Five Print Trends to Look Out for This Year

Five Print Trends to Look Out for This Year

At the back end of last year, a report by Smithers entitled The Future of Global Printing to 2024 forecast that the global print industry will be worth $874 billion by 2024, with its overall value increasing by 1.3 percent year-on-year. While this is a particularly volatile market, constantly subjected to wave upon wave of disruption as the digital revolution marches on, it is also incredibly adaptable, capable of evolving with the times while other industries often falter. And these impressive figures are perhaps testament to this.

So what does the year ahead hold for the print industry? And what are the key trends likely to affect the market in the coming months? Here are our top five.

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A Look Ahead at Publishing in 2020: AI, AR, Plan S and More

A Look Ahead at Publishing in 2020: AI, AR, Plan S and More

As 2020 begins, we look at what the year holds for publishers of all kinds, and how technology can help them improve their systems, increase revenue, reach new readers, and more.

#AI #technology #innovation #automation #workflow #AR #PlanS

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Bias in AI: Lessons for Publishers

Bias in AI: Lessons for Publishers

During the Frankfurt Book Fair, we teamed up with Springer Nature to host a panel debate entitled “AI 2.0: Machine-Generated Content, Intelligent Automation, and the Future of Academic Publishing” in which speakers from KGL (Cenveo at the time), HighWire Press, and Springer Nature explored ways in which publishers are implementing artificial intelligence and machine learning.

During the discussion, the panelists were asked if there are any drawbacks for publishers relying on this technology to automate processes. Jim Longo, VP of Product Management for HighWire, noted that one of the challenges that has come up is the issue of bias. Because humans are at the heart of writing the code or training machines to perform tasks, the technology is reliant on the perspectives and experiences of those individuals creating the algorithms that could inherently lead to unintended bias.

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AI 2.0: Machine-Generated Content, Intelligent Automation, and the Future of Academic Publishing

AI 2.0: Machine-Generated Content, Intelligent Automation, and the Future of Academic Publishing

Every year at the Frankfurt Book Fair, there is a buzzword or phrase that continues to pop up on panels, in articles, and in conversations and meetings. In the past, we have seen ‘big data’ and ‘blockchain’ dominate the headlines, but this year’s buzz word (or acronym) was ‘AI,’ as publishers, information professionals, service providers, and the media debated how this technology can be used in the industry.

Because machine learning and artificial intelligence are integral to KGL’s work helping to alleviate pain points for publishers, we partnered with Springer Nature to host a panel entitled “AI 2.0: Machine-Generated Content, Intelligent Automation, and the Future of Academic Publishing.” On the panel, speakers from KGL (Cenveo at the time), HighWire, and Springer Nature talked about everything from workflow automation and high-speed publishing, to companies that use machine learning and AI for discovery, peer review, and even highlighted emerging technologies which allow publishers to offer a broader range of tools and services to serve researchers and authors.

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Top Trends in AI

Top Trends in AI

In recent years, publishers have begun to utilize advances in artificial intelligence (AI) and machine learning to significantly change their businesses for the better. Though some innovations, such as using an algorithm to predict if a book will be a bestseller, have gotten more news coverage, AI and machine learning have been incredibly useful to publishers to help process user data to better understand the marketplace, to improve peer review, to help with workflow, and even to create new products. Here are some of the most notable current trends we have observed.

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