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My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

Spend enough time on shop floors and you’ll learn about the two different groups of skilled workers that reside there. On one side are the old-school machinists—skilled craftspeople who use their hands, eyes and ears to guide machine tools. On the other side are the programmers and engineers.

For ABB, robotic welding comes down to a never-ending process of ensuring parts are suitable for laser joining and developing the appropriate processes. To that end, ABB is refining a recent innovation to improve beam delivery speeds and has developed software for on-the-fly welding in tandem with Trumpf’s Intelligent Programmable Focusing Optic (IPFO).

Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.

Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

DMG Mori (Hoffman Estates, IL) delivers manufacturing technologies to aerospace OEMs and production shops supported by a package of CAD/CAM/CNC hardware, software, and engineering services from Siemens Industry Inc. (Elk Grove Village, IL) for aerospace machining. A long-time partner with Siemens, DMG Mori builds a variety of conventional chip-cutting and ultrasonic machining centers.

Complexity is pervasive in today’s component design and manufacturing processes. In the latest product lifecycle management (PLM) software, manufacturers get more choices, with new functionality being added to help visualize manufacturing processes with technologies that include augmented reality (VR) and virtual reality (VR).

As the move toward a more connected manufacturing industry gains momentum and manufacturers start collecting factory-floor data, the need for fast, efficient data analysis becomes ever more critical.

If left on their own, material handling assets will slowly degrade and eventually fail, often at the most inopportune moment. But with a little planning, you can not only extend their useful life, you can also optimize performance.

The International Federation of Robotics forecasts that by 2019, 1.4 million industrial robots will be installed in factories around the world. Manufacturing organizations are looking to this technology as a way to streamline operations, improve safety on the factory floor and grow their business.