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Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data.

Most manufacturers have relied on third-party vendors to make parts that are then incorporated into the final product. From automakers sourcing stereos and aircraft makers contracting for jet engines to a small bakery ordering plastic bags or a woodshop buying nails, producers of all types have supplemented their internal capabilities through a painstakingly developed supply chain of external vendors.

The combination of metrology hardware, adaptive CAM software and connectivity to plant-wide systems is making additive hybrid machine tool applications ever more practical on the shop floor.

The low temperature intrinsic to solid-state printing processes allows manufacturers to weld layers of dissimilar metals without fear of metallurgical incompatibility issues.

The U.S. needs to build a national infrastructure in engineering and manufacturing R&D that parallels its scientific infrastructure. While it makes all the sense in the world, it is not happening.

Beware predictions of the demise of any technology. If the early 1920s saw the dawn of the optical comparator, there has been much speculation about its sunset. That was especially true when vision systems started hitting their stride a few years ago. Many could see optical comparators were superfluous with the use of vision systems. Many thought the sunset of optical comparators was imminent. Many were wrong. Why?

When the new ISO 9001:2015 certification standard was announced in late 2015, it made waves in manufacturing due to its heavy emphasis on risk management. In our experience, in helping companies become ISO 9001:2015 certified, we’ve seen first hand how the value of embracing a risk-averse culture and the other core aspects of ISO 9001:2015 extends to all aspects of operations.

The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.

Smart manufacturing is about making the best decisions in the shortest time possible based on the most accurate real-time data—whether those decisions are made by people, machines or cyber-physical systems.

Nearly a year ago, the world became aware of a new computer virus known as WannaCry. Many institutions were affected by the ransomware. It encrypted and locked a Microsoft Windows computing system and demanded payment.