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Today, it’s tremendously difficult to get products made. To turn an idea into a tangible object requires a list of difficult-to-obtain resources, including expensive machinery and capital, and a lot of time to program and configure machines.

New system detects process anomalies during metal cutting in machine tools.

Change is hard. Whether it’s learning a new software package or setting up a new model of machine tool, many of us wonder at some point, “Is all this hassle worthwhile?” Change can also be risky, raising the specter of lost time, revenue, and reputation.

Mark 2020 as the year the U.S. government chose to stand up a Manufacturing Innovation Institute focused solely on cybersecurity.

Siemens, IBM, and Red Hat today announced a new collaboration that will use a hybrid cloud designed to deliver an open, flexible and more secure solution for manufacturers.

With CAD/CAM software, machine operators and manufacturing engineers are always looking for the latest twists along the route to optimizing their metalcutting performance.

The industrial revolution of today, called Industry 4.0, is driven by the interconnectedness of advanced technology, automation, robotics, and real-time data, also called the Internet of Things (IoT). While these cyber-physical systems can autonomously exchange information to trigger actions and make decentralized decisions, it’s impossible to dismiss the importance of the human element in manufacturing.

Cofounder Johannes Trabert, who lives a poetic life in the Thuringian Forest, says the future will be focused on ‘the clever share of work’ between humans and robots.

In the manufacturing industry, the importance of metrology, or the science of measurement, is often underestimated. However, inspection is critical for ensuring products work and operate safely.

Artificial intelligence will go long way to imbue data management with trust.