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What's Ahead for Manufacturing AI

A new generation of point artificial intelligence solutions will prove themselves in the near future. They’ll build new trust, urgency and understanding of what ‘AI’ actually is and just how much it can deliver. Voice-driven solutions will lead the charge. And we’ll see pick-and-place robots in smart warehouses delivering a major competitive edge, as companies advance their use of Robotic Process Automation.

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Is the Pulp and Paper Industry Ready for Machine Learning?

Few industries have seen more transformation over the past decade than that of the pulp and paper industry. Gone forever is the ability of the business to rely heavily on staples such as newsprint and glossy magazine paper. Use of electronic devices and media have reduced considerably even the need for paper in the office environment.

Add to this the constant external pressures from government and other organizations pushing for stricter environmental standards. To compete, the paper and pulp industry must embrace efficiency producing new technologies that can save time and money.

While some see machine learning and related technologies as a threat to companies and jobs, these developments will help ensure the long-term survival of both.

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PLM: Where It Began, Where It's Going

Product lifecycle management, or PLM, is the process of managing the entire lifecycle of a product from inception through end-stage disposal. It is sometimes considered one of four information technology cornerstones for a manufacturer, alongside customer relationship management (CRM), supply chain management (SCM) and enterprise resource planning (ERP).

The PLM concept began in the mid-1980s when American Motors Corporation (AMC), intent on establishing a competitive advantage over the auto industry giants of the time, put its focus on using technology to speed the product development process. Although AMC was ultimately acquired by one of those giants, its innovations were integrated into modern manufacturing tech and have played an invaluable role there ever since.

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A New Age Approach to Traditional Manufacturing Issues

As the virtual world collides with real-world manufacturing issues, the winners will be those who successfully navigate the challenges of both the technology and the people who will operate it. That was the central theme of the 2018 Global Automation and Manufacturing Summit (GAMS), presented by CFE Media and Hannover Messe USA and sponsored by Siemens, SAP, Advantech, Beckhoff, Infor, Stratus, UL, Universal Robots, and Lapp.

The half-day thought leadership event that took place Sept. 12 as part of IMTS 2018 in Chicago drew a full house of manufacturing leaders looking to navigate the challenges faced in an age of robotics, artificial intelligence (AI), and the Industrial Internet of Things (IIoT).

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