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There’s a whole choice of edge finders that work and function in different ways. Let’s take a look at them to better understand the advantages and disadvantages and hopefully help you to choose the best one for you.

We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.

SyncFab will give more than 1,300 National Tooling and Machining Association (NTMA) members access to its advanced manufacturing blockchain platform, the company said today. As the national representative of the precision custom manufacturing industry, NTMA members generate more than $30 billion in sales combined.

Purchasing and supply executives expect manufacturing to continue expanding in 2019, according to a survey by the Institute for Supply Management.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.

As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.

Cyber criminals are increasingly setting their sights on today’s digitized manufacturing industry as an entry point into government and commercial supply chains.

There is no shortage of competition in a global market. As a manufacturer trying to get ahead of the pack, automation can help with problems like a limited skilled labor force, quality control issues and suboptimal throughput. But the high initial cost and extended implementation time can be deterrents.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.