AI, Machine Learning and Printing Industry

There’s no doubt that Machine learning and AI are emerging very fast. With them, other industries and businesses are also getting pace. Google, Facebook, Tesla all of the big names are leading the way. It’s quite clear that AI will hit other businesses as well, such as the printing industry.

With Big Data and Artificial intelligence companies are getting predictive maintenance. Though it is not a new idea, multiple MPS (managed print services) are still lining up because of its efficiency and service quality. Printers and MFPs already have integrated sensors to collect and analyze the data.

But there is no adequate control over the volume of data generated. In many cases, the analytics tools aren’t flexible enough to do massive data analysis or you can say they aren’t designed to implement machine learning and AI. We need to combine advanced algorithms with machine learning and AI. This way we can get more efficiency and real-time insights. The blend of deep learning techniques, AI and machine learning hold a promise of driving innovation, efficiency, and productivity for businesses and there will be a time when even a cheap brochure printing store can use the advanced form of these technologies.

Artificial Intelligence can be implemented across the following areas which will provide new opportunities for manufacturers and printer industries to enhance their existing services:

Protection from security threats: AI is often considered as both: a friend or a foe. A theory suggests that AI can be used to build a next-generation Malware which will behave like a human and identify and attack the target itself. Advanced Printers and MFPs are IoT connected devices and that makes them vulnerable to security threats. To self-heal and self-monitor we can use AI as a new class of protection.

Instead of specific device-level applications, machine learning coupled with more advanced Artificial intelligence will help businesses to provide real-time anomaly detection and network-level behavior analytics. The concept is whenever a security breach occurs or a potential security threat is detected, machine learning in combination with AI and analytics engine will response with effective and optimized remediation actions.

Digital automation:

Many businesses still remain dependent on paper and the acceleration of digitization actions are well underway. RPA (Robotic process automation) is considered as the equivalent of AI in terms of replicating humans. But what RPA lacks is the ability to learn a thing itself. When it is combined with Artificial intelligence it can be remarkably powerful.

AI to an extent but not necessarily true can read complex unstructured records such as typed information or handwritten files and convert them into digital files. This approach can be revolutionary for manual jobs such as quotes verification and claims processing. Though self-regulation of the paper-based process is challenging, AI combined with RPA can be can provide a much-needed paper and digital world bridge.

We can say that the printing industry is already a victim of digital disruption. The full adoption of Artificial intelligence is still years away, printing industry should start investing now in the technology to keep their services up to date and relevant.