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My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

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?

Manufacturing operations depend on getting the right information at precisely the right moment, ensuring that products get built on time, to quality specs. With the latest enterprise resource management (ERP) software, this critical data flow is often coming via the cloud, as more manufacturers become comfortable with it as a repository for key manufacturing information.

Q&A with Ben Mund, Senior Market Analyst, CNC Software Inc.

Data mining and Big Data are hot topics. Your company develops process mining software; how does it differ from data mining?

While EDMs offer the benefits of holding tight tolerances, working on nearly any metal, and being well suited for delicate or fragile parts, knowledgeable operators for the machines are increasingly hard to find and robots can’t always fill the gap. Automated processes in the machines, newer designs and features of Industry 4.0 are helping to solve the problem.

More than 4,600 cutting tools items from M.A. Ford (Davenport, IA) are listed on MachiningCloud (Camarillo, CA), with more to come. M.A. Ford manufactures standard, high performance and custom cutting tools with worldwide manufacturing and distribution facilities. MachiningCloud is a product data provider for cutting tools, CNC machines and workholding.

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.

There are many times when a machinist, while cutting a few parts or getting ready for an initial run, needs to check a few parts or a few critical features.

Starting this month, TechFront has a new format that spotlights manufacturing research programs at key universities, followed by summaries of recent research in SME’s Journal of Manufacturing Systems, Journal of Manufacturing Processes and Manufacturing Letters, all published by Elsevier Ltd.