The Global Smart Industry Readiness Index Initiative: Manufacturing Transformation Insights Report 2022

whitePaper | March 3, 2022

Thanks to innovations in vision, mapping, safety and other technologies developed for self-driving vehicles, AMRs have overcome traditional barriers to automation in distribution centers (DCs) and complex manufacturing operations. They’re smart enough to “share the road” with human co-workers and other vehicles, find a different route if their original path is blocked, and respond to rapid changes in orders or logistics needs — all without human intervention. AMRs are also highly cost-effective, requiring minimal information technology (IT) or infrastructural changes and only a short integration period to learn their surroundings.

whitePaper | March 9, 2022

We were founded in 2003 and started building software for use by the intelligence community in the United States to assist in counterterrorism investigations and operations, as well as by commercial enterprises. We have built two principal software platforms, Palantir Gotham and Palantir Foundry.

whitePaper | March 12, 2022

Northeastern Pennsylvania (NEPA), which encompasses Northern I-81 Corridor communities such as Scranton, Pittston, Wilkes-Barre, and Hazleton, has a long history of supporting a diverse array of manufacturing operations.

whitePaper | July 17, 2020

We launched a new product back in late 2019 called GrabCAD Shop. The idea was simple. We wanted to build a solution to make the 3D printing work order management process better—less manual, more integrated, and more cost effective.Now, GrabCAD Shop is the only 3D printing work order management software on the market. It’s the only solution built specifically for 3D print shops. It’s proven to streamline 3D printing workflows, easy to set up with little to no IT involvement, and secure.

whitePaper | January 3, 2023

In order to achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled. This paper will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data using MongoDB Atlas in a way that fulfills requirements and needs of Industry 4.0: interoperability, flexibility and scalability.

whitePaper | November 11, 2022

A fast-changing world forces companies to adapt faster. This creates special challenges for their digitalization initiatives. Composability and no-code technologies enables companies not only to keep up with changes. They allow them also to react rapidly and proactively and even use changes as an opportunity to achieve competitive advantages