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Energy markets across the world are changing rapidly with the increase of renewables and the change to a more distributed energy network. Energy storage is key. The capabilities of large-scale batteries have expanded, allowing users to capture more value and create a powerful tool to manage energy needs.

So you have finally decided to start your digital transformation. You have seen the benefits around digitizing your operations. By connecting your disparate systems, you can start seeing what is actually happening in your plant and become more efficient. And not just in one plant, but in multiple plants.

The human factor is sometimes just too cumbersome in manufacturing. Take the German chipmaker Infineon: By using an autonomous robot called Scout from MetraLabs for the last several years, the automotive supplier shrank to 10 from 300 the number of minutes it takes to collect the clean-room data needed to measure the presence of rare gases in the air.

If you’re feeling a bit overwhelmed by the prospect of Industry 4.0, and perhaps a bit sheepish about your lack of progress, you’ve got good company.

When Meyer and Ida Cohen founded Meyda Tiffany Co. in the early 1970s based on a family hobby of making stained glass windows, it’s doubtful that they ever thought it would evolve into the leading U.S. manufacturer of custom and decorative lighting.

Necessity, as the saying goes, is the mother of invention, and this symbiotic relationship between need and solution was on full display at a recent two-day, two-location event hosted by GF Machining Solutions.

Laser welding is a superior technology for repairing defects in tooling, plastic injection molds, stamping dies, blow molds, turbine blades, and nearly any tooling component made of stainless steel, aluminum, copper alloy, cast iron, and all tool steels.

The German metrology developer Jenoptik is shifting “from focusing on metrology and laser processing standalone equipment to integrated automation solutions for the automotive industry.

The U.S. Army is working assiduously to flight-qualify engine parts it has redesigned using additive manufacturing (AM).

Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.