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Like the United Nations’ international delegates who use interpreters to understand each other, robots, machines and other industrial components from various vendors speak different computer languages and need translators to help them communicate.

If there is a common thread found in the women Smart Manufacturing identified as making their mark in robotics and automation, it is a heightened awareness of the impact humans have on the planet without trying, as well as the positive impact we can have with concerted efforts.

To grow in today’s manufacturing world, shops need to consolidate operations, automate, increase efficiency, capture and analyze data and more, in order to fully leverage opportunities in thriving industries, such as aerospace.

Teenaged Jamie Yelle daydreamed as he pushed a broom across the floor of his father’s machine shop. As he cleared a path through aluminum chips, filings, and scraps of metal around the machinery, he imagined what the company would look like if he were at the helm.

Simulation tools are making it much easier for manufacturers to optimize their processes, visualizing the entire path of production from NC metalcutting simulations through 3D design and factory-floor imaging.

Your father’s Oldsmobile may be long gone but his B-52 is still pulling missions, and they haven’t built the “BUFF” (Big Ugly Fat Fellow) since 1962. The last KC-135 tanker was built in 1965. Besides aging warbirds (the average plane in the US Air Force is over 28 years old) there are hundreds of ancient civilian airliners carrying friendlier payloads everyday. The key to doing this safely is of course excellent maintenance and periodic upgrades. Laser scanning plays an essential role.

In addition to carbide, ceramics, and cermet, the drive to create the hardest possible cutting tool materials has given us the alphabet soup of PCD, PCBN, CVD-D, and MCD (polycrystalline diamond, polycrystalline cubic boron nitride, chemical vapor deposition diamond, and mono-crystalline diamond, respectively).

Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.

Consumer expectations have shifted to almost unrecognizable levels, catalyzed by innovative tech companies like Amazon, Lyft and Netflix. Previously acceptable levels of customer service are no longer good enough. Customers now expect real-time support and answers to complex questions at the ready, at a minimum.

Strong 2016 earnings among top industrial laser providers, continued brisk adoption of fiber lasers, cheaper ultrafast lasers, and a host of novel applications and notable corporate acquisitions signal a big year ahead for photonics-based manufacturing.