and software programs communicate with each other.”
Read the story at Now by Northrop Grumman.
“The old way of building aircraft stiffeners involved manual labor. It can take tens to hundreds of layers of composite material to create stiffeners, the layers being similar to reinforced tape…To address those costly manual problems, Benson and his team invented an automated stiffener-forming process.”
Read the story at NorthropGrumman.com.
“Carbon nanotubes are hollow tubes made of rolled-up graphene sheets (a single layer of carbon atoms) with diameters typically measured in nanometers and length measuring several microns. They also have an incredible aspect ratio, being less than 100 nanometers in diameter while stretching as long as a thousandth of an inch. This really brings long and skinny’ to a whole new (tiny) level.”
Read about CNTs on Northrop Grumman’s innovation page.
Powerful robots will soon get artificial eyes and a brain. This next gen upgrade is what engineers at Northrop Grumman are developing through sophisticated deep learning algorithms. Adding to the automation process in the manufacturing setting, machine vision will be used to autonomously inspect and classify electronic components.
Continue reading here.