Frankfurter Buchmesse 2023: The State of AI

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Frankfurter Buchmesse 2023: The State of AI

When ChatGPT launched last November, the publishing industry began to discuss and write about how we can use AI in our industry—will it be used to help with research, to produce journal articles, to create marketing copy or content, to conduct scholarly communication, in peer review, or in ways we have yet to discover?

Here at KGL, as discussed recently on our PubFactory Virtual Series: Industry Day community event, we have been experimenting with AI detectors for peer review, media creation, alt-text generation, and a “conversational manuscript” using ChatGPT, among other potential use cases.

Though new applications (and implications) of AI are being discovered every day, one panel at the Frankfurt Book Fair this month seeks to provide the most up-to-date information on AI and its impact on the industry in “The State of AI in Publishing Today:”

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Developing a Culture of Accessibility

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Developing a Culture of Accessibility

Accessibility has been the buzzword in publishing over the last several years as the industry embraces the need to make its content available to all readers. We at KGL have previously highlighted innovations in accessibility in K-12 learning and also potential hazards of not making scholarly content accessible.

As we look to the future, most specifically 2025 when the requirements of the European Accessibility Act will be enforced, we want to focus on the important steps and perhaps changes in corporate culture publishers need to take in order to make their content available for all readers.

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Can We Adjust to a World Without In-Person Publishing Events?

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Can We Adjust to a World Without In-Person Publishing Events?

There are very few industries which cherish live events more than the publishing industry. From big global conferences to local literary festivals, networking events to gala dinners, award ceremonies to book launches, our industry is one which has been built on the foundations of face-to-face contact, the pressing of flesh, the forming of enduring and meaningful relationships, and getting out there to see and be seen.

This is why publishing, maybe more than any other profession, is facing something of an identity crisis as significant calendar events get cancelled, rescheduled or brought online due to COVID-19, thus transforming the way we’ve gone about our business for decades.

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

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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

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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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