AI (Artificial Intelligence) is a broad term in the world of technology. AI and printing is forward-thinking at this point but it’s not far from being utilized in office printing.   In this post we want to help you learn what AI may mean to you and your organization.

First a definition.  AI has become an umbrella term for technology that simulates the intelligence of humans in machines – It enables machines to adjust to new inputs and perform human-like tasks.  That’s likely to have real world consequences in the future but we’re seeing AI like performance from some software right now.

PaperCut, which is a print management software can be used to load balance between printers, sending print jobs to those that aren’t being fully utilized and suggesting more cost effective alternatives to users that wish to print.  Granted these are pre-programmed into the software but it’s not hard to imagine a time when it will make some of those decisions on its own.  Beyond that here are some likely uses for AI in office printing.

Security
A well-known issue with printers and multifunction devices, security can be enhanced by AI.  With machine-based learning, new threats can be more quickly identified and mediated by your office printers and their software as they become more self-monitoring.  A combination of advanced analytics and machine learning will make office printers safer on your network.

Maintenance
“Oh the copier’s down again.” That might not be happening so often once machine-learned predictive maintenance takes hold.  Most networked printers have embedded sensor technology that can be collected and analyzed.  With the right predictive engine, parts likely to fail could be scheduled for replacement or repair prior to users ever noticing loss of efficiency.  Also firmware, responsible for a large chunk of performance issues, could be made to re-write and download to correct problems prior to having a technician touch your device.

Digital Automation
Banking and insurance organizations are already using intelligent automation based on deep learning techniques. They use algorithms to convert complex handwritten and typed information then categorize them and place them into digital files. Manual and repetitive jobs like quoting can also benefit from this technology.

Bottom line:  we could see printer vendors focusing more on AI and incorporating advanced learning into their offerings as the convergence digital and paper-based worlds progresses.  It’ll be fun to watch how we re-invent ourselves with the new technology.

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