The digital publishing arena circles around terms like Artificial Intelligence and Natural Language Processing (NLP) tossed around regularly, you would benefit yourself to get to know them and in actuality get around to exploring them continuously in real time for potential use cases in the digital publishing space. With complex work processes describing a major aspect of the publishing operations, the potential of Artificial Intelligence is quite accentuating to the degree that they can really automate huge bits of these work processes, and make critical value additions to organizations involved in publishing operations, authors, editors, reviewers etc.

· Value Addition for Editors in Decision Making

Artificial Intelligence boosts the human potential by assisting the mechanisms to recognize and develop novel frameworks. The process includes creating algorithms that facilitate the mechanisms to swiftly analyze huge amounts of information, determine continuous patterns with the information, develop analytics based decisions and provide suggestions based on the analytics. Corely, Artificial Intelligence and Natural Language Processing disentangle the varied operations of the publishing process.

· Rectifying Minor Errors

UniTouch developed by Thomson Digital offers in-built Artificial Intelligence and Machine Learning that helps to assesses whether the article is acceptable or not for further processing, publishable quality. Subsequent to the assessment process, AI & NLP examine each article that comes their way with pre-set sentence structure and arranging rules. The platform helps in automatically address minor mistakes like syntax and punctuation, and marks more issues that may require an editorial manager’s consideration. It also processes journals that are high-quality and can propel directly to the typesetting and page layout arrangement stage.

· Automating Publishing Processes

Artificial Intelligence and Natural Language Processing in the publishing platform can facilitate smart automated publishing operations so as to decrease the time to publication, improve article quality, upgrade the author’s experience, and lift the promptness of science. AI and NLP can be utilized to create huge impacts in the peer review process by assessing the initial manuscripts, extricating key terms for relationship mapping, examining the language quality, pointing out plagiarism issues, and matching manuscripts to journals and the reviewers.

· Speed Up Production Operations and Decrease Lead Times

Since production operations are very tedious and there is a consistent demand for quicker, less expensive, and shorter turnaround times, Artificial Intelligence and Natural Language Processing can speed up the editorial operation and provide a better service to its authors with more convenient and timely publications. From filtering through the huge volume of data to marking content and process anomalies, AI & NLP have become an imperative part of the publishing production process.

· Decreasing Extensive Review Rounds

By decreasing the number of touch-points that a manuscript needs to move through, Artificial Intelligence and NLP together can speed up through the framework, utilizing algorithms, rather than sitting through the manual review rounds that are regularly long and tedious. This eliminates manual efforts required in the editorial process and might also diminish the component of human bias. AI & NLP are utilized as smart technological advancements that significantly lower the operational costs and enhance the efficiency of the publishing production operations