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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AI Goes from Disruptive to Imperative

AI Goes from Disruptive to Imperative

This article first appeared in the Publishers Weekly Frankfurt Show Daily on October 16, 2019.

Publishers have looked on as machine learning technology has developed—but now it’s time to leap.

Over the course of the last five years, AI, natural language processing (NLP), and machine learning (ML) have been much talked about, as well as trialed and tested, in the publishing industry. These technologies are often the focus of panel discussions at conferences such as this one, discussions that have illustrated how AI could be used for a variety of purposes: discovery, peer review, bestseller predictions, and, perhaps most importantly, improving publisher efficiency.

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Educating the Netflix Generation: Digital-First Strategies for Textbooks Take Hold

Educating the Netflix Generation: Digital-First Strategies for Textbooks Take Hold

Publishing giant Pearson boldly announced recently that it was moving towards a digital-first strategy, thus rendering the century old traditional textbook model as good as dead. Meanwhile, higher education specialist Cengage has been steadily expanding its online textbook subscription offering globally, experimenting with new cost-effective digital distribution models to cater to the Netflix and Spotify generation.

There are a number of reasons why, in this day and age, digital-first strategies make more sense than ever for education publishers.

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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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