November 14, 2019

Bias in AI: Lessons for Publishers

November 14, 2019/ Mike Groth

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.

November 07, 2019

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

November 07, 2019/ Mike Groth

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.

October 29, 2019

AI Goes from Disruptive to Imperative

October 29, 2019/ Mike Groth

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.

July 24, 2019

Top Trends in AI

July 24, 2019/ Mike Groth

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.

June 18, 2019

AI and NLP in Publishing – Three Key Lessons from Industry Insiders

June 18, 2019/ Mike Groth

Recently we teamed up with Publishing Executive magazine to host an informative and enlightening webinar entitled “How Artificial Intelligence and Natural Language Processing Can Increase the Speed and Quality of Publishing”, which explored current use cases and future applications of AI and NLP.

This much-needed discussion demonstrated how publishers are working closely with technology providers to implement AI in an effort to help improve manuscript evaluation, simplify the editing process, improve author experience and boost the immediacy of science and research in the academic publishing sector. Here are just three of the many things we learned from the webinar.

April 12, 2019

WEBINAR: How AI and Natural Language Processing Can Increase the Speed and Quality of Publishing

April 12, 2019/ Mike Groth

A free webinar available on demand from Publishing Executive, sponsored by KnowledgeWorks Global Ltd. (formerly Cenveo Publisher Services)

For quite a few years, artificial intelligence seemed like just another buzzy term with vague implications on the publishing industry. But now, publishers are putting it into action. Through a range of applications, AI and natural language processing are being used by publishers to streamline workflows, produce higher-quality content, and improve the author experience. Greater automation also frees up valuable time to focus on critical efforts requiring human analysis and subject matter expertise. This webinar will explore current use cases and future applications of AI and NLP in the publishing sector and how they’re combining to make research and publications more timely, relevant and useful.

February 05, 2019

AI and NLP for Publishers: How Artificial Intelligence & Natural Language Processing Are Transforming Scholarly Communications

February 05, 2019/ Mike Groth

For scholarly publishers, AI capabilities have advanced to a degree that they can actually automate significant portions of their workflows, with massive implications for their businesses, their authors and the research community. In our latest report, AI and NLP for Publishers, we explore how AI and NLP are being used today in scholarly publishing and how it may impact the evolution of research. We also explore how the technology works and how publishers like Taylor & Francis are, with the help of KnowledgeWorks Global Ltd., realizing the benefits of intelligent automation.

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