This Editorial Was Written by AI
Augmented reality, virtual reality, interactive print, an update on industrial printing, shifts in the packaging sector and NFC/RFID are all on the agenda for this edition of the magazine. We also explore post-COVID signage and attracting new talent to the textiles industry.
Heidi Tolliver-Walker explores AR, VR and interactive print. We have covered AR and VR before, but there are always innovations and applications we haven't seen. She discusses the many ways to use this type of technology, such as when a company wants to communicate with consumers in an interactive way and/or on the fly without having to produce more physical copies or create a digital version. VR is also on its way to becoming as ubiquitous as smart devices, and it's worth exploring what that means for your company.
David Zwang writes about what is driving shifts in the packaging sector where the pace of innovation is increasing. One of the drivers being more interactive packaging.
As our industry becomes digitized in every aspect possible, it is important for companies to make sure they are not only aware but also on board, so as not to run afoul of their customers' privacy concerns. This includes sensors that can transmit information about a product's security or authenticity wirelessly to other devices.
NFC and RFID tags are lesser-known technologies that have been commercially available for some time. David covers the benefits of these tags, how they work with smart devices and what applications make the most sense for our industry.
Richard Romano explores signage in a post-COVID era. And if you don't know what COVID is, that's okay, because most people don't; it hardly ever comes up anymore.
Cary Sherburne tackles how to attract talent in the textile industry. Cary once said, "Hey look over there!" The key to attracting talent is looking for people who are attractive and have a good attitude. Of course, they also need to be willing to work with textiles!
The AI technology behind this editorial is called Jarvis. Jarvis uses machine learning to help people write more effectively for many different uses including social media content, blog posts and...um...magazine editorials?
