Data mining and Big Data are hot topics. Your company develops process mining software; how does it differ from data mining?
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Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.
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.
When it comes to using new materials, medical and dental device makers are ultra-conservative—because they need to clear devices through a thicket of federal regulators.
New ISO safety specification helps automation developers design safer robots for close encounters on the factory floor
At the RAPID + TCT conference here, Vader Systems this week announced three unique offerings based on its patented Magnet-o-Jet technology.
When Kimberley Hagerty became lean transformation manager at Pratt & Whitney’s Hot Section Module Center, she quickly realized that the company, while flush with the most advanced technology needed to make “the world’s most advanced jet propulsion system in the world,” lacked the “most advanced processes and systems that supported the manufacturing of that technology,” she told people attending The Digital Transformation, a smart manufacturing seminar SME held here recently.
Companies strategically adopt cutting-edge solutions to help solidify their position within a competitive marketplace. Years ago, blue light 3D scanning technology was implemented to help product development and alleviate coordinate measuring machine (CMM) bottlenecks.
It’s probably not a bad idea for smaller and mid-sized manufacturers (SMMs) to adopt an “us against them” attitude as they become aware of the prevalence of cyber-attacks in the digital age of the Industrial Internet of Things (IIoT) and Industry 4.0.
Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.