Researchers from University of Pennsylvania, Northwestern University, University of Maryland, Columbia University, and Emory University published a new article in the Journal of Marketing that provides an overview of automated textual analysis and describes how it can be harnessed to generate marketing insights. The study, forthcoming in the January issue of the Journal of Marketing, is titled "Uniting the Tribes: Using Text for Marketing Insights" and authored by Jonah Berger, Ashlee Humphreys, Wendy Moe, Oded Netzer, and David Schweidel. Online reviews, customer service calls, press releases, news articles, marketing communications, and other interactions create a wealth of textual data companies can analyze to optimize services and develop new products. By some estimates, 80-95% of all business data is unstructured, with most of that being text. This text has the potential to provide critical insights about its producers, including individuals' identities, their relationships, their goals, and how they display key attitudes and behaviors.

Publishers are the gatekeepers of modern literature. As technology advances, both traditional publishing houses and self-publishing authors benefit from technology-enabled tools and analytics which were previously not available. There is already a wide variety of tools for all stages of publishing. These do not only help automate daunting processes, but also give power to new independent voices by making self-publishing more accessible. From automated formatting to royalty management software, here are eight ways that AI helps take publishing to the next level. Publishing has always been rife with plagiarism, even in cases of large publishers, such as Grand Central Publishing.