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Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.

Blockchain technology is becoming a key player in modernizing supply chains to enable easy tracking, automate transactions and delivery, and build end-to-end trust, Chandra Narayanaswami, principal research staff member, Member IBM Academy of Technology at IBM Research, told people attending a smart manufacturing session at the MD&M West conference here last week.

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.

Siemens announced today the introduction of Camstar™ Electronics Suite software, an innovative manufacturing execution system (MES) for electronics.

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.

There is an ever-increasing demand for the individualization of products from today’s consumer. When consumers are able to get exactly what they want (shape, size, color) they are more satisfied and more likely to do repeat business. But how do you scale custom part production?

The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.

There is still a lot of talk about breaking down the “silos” within a manufacturing enterprise. Siemens, like other software providers, is trying to address the problem by offering toolsets that are easier to integrate and work together.

When it comes to the production of high-precision parts for industries ranging from aerospace to medical, grinding remains the best, most cost-effective approach to obtaining fine surface finishes and tight tolerances.

The concepts Industry 4.0 in Europe, Made in China 2025 and smart manufacturing in the U.S. “all share a common goal—to create cyber-physical systems to innovate in manufacturing,” IDC's Bob Parker said at Dassault Systèmes’ recent Manufacturing in the Age of Experience event. “And it’s really dependent on a set of new technologies like IoT (the Internet of Things) and artificial intelligence (AI).”